#Codeless Testing Market

[rohitpalan]

Codeless Testing Market Set to Surge, Projected to Reach USD 8.6 Billion by 2033

The codeless testing market is expected to reach a worth of US$ 2 billion by 2023, demonstrating a tremendous trajectory of growth. According to a recent analysis by top industry analysts, the market is expected to grow significantly and reach a projected value of US$ 8.6 billion by 2033.

The integration of machine learning (ML), machine learning as a service (MLaaS), and artificial intelligence (AI) in the testing arena are anticipated to be major drivers of this extraordinary expansion. From 2023 to 2033, the Codeless Testing Market is expected to grow at an impressive 15.6% Compound Annual Growth Rate (CAGR).

Key Takeaways:

The Codeless Testing Market is set to witness substantial growth, reaching a projected value of US$ 8.6 billion by 2033, driven by the integration of AI and ML.

AI and ML technologies are revolutionizing software testing, optimizing the testing lifecycle and boosting ROI for software testing companies.

North America and Asia-Pacific are prominent regions for market growth, with the potential for emerging regions to follow suit.

Security concerns and the need for skilled professionals remain key challenges for the market’s progress.

Drivers and Opportunities: The introduction of AI and ML has brought about a paradigm shift in the field of codeless testing. These cutting-edge technologies are being harnessed across various testing aspects, encompassing codeless automation testing, performance assessment, regression testing, and functional testing. The adoption of AI in software testing has gained immense traction in recent years, primarily due to its ability to streamline the testing lifecycle and enhance the return on investment (ROI) for software testing companies.

Competitive Landscape – Regional Trends: The competitive landscape of the Codeless Testing Market is marked by robust regional trends. As businesses worldwide increasingly recognize the advantages of codeless testing, several regions are emerging as hotspots for market growth. North America, with its strong presence of technology giants and early adoption of AI-driven testing solutions, is expected to maintain its dominant position. Meanwhile, Asia-Pacific is rapidly catching up, driven by a burgeoning IT sector and a surge in demand for efficient testing solutions.

Restraints: Despite its promising growth, the Codeless Testing Market faces some challenges. Security concerns and the need for skilled professionals to effectively implement AI and ML-based testing solutions pose potential hurdles. Additionally, the market may encounter resistance from traditional testing approaches in some industries.

Region-wise Insights – Category-wise Insights: Detailed region-wise and category-wise insights are available in the comprehensive report, providing a deeper understanding of the market dynamics. The report offers in-depth analysis, including the market’s performance in North America, Europe, Asia-Pacific, and other regions, along with insights into different testing categories, such as performance testing, regression testing, and functional testing.

Key Segments profiled in the Codeless Testing Market Report

By Solution:

Codeless Testing Tools

Services

Testing & OA Services

Consulting Services

Integration & Implementation

Support & Maintenance

By Application:

API Testing

Mobile App

Desktop App

Web App

By Enterprise Size:

Small and Medium Enterprises (SMEs)

Large Enterprises

By Industry:

IT & Telecom

BFSI

Retail

Healthcare

Government

Education

Manufacturing

Travel & Hospitality

Media & Entertainment

Others

By Region:

North America

Latin America

Europe

East Asia

South Asia

Oceania

Middle East & Africa

About Future Market Insights (FMI)

Future Market Insights, Inc. (ESOMAR certified, recipient of the Stevie Award, and a member of the Greater New York Chamber of Commerce) offers profound insights into the driving factors that are boosting demand in the market. FMI stands as the leading global provider of market intelligence, advisory services, consulting, and events for the Packaging, Food and Beverage, Consumer Technology, Healthcare, Industrial, and Chemicals markets. With a vast team of over 400 analysts worldwide, FMI provides global, regional, and local expertise on diverse domains and industry trends across more than 110 countries. Join us as we commemorate 10 years of delivering trusted market insights. Reflecting on a decade of achievements, we continue to lead with integrity, innovation, and expertise.

Contact Us:      

Future Market Insights Inc. Christiana Corporate, 200 Continental Drive, Suite 401, Newark, Delaware – 19713, USA T: +1-845-579-5705 For Sales Enquiries: sales@futuremarketinsights.com Website: https://www.futuremarketinsights.com LinkedIn| Twitter| Blogs | YouTube

[cybersecurityict]

Crowdsourced Testing Market Size, Share, Analysis, Forecast, Growth 2032: Consumer Behavior and Market Demand Analysis

Crowdsourced Testing Market size was valued at USD 2.6 Billion in 2023 and is expected to reach USD 6.3 Billion by 2032, growing at a CAGR of 10.4% over the forecast period 2024-2032.

Crowdsourced Testing Market is rapidly transforming the software quality assurance landscape, driven by the rising need for agile, cost-effective, and real-time testing solutions. This approach leverages a global pool of testers to evaluate digital products under real-world conditions, enabling companies to deliver superior user experiences. From startups to large enterprises, organizations are embracing crowdsourced testing to shorten release cycles and identify critical bugs across a wider range of devices, networks, and geographies.

Crowdsourced Testing Market is witnessing robust traction as businesses seek to enhance product reliability while maintaining speed-to-market. The availability of diverse testers helps uncover usability issues and functional defects early, reducing the cost and time of post-release fixes. This decentralized testing model also complements DevOps practices by providing continuous feedback through parallel testing, thus improving test coverage and scalability.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3680 

Market Keyplayers:

Applause (Applause Platform, Applause Codeless Automation)

uTest (uTest Platform, Test Cycle Management)

Testlio (Testlio Platform, Testlio Managed Testing)

Crowdtest (Crowdtest Dashboard, Bug Discovery Service)

Passbrains (Passbrains Platform, Passbrains Marketplace)

Bugcrowd (Bug Bounty Program, Vulnerability Disclosure Program)

Synack (Synack Red Team, Synack Vulnerability Intelligence)

Global App Testing (Functional Testing, Exploratory Testing)

Rainforest QA (Rainforest Automation, Rainforest Tester Network)

Cobalt (Cobalt Pentest Platform, Cobalt Core)

99tests (Crowd Testing Platform, Functional Testing Suite)

Testbirds (Testbirds Nest, Device Cloud)

Digivante (Digivante Platform, Exploratory Testing)

Crowdsprint (Crowdsprint Testing Services, Performance Testing)

test IO (Exploratory Testing, test IO Automation)

QaizenX (Crowdtesting Platform, App Usability Testing)

Mob4Hire (MobTest Platform, Crowdsource Usability Testing)

Crowd4Test (Crowd4Test Platform, Mobile App Testing)

WeAreTesters (Crowdsourced QA, Bug Bounty Services)

Market Analysis

The crowdsourced testing market is shaped by the evolving demands of the digital economy. Companies are increasingly recognizing the limitations of traditional testing environments, particularly when it comes to testing under diverse real-world conditions. Crowdsourced testing platforms offer flexibility, global tester reach, and faster execution, making them ideal for mobile apps, web platforms, gaming, IoT, and other digital products. The surge in smartphone penetration, expansion of internet services, and growing complexity of applications are further fueling the adoption of this model.

Additionally, the market is being driven by increasing focus on user experience, where usability and accessibility play critical roles. Organizations are also turning to crowdsourced testing to ensure compliance with localization standards and diverse user demographics.

Market Trends

Increased adoption among SMEs: Small and medium enterprises are leveraging crowdsourced testing for its cost-efficiency and access to global testers without infrastructure investments.

Integration with AI and automation tools: Crowdsourced platforms are enhancing their capabilities by incorporating AI-driven insights and automation features for smarter test management.

Focus on cybersecurity testing: With rising threats, companies are increasingly using ethical hackers and testers in crowdsourced environments to identify security vulnerabilities.

Greater use in localization testing: Brands expanding globally are using crowd testers to ensure cultural, linguistic, and functional alignment across regions.

Real-time testing demand: As development cycles shorten, the need for on-demand, real-time testing is growing, making crowdsourced testing a strategic fit for agile and DevOps methodologies.

Market Scope

The crowdsourced testing market spans across various sectors including e-commerce, BFSI, healthcare, telecommunications, gaming, and media & entertainment. Its scope extends beyond simple bug detection to encompass exploratory testing, usability feedback, beta testing, localization validation, and performance testing. The ability to conduct tests across different geographies, devices, browsers, and network conditions gives this market a significant edge over conventional QA methods.

Furthermore, as digital transformation initiatives accelerate globally, the demand for scalable, diverse, and real-world testing environments is becoming indispensable. Crowdsourced testing not only offers scalability but also helps companies validate their digital products under diverse environmental factors that in-house testing teams may not replicate efficiently.

Market Forecast

The future of the crowdsourced testing market is highly promising, supported by increasing digital product rollouts and the evolution of cloud-based testing infrastructure. As enterprises continue to prioritize user satisfaction and rapid deployment cycles, crowdsourced testing will become a cornerstone of software quality assurance strategies. Expansion in emerging economies, rise in remote work models, and growing reliance on mobile-first applications are expected to drive further market penetration.

Market players are likely to focus on strategic partnerships, AI integration, and tester community development to expand their offerings. The growth trajectory is further strengthened by regulatory requirements for accessibility, performance benchmarks, and the growing complexity of user behavior across different platforms.

Access Complete Report: https://www.snsinsider.com/reports/crowdsourced-testing-market-3680 

Conclusion

In an era where digital experience defines brand perception, crowdsourced testing emerges as a vital enabler of quality and agility. Its ability to tap into global user insights and provide scalable, real-world testing makes it a game-changer for businesses aiming to deliver flawless digital interactions. As technology evolves, those who strategically harness the power of the crowd will lead with innovation, user satisfaction, and competitive advantage.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[kvibe-test]

Revolutionizing Testing with Emerging Technologies

The world of testing practices is swiftly evolving with the integration of cutting-edge technologies. For companies eager to maintain their competitive advantage, these new tools provide opportunities not only to enhance operations but also to develop processes and market strategies that were once deemed unreachable. Technologies like AI, cloud computing, codeless automation, the Internet of Things (IoT), and advanced analytics serve as catalysts for transformation. They reveal substantial opportunities and fresh challenges, urging business leaders to pursue next-generation solutions for refining and leading in testing practices.

AI's Impact on Testing Capabilities

Artificial Intelligence (AI) spearheads this evolution, infusing efficiency and insight into routine testing tasks. AI tools automate the creation of test cases, minimizing errors and accelerating outcomes. This automation reduces manual workload, allowing for more sophisticated test cases and better defect anticipation. Through machine learning, companies can proactively uncover vulnerabilities, shifting the focus from error correction to prevention.

AI-powered testing not only conserves time but greatly improves accuracy in spotting threats and ensuring compliance, which is crucial in industries with stringent regulations. This forward-thinking approach enables faster product launches, boosting a company's market position.

Cloud Computing: Broadening Perspectives

Cloud-based testing offers companies a world of scalability and cooperation. By bypassing hefty hardware expenses, businesses can access virtual environments to test numerous configurations on demand. This setup aids agile methodologies, promoting effective collaboration across global, decentralized teams.

The flexibility of the pay-as-you-go model lowers costs while accommodating the ever-changing needs of current testing workflows. Facilitating swift product experimentation, cloud computing supports both the creation of groundbreaking strategies and their successful execution.

Codeless Automation: Expanding Accessibility

Codeless automation makes testing more accessible, allowing individuals with limited development experience to engage. With user-friendly graphical interfaces, users can easily create, execute, and sustain scripts, lowering the entry barriers.

This shift reflects an increase in testing capabilities for companies, not reliant on specialized developers, strengthening product cycles and expanding coverage. Business owners can anticipate more consistent, high-quality product releases due to this improved capability.

Integration of Continuous Testing

Adopting continuous testing methodologies reshapes these processes from isolated phases to a cohesive cycle within CI/CD pipelines. As a fundamental aspect of agile and DevOps frameworks, continuous testing swiftly detects and addresses quality issues.

Continuous testing quickens innovation cycles and decreases lead times, vital for fast-paced digital settings. It guarantees smoother operations and quicker market entries, maintaining business competitiveness.

IoT and Wireless Testing Models

The IoT evolution propels companies into advanced sensor technologies and real-time data processing, indispensable for industries like healthcare and telecommunications. Integrated with wireless technology, it allows uninterrupted data gathering, remote oversight, and troubleshooting beyond traditional confines.

IoT-enabled devices empower businesses to customize and foresee maintenance, transitioning towards preventive service models. Wireless solutions remove traditional limitations, offering unmatched mobility and revolutionizing industries reliant on remote diagnostics and flexible production.

Moving from Traditional Views: Data-Driven Approaches

Digital tools for market testing speed up agile planning. Businesses can quickly evaluate pricing theories and marketing tactics, reducing decision-making time. Algorithm-based analytics provide rapid insights into competitor actions and consumer patterns, enabling sharper, quicker strategic revisions.

Companies utilizing data for strategy development frequently uncover unnoticed market alternatives. As digital transformation permeates strategies, businesses gain actionable insights, ensuring they remain prepared and informed.

Potential Across Sectors

Industries are rewriting testing stories with these advancing technologies. Healthcare employs IoT and AI for predictive patient care, transitioning from reactive to managed approaches. In electronics and manufacturing, wireless testing and enhanced analytics mitigate downtime, boosting production efficacy.

The software and SaaS sectors benefit from AI innovations and cloud infrastructures, optimizing deployment to align with consumer demands. HR departments use AI in psychometrics to simplify recruitment, enhancing assessment procedures and improving selection accuracy.

Strategic Advice for Business Executives

The rise of new technologies encourages leaders to implement AI-based tools, reducing labor while improving testing preciseness and release speed. Focusing on cloud solutions and codeless platforms expands configurations, nurturing team collaboration and efficient workload distribution.

Integrating test cycles within Agile frameworks accelerates innovation. Data-driven approaches complemented by regulatory awareness bolster a company's proactive capabilities. Understanding emerging solutions directs strategic growth, both now and in the future.

Business leaders should continually explore AI-driven solutions, forge alliances with IoT providers, and actively participate in industry discussions. These interactions promote benchmarking, avoid pitfalls, and foster forward-thinking innovation. With these technologies, leaders can make robust strategic progress, advancing testing capabilities and establishing lasting standards.

#Technology #Business #Innovation #Testing #AI

Stay ahead with the latest in testing technologies: https://bloggerfy-test.webflow.io/

[tosca-automation-training]

Boost Your Career with Tricentis TOSCA Certification: A Step-by-Step Guide

Introduction

In today’s fast-paced world of software testing, automation has become a crucial component of delivering high-quality applications efficiently. One of the most powerful automation tools in the market is Tricentis TOSCA, which enables businesses to streamline their testing processes and reduce time-to-market. With companies increasingly adopting automation testing, obtaining a Tricentis TOSCA Certification can set you apart in the competitive job market.

If you’re a software tester looking to advance your career, learning Testing Tool TOSCA through structured TOSCA Training Online is a great step. Certification in TOSCA validates your skills and expertise, making you a valuable asset to organizations seeking automation professionals. This blog will guide you through everything you need to know about Tricentis TOSCA Certification, how to get certified, and how it can enhance your career prospects.

What is Tricentis TOSCA?

Overview of TOSCA Automation Tool

Tricentis TOSCA is a continuous testing platform that supports automated, codeless, and AI-driven testing across multiple technologies, including web, mobile, APIs, and enterprise applications. It follows a model-based testing approach, allowing testers to create, execute, and manage test cases efficiently.

Why is TOSCA Popular?

TOSCA stands out among automation tools because of its low-code/no-code functionality, making it accessible to both beginners and experienced testers. Its key features include:

Model-Based Test Automation – Simplifies test creation and maintenance.

Scriptless Test Automation – Reduces manual effort and increases test coverage.

End-to-End Testing – Supports multiple platforms, including SAP, Salesforce, and mobile apps.

AI-Powered Test Execution – Enhances test efficiency with machine learning capabilities.

Risk-Based Testing – Prioritizes test cases based on business risk.

Integration with CI/CD Pipelines – Supports DevOps environments.

TOSCA is widely used in industries such as banking, healthcare, retail, and telecommunications, making it a valuable skill for testers.

Why Get Tricentis TOSCA Certified?

A Tricentis TOSCA Certification validates your skills in using the automation tool, making you a sought-after professional in the testing industry. Here are the key reasons to get certified:

1. High Demand for TOSCA Professionals

With the increasing adoption of test automation, TOSCA experts are in high demand. Companies using Agile and DevOps methodologies require skilled automation testers to optimize their testing strategies.

2. Career Growth and Higher Salary

According to industry reports, certified TOSCA professionals earn higher salaries compared to manual testers. On average, an automation tester with TOSCA skills can earn between $80,000 to $120,000 per year, depending on experience and location.

3. Job Opportunities Across Industries

TOSCA-certified professionals can work in diverse industries, including:

Finance & Banking – Automating financial applications for faster transactions.

Healthcare – Ensuring medical applications meet compliance standards.

Retail & E-commerce – Testing online platforms for seamless user experience.

Telecommunications – Validating complex telecom networks.

4. Competitive Advantage

A TOSCA certification gives you an edge over non-certified candidates when applying for QA Engineer, Test Automation Engineer, and Software Tester roles.

5. Improved Test Automation Skills

Certification enhances your ability to implement automation strategies, improving efficiency and reducing manual testing efforts.

Types of Tricentis TOSCA Certifications

Tricentis offers various certifications, each catering to different levels of expertise. Below are the most recognized certifications:

1. Tricentis Certified Automation Specialist Level 1 & 2

Ideal for beginners.

Covers fundamental and intermediate automation concepts.

Includes hands-on exercises and scenario-based test automation.

2. Tricentis Certified Test Automation Engineer

Advanced certification for professionals with experience in automation.

Covers CI/CD integration, API testing, and advanced scripting techniques.

3. Tricentis Certified Test Architect

For experienced testers looking to design and implement automation frameworks.

Focuses on enterprise-level automation strategies.

4. Tricentis Certified DevOps Practitioner

Targets professionals integrating TOSCA in DevOps pipelines.

Covers continuous testing and deployment strategies.

5. Tricentis Certified Performance Engineer

Focuses on performance testing and optimizing test execution speed.

Each certification provides official recognition from Tricentis, enhancing your credibility as an automation expert.

How to Get Tricentis TOSCA Certified?

To obtain a Tricentis TOSCA Certification, follow these steps:

Step 1: Enroll in TOSCA Training Online

The first step is to complete a TOSCA Training Online course. Many training providers offer self-paced and instructor-led programs that cover:

TOSCA Basics & Installation

Test Case Design & Execution

Modules & Test Data Management

API Testing

CI/CD Pipeline Integration

Step 2: Gain Hands-On Experience

Practicing in a real-world testing environment is essential. You can:

Download Tricentis TOSCA Trial Version to practice test creation.

Work on automation projects in a sandbox environment.

Participate in online TOSCA communities to learn best practices.

Step 3: Register for the Certification Exam

Visit the Tricentis Academy website.

Choose the certification that matches your expertise.

Pay the exam fee (varies based on certification level).

Schedule your exam online.

Step 4: Take the Exam

The certification exam typically includes:

Multiple-choice questions covering theoretical concepts.

Practical assessments where you automate real-world scenarios using TOSCA.

Step 5: Get Certified and Apply Your Skills

After passing the exam, you will receive an official Tricentis certification. You can now showcase your certification on LinkedIn, resumes, and job applications to attract employers.

Real-World Applications of TOSCA Automation

To understand the impact of TOSCA, let’s explore some real-world use cases:

1. Banking Sector

A leading global bank implemented TOSCA to automate end-to-end transactions, reducing test execution time by 60% and minimizing human errors.

2. Healthcare Industry

A healthcare provider used TOSCA for regression testing of electronic health records (EHR), ensuring compliance with HIPAA regulations.

3. Retail & E-commerce

An e-commerce giant integrated TOSCA into its CI/CD pipeline, enabling faster deployments with automated checkout and payment process testing.

These case studies highlight how Testing Tool TOSCA improves efficiency and software quality across different industries.

Tips to Succeed in the TOSCA Certification Exam

To pass the TOSCA certification exam, follow these best practices:

✅ Understand Core Concepts

Learn model-based testing principles.

Understand test case design, execution, and reporting.

✅ Practice Hands-On Scenarios

Create automation scripts for web, mobile, and API testing.

Work on real-world projects to gain practical exposure.

✅ Join Online Communities

Engage with Tricentis forums, LinkedIn groups, and Slack communities.

Discuss challenges and solutions with experienced professionals.

✅ Use Official Study Materials

Access Tricentis Academy resources.

Review sample exam questions and mock tests.

Conclusion

Getting Tricentis TOSCA Certification is a game-changer for professionals aiming to excel in test automation. As businesses continue to adopt automation testing, Testing Tool TOSCA expertise is becoming a must-have skill. Enrolling in TOSCA Training Online equips you with practical knowledge to pass the certification and secure high-paying job opportunities.

Take the next step in your automation journey by enrolling in a TOSCA training program today and unlocking new career opportunities!

Ready to level up your skills? Dive into our ultimate resource: TOSCA Automation Tool: A Complete Guide.

[differenttimemachinecrusade]

Crowdsourced Testing Market Overview: Key Innovations and Future Trends 2032

Crowdsourced Testing Market size was valued at USD 2.6 Billion in 2023 and is expected to reach USD 6.3 Billion by 2032, growing at a CAGR of 10.4% over the forecast period 2024-2032

Crowdsourced Testing Market is rapidly transforming the software quality assurance landscape, offering cost-effective, scalable, and real-world testing solutions. Companies are increasingly leveraging global testers to ensure high-quality digital experiences. The market is experiencing significant growth as demand for faster and more efficient testing methods rises.

Crowdsourced Testing Market continues to gain momentum due to the growing complexity of software applications and the need for extensive testing across multiple devices, platforms, and geographies. Businesses are adopting this model to accelerate testing cycles, enhance test coverage, and obtain diverse user insights, making it a preferred choice for modern software development.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3680 

Market Keyplayers:

Applause (Applause Platform, Applause Codeless Automation)

uTest (uTest Platform, Test Cycle Management)

Testlio (Testlio Platform, Testlio Managed Testing)

Crowdtest (Crowdtest Dashboard, Bug Discovery Service)

Passbrains (Passbrains Platform, Passbrains Marketplace)

Bugcrowd (Bug Bounty Program, Vulnerability Disclosure Program)

Synack (Synack Red Team, Synack Vulnerability Intelligence)

Global App Testing (Functional Testing, Exploratory Testing)

Rainforest QA (Rainforest Automation, Rainforest Tester Network)

Cobalt (Cobalt Pentest Platform, Cobalt Core)

99tests (Crowd Testing Platform, Functional Testing Suite)

Testbirds (Testbirds Nest, Device Cloud)

Digivante (Digivante Platform, Exploratory Testing)

Crowdsprint (Crowdsprint Testing Services, Performance Testing)

test IO (Exploratory Testing, test IO Automation)

QaizenX (Crowdtesting Platform, App Usability Testing)

Mob4Hire (MobTest Platform, Crowdsource Usability Testing)

Crowd4Test (Crowd4Test Platform, Mobile App Testing)

WeAreTesters (Crowdsourced QA, Bug Bounty Services)

Market Trends Driving Growth

1. Rising Demand for Agile and DevOps Testing

Organizations are shifting towards Agile and DevOps methodologies, increasing the need for continuous testing. Crowdsourced testing aligns well with these approaches, enabling rapid feedback and seamless integration into the software development lifecycle.

2. Increased Mobile and IoT Testing Needs

With the proliferation of mobile applications and Internet of Things (IoT) devices, companies require testing across a wide range of real-world environments. Crowdsourced testing provides access to diverse testers, ensuring comprehensive device and network compatibility testing.

3. AI-Driven Test Automation and Crowdsourcing

The integration of Artificial Intelligence (AI) and Machine Learning (ML) is enhancing test automation, making crowdsourced testing more efficient. AI-powered test execution, defect prediction, and automated test case generation are streamlining the process.

4. Cost-Effective and Scalable Testing Solutions

Companies are turning to crowdsourced testing to reduce operational costs while scaling their testing efforts. This approach eliminates the need for expensive in-house testing teams and infrastructure, offering flexibility based on project requirements.

5. Security and Compliance Testing in Focus

With growing concerns around cybersecurity and regulatory compliance, businesses are leveraging ethical hackers and security testers from crowdsourced platforms to identify vulnerabilities and ensure data protection.

Enquiry of This Report: https://www.snsinsider.com/enquiry/3680 

Market Segmentation:

By Component

Platform

Service

By Testing Type

Exploratory Testing                       

Graphical User Interface (GUI) Testing

Usability Testing                

Functional Testing             

Performance Testing                     

Others           

By Application

Mobile Applications                       

Web Applications                

Native Desktop Applications

By Organization Size

Small And Medium Sized Enterprises (SMEs)

Large Size Enterprises

By Industry

BFSI              

Retail            

IT & Telecom                       

Media & Entertainment                

Healthcare               

Market Analysis and Growth Potential

Key drivers include:

Expansion of digital transformation initiatives across industries.

Rising adoption of AI and automation tools in software testing.

Growing demand for real-time feedback from end users.

Increase in remote work and global collaboration enabling better access to global tester networks.

Despite its rapid expansion, the market faces challenges such as test result validation, security concerns, and maintaining consistent tester quality. However, advancements in AI-driven test management and automation are addressing these issues.

Regional Analysis: Global Market Trends

North America

North America dominates the crowdsourced testing market due to the presence of major technology firms, high adoption of DevOps practices, and the increasing demand for digital transformation. The U.S. leads the region with strong investments in AI-driven testing solutions.

Europe

Europe is witnessing significant growth in crowdsourced testing, driven by regulatory requirements such as GDPR and the need for secure, compliant software solutions. The increasing adoption of mobile apps and fintech solutions is further boosting demand.

Asia-Pacific

Asia-Pacific is the fastest-growing region, fueled by the rise of e-commerce, mobile banking, and smart devices. Countries like India and China are becoming key players due to their vast talent pool of skilled testers and growing IT industry.

Rest of the World

Latin America and the Middle East are also seeing increased adoption, particularly in sectors like healthcare, fintech, and telecom, where quality assurance is critical for business success.

Future Prospects: Innovations and Market Expansion

1. AI-Powered Crowdsourced Testing

AI and ML will continue to enhance crowdsourced testing by automating test case selection, bug detection, and predictive analytics for faster and more accurate testing outcomes.

2. Blockchain for Secure Testing

The use of blockchain in crowdsourced testing is expected to improve data security, authentication of testers, and transparency in test result verification.

3. Growth of Niche and Specialized Testing

With increasing cybersecurity threats and regulatory requirements, demand for specialized testing services such as penetration testing, accessibility testing, and compliance testing will rise.

4. Expansion into Emerging Markets

The market will continue expanding into emerging economies, offering businesses access to a diverse pool of global testers and reducing costs while improving software quality.

5. Integration with Cloud-Based Testing Platforms

Cloud-based testing will further enhance the scalability and accessibility of crowdsourced testing, allowing seamless remote collaboration across different geographical locations.

Access Complete Report: https://www.snsinsider.com/reports/crowdsourced-testing-market-3680 

Conclusion

The crowdsourced testing market is experiencing rapid growth, driven by the increasing demand for scalable, cost-effective, and real-world software testing solutions. As organizations continue to embrace digital transformation, AI-powered automation, and global tester networks, the market is set for significant expansion. With continuous innovations in testing methodologies, security measures, and AI-driven analytics, crowdsourced testing will play a pivotal role in shaping the future of software quality assurance.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[ideyalabsllp]

Are You Ready for the AI-Powered Future? QA Consulting in 2025

QA Consulting in 2025: Are You Ready for the AI-Powered Future?

The landscape of software testing is evolving at an unprecedented pace. With artificial intelligence (AI), cloud-based testing, and automation taking center stage, traditional quality assurance (QA) methods are becoming obsolete. QA consulting companies are at the forefront of this transformation, helping businesses adapt and optimize their testing strategies for the future. As we approach 2025, it is crucial for QA managers, decision-makers, and project managers to assess whether their QA strategies are equipped to handle the challenges of an AI-driven future.

The Role of QA Consulting Companies in the AI Era

1. AI-Driven Test Automation

AI-powered test automation is revolutionizing how software is tested. Traditional testing methods, which relied heavily on manual efforts, are giving way to intelligent automation frameworks. QA consulting companies are integrating AI-based solutions to enhance test coverage, reduce human error, and speed up release cycles.

2. Predictive Analytics for Better Decision-Making

By leveraging machine learning algorithms, QA consulting companies can predict potential software failures before they occur. This predictive approach helps organizations preemptively address quality issues, leading to more stable and reliable software products.

3. Cloud-Based Testing for Scalability

Cloud technology is reshaping software testing by offering scalable and flexible environments. QA consulting companies provide expertise in implementing cloud-based testing solutions that enable businesses to perform large-scale, distributed testing without infrastructure limitations.

Key Trends Shaping Software Testing in 2025

AI-Powered Test Case Generation

AI-driven tools are now capable of generating test cases automatically based on historical data and user interactions. This reduces the burden on QA teams while improving efficiency and accuracy.

Shift-Left Testing Approach

The shift-left methodology emphasizes testing early in the development lifecycle, preventing defects rather than detecting them later. QA consulting companies are guiding organizations in implementing this proactive approach, ensuring software quality from the outset.

Codeless Test Automation

With the rise of no-code and low-code platforms, test automation is becoming more accessible. QA consulting companies are helping businesses adopt codeless automation tools, enabling non-technical testers to contribute to software quality assurance.

The Business Impact of AI-Driven QA Consulting

Cost Efficiency and Faster Time-to-Market

By leveraging AI and automation, QA consulting companies help businesses cut down testing costs and accelerate software delivery. Automated test execution reduces manual effort, allowing teams to focus on strategic testing initiatives.

Enhanced Software Security

As cyber threats become more sophisticated, security testing is paramount. QA consulting companies incorporate AI-driven security testing to detect vulnerabilities in real-time, ensuring software integrity and user trust.

Seamless Integration with DevOps

AI-powered QA solutions seamlessly integrate with DevOps pipelines, enabling continuous testing and delivery. This ensures that quality is maintained throughout the software development lifecycle without causing delays.

Are You Ready for the AI-Powered Future?

The future of software testing is intelligent, predictive, and automated. QA consulting companies play a crucial role in helping organizations navigate this evolving landscape. By embracing AI-driven testing solutions, predictive analytics, and cloud-based strategies, businesses can stay ahead of the curve and deliver high-quality software products.

Conclusion & Call to Action

If your QA strategy is still relying on outdated methods, now is the time to make the shift. QA consulting companies provide the expertise needed to future-proof your testing processes and ensure long-term success in an AI-powered world.

Are you ready to elevate your software quality with AI-driven QA consulting? Contact us today to explore cutting-edge solutions tailored to your business needs.

[tonymattblog]

Codeless Test Automation: Revolutionizing Software Testing in 2025

Manual testing consumes time and resources. Automation speeds up the process, ensuring more accuracy. Traditional coding-based automation also has its challenges. These include long learning curves and maintenance issues.

Introducing Codeless Test Automation

Codeless test automation simplifies these struggles. It eliminates manual errors and reduces the skill requirement gap. With drag-and-drop features, quality assurance becomes quicker. Even non-technical people can create automated tests.

ideyaLabs Leads the Way

ideyaLabs excels in providing advanced codeless test automation solutions. Our products deliver accuracy, efficiency, and simplicity. Enterprises benefit greatly by reducing time-to-market. Save costs and improve software quality with our solutions.

How Codeless Test Automation Works

Codeless tools offer a user-friendly interface. These tools connect elements and interactions seamlessly. Visual workflow creation becomes straightforward. Our solutions support various platforms and applications. This versatility ensures comprehensive testing.

Benefits of Codeless Automation

Reduced Learning Time: No need for extensive coding knowledge. Teams can learn and implement faster.

Quick Set-up: Start automating tests much quicker.

High Accuracy: Minimize human error and enhance test precision.

Cost-effectiveness: Lower implementation and maintenance costs.

ideyaLabs' Exceptional Features

Ease of Use: Intuitive design for users across skill levels.

Scalability: Handle projects of any size. Adjust quickly to changing requirements.

Custom Reporting: Detailed insights into your tests. Make data-driven decisions.

Applications Across Industries

Codeless test automation benefits numerous industries. E-commerce, banking, healthcare, and more. The flexibility of tools allows them to cater to specific needs. Businesses can ensure seamless user experiences.

E-commerce Benefits

Faster Deployment: Automate tests for continuous integration. Updates and deployments become seamless.

User Experience: Ensure every feature works across devices and browsers.

Security: Identify and correct vulnerabilities faster.

Banking and Finance Advantages

Regulatory Compliance: Automate compliance testing easily.

Data Integrity: Ensure all transactions are correct and secure.

User Authentication: Verify multi-layer security features efficiently.

Healthcare Software Quality

Patient Data Security: Test systems for robust data protection.

Interoperability: Ensure various systems work in tandem.

Emergency Protocols: Validate critical system features without errors.

Emerging Trends in Codeless Test Automation

Artificial Intelligence: Integration of AI for smarter testing.

Machine Learning: Predictive analysis and adaptive testing models.

Cloud Testing: Execute tests on cloud-based platforms for extensive coverage.

ideyaLabs' Future Plans

Innovations: Continuously delivering the latest technology.

Customer Satisfaction: Focused on delivering top-notch client experiences.

Training Programs: Enhancing team skills for better adoption.

Why Choose ideyaLabs

Expert Team: Professionals with in-depth industry knowledge.

Proven Track Record: Successful implementations across diverse sectors.

Support and Maintenance: Reliable support structure for continual improvement.

Comparing Codeless Tools to Traditional Methods

Development Time: Traditional methods require more time to set up. Codeless tools expedite the process.

Skill Requirements: Traditional methods need specialized knowledge. Codeless tools are accessible to all team members.

Flexibility: Traditional tools might be rigid. Codeless tools adapt to changing needs easily.

Test Automation Best Practices

Start Simple: Automate repetitive, simple tasks first.

Regular Updates: Keep your test scenarios up-to-date with new features.

Monitor Results: Regularly check reports and fine-tune where necessary.

Collaboration: Encourage cross-team involvement in testing.

Case Studies and Success Stories

Many businesses have transformed with ideyaLabs’ solutions. From startups to large enterprises. They’ve seen a marked improvement in software quality and delivery times. Read about their journey on our blog and discover the difference.

Contact ideyaLabs for a Demo

Experience the power of codeless test automation first-hand. Contact ideyaLabs for a personalized demo. Let us show you how our solutions can revolutionize your testing processes.

Stay Updated with ideyaLabs

Join our newsletter for the latest in codeless test automation. Get insights, industry trends, and expert tips right in your inbox. Stay ahead of the curve with ideyaLabs.

Conclusion

Codeless test automation is the future of software testing. Reduce errors, save time, and streamline your processes with ideyaLabs. Explore smarter, more efficient testing solutions for your business. Connect with ideyaLabs today. Transform your testing approach and experience unparalleled benefits.

[yethiconsulting]

A Beginner’s Guide to Codeless Testing Platforms

Codeless testing platforms are transforming the landscape of software testing by making automation accessible to testers without deep coding knowledge. Here’s a beginner’s guide to understanding and getting started with these platforms:

What Are Codeless Testing Platforms?: These are tools that allow users to create automated tests using visual interfaces and drag-and-drop functionality instead of writing code. They aim to simplify the testing process, enabling faster test creation and easier maintenance.

Key Features: Visual Test Design: Use flowcharts, record-and-playback features, and user-friendly GUIs to design tests. AI and ML Integration: Advanced codeless platforms leverage AI and machine learning to enhance test creation, maintenance, and execution, providing smart test recommendations and self-healing capabilities. Cross-Platform Support: Many codeless automation tools support testing across web, mobile, API, and desktop applications, ensuring comprehensive test coverage. Integration with CI/CD: Seamless integration with continuous integration and continuous deployment (CI/CD) pipelines for continuous testing and rapid feedback.

Benefits: Accessibility: Opens up automation to non-developers, allowing manual testers and business analysts to contribute to the automation effort. Speed: Accelerates test creation and execution, reducing the time to market. Maintenance: Simplifies test maintenance with AI-driven self-healing capabilities, reducing the effort needed to update tests when the application changes.

Popular Codeless Testing Platforms: Katalon Studio: User-friendly and versatile, supporting various types of testing. Testim: AI-powered platform with smart locators and self-healing features. Leapwork: Visual flowchart-based approach to automation. Ranorex Studio: Comprehensive tool for web, mobile, and desktop applications. Perfecto: Cloud-based platform with extensive device and browser support.

Getting Started: Evaluate Your Needs: Understand your testing requirements and select a platform that best fits your needs. Learn the Tool: Utilize tutorials, documentation, and community forums to familiarize yourself with the chosen platform. Start Small: Begin by automating simple test cases and gradually expand to more complex scenarios. Integrate with Existing Workflows: Ensure the tool integrates with your current CI/CD pipeline and test management systems for a seamless workflow.

Codeless testing platforms are a game-changer for teams aiming to scale their automation efforts without the steep learning curve of traditional coding-based tools. By leveraging these platforms, you can enhance your testing efficiency, reduce time-to-market, and ensure higher software quality.

[fireflink1]

What is Codeless Testing?

Codeless testing refers to automated testing tools in software testing that does not need the tester to write any code. When there were few codeless testing solutions available, the terms 'Record and Playback' and 'Codeless testing' were used interchangeably. However, there are several automated testing products on the market now that provide genuine codeless testing.

Codeless testing allows test cases to be produced even when the user has no prior knowledge of coding or programming languages. As a result, the user learns quickly and begins building test cases.

Because these test cases are generated without using any code, they are accessible and intelligible to those who do not know how to program. As a result, non-technical project stakeholders may readily evaluate these test cases.

[businessindustry]

Automated Testing Software Market Global Industry Analysis by Trends - 2032

The Reports and Insights, a leading market research company, has recently releases report titled “Automated Testing Software Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2024-2032.” The study provides a detailed analysis of the industry, including the global Automated Testing Software Market share, size, trends, and growth forecasts. The report also includes competitor and regional analysis and highlights the latest advancements in the market.

Report Highlights:

How big is the Automated Testing Software Market?

The automated testing software market size reached US$ 5.1 Billion in 2023. Looking forward, Reports and Insights expects the market to reach US$ 10.9 Billion by 2032, exhibiting a growth rate (CAGR) of 8.8% during 2024-2032.

What are Automated Testing Software?                                                                                                                                                                            

Automated testing software comprises tools and frameworks created to automate the running of tests for software applications. It enables developers and quality assurance teams to efficiently test software functionality, performance, and security by executing pre-scripted tests. This software can mimic user interactions, detect bugs and errors, and provide comprehensive reports on test outcomes. Its use enhances testing speed and accuracy, resulting in quicker development cycles and improved software quality.

Request for a sample copy with detail analysis: https://www.reportsandinsights.com/sample-request/1735

What are the growth prospects and trends in the Automated Testing Software industry?

The automated testing software market growth is driven by various factors and trends. The market for automated testing software is experiencing rapid expansion within the software industry, propelled by the widespread adoption of agile and DevOps methodologies. This market encompasses a range of tools and platforms aimed at automating testing processes, enhancing software quality, and expediting time-to-market. Key drivers of market growth include the increasing requirement for continuous testing, the imperative to cut down testing expenses and time, and the escalating complexity of software applications. Additionally, the market is influenced by the escalating trend of digital transformation across industries, which necessitates dependable testing solutions to ensure software applications' reliability and performance. Hence, all these factors contribute to automated testing software market growth.

What is included in market segmentation?

The report has segmented the market into the following categories:

By Type of Testing:

Functional Testing

Performance Testing

Security Testing

Compatibility Testing

Usability Testing

Others

By Testing Tool:

Test Management Tools

Functional Testing Tools

Performance Testing Tools

Security Testing Tools

Codeless Testing Tools

Others

By Deployment Mode:

On-Premises

Cloud-based

By Organization Size:

Small and Medium-sized Enterprises (SMEs

Large Enterprises

By End-User Industry:

IT and Telecom

BFSI (Banking, Financial Services, and Insurance)

Healthcare

Retail

Manufacturing

Government and Public Sector

Media and Entertainment

Others

Segmentation By Region:

North America:

United States

Canada

Europe:

Germany

The U.K.

France

Spain

Italy

Russia

Poland

BENELUX

NORDIC

Rest of Europe

Asia Pacific:

China

Japan

India

South Korea

ASEAN

Australia & New Zealand

Rest of Asia Pacific

Latin America:

Brazil

Mexico

Argentina

Middle East & Africa:

Saudi Arabia

South Africa

United Arab Emirates

Israel

Who are the key players operating in the industry?

The report covers the major market players including:

IBM Corporation

SmartBear Software

Tricentis

Ranorex GmbH

TestComplete

Selenium

Appium

Sauce Labs Inc.

Parasoft Corporation

Eggplant (formerly TestPlant)

Cigniti Technologies

QualiTest Group

Broadcom Inc. (formerly CA Technologies)

Hewlett Packard Enterprise (HPE)

View Full Report: https://www.reportsandinsights.com/report/Automated Testing Software-market

If you require any specific information that is not covered currently within the scope of the report, we will provide the same as a part of the customization.

About Us:

Reports and Insights consistently mееt international benchmarks in the market research industry and maintain a kееn focus on providing only the highest quality of reports and analysis outlooks across markets, industries, domains, sectors, and verticals. We have bееn catering to varying market nееds and do not compromise on quality and research efforts in our objective to deliver only the very best to our clients globally.

Our offerings include comprehensive market intelligence in the form of research reports, production cost reports, feasibility studies, and consulting services. Our team, which includes experienced researchers and analysts from various industries, is dedicated to providing high-quality data and insights to our clientele, ranging from small and medium businesses to Fortune 1000 corporations.

Contact Us:

Reports and Insights Business Research Pvt. Ltd. 1820 Avenue M, Brooklyn, NY, 11230, United States Contact No: +1-(347)-748-1518 Email: sales@reportsandinsights.com Website: https://www.reportsandinsights.com/ Follow us on LinkedIn: https://www.linkedin.com/company/report-and-insights/ Follow us on twitter: https://twitter.com/ReportsandInsi1

[curiousmind-world]

Introduction

In our fast-paced world, time is a precious commodity. Whether you’re a student, professional, or entrepreneur, finding ways to streamline your daily tasks can significantly boost productivity. Enter ChatGPT, an AI language model that can assist you in automating various aspects of your work. In this article, we’ll explore nine ChatGPT prompts that can revolutionize the way you tackle your busy schedule.

1. Calendar Management

ChatGPT prompts: “Schedule a meeting for next Tuesday at 2 PM.”

ChatGPT can interact with your calendar application, whether it’s Google Calendar, Outlook, or any other platform. By providing clear instructions, you can effortlessly set up appointments, reminders, and events. Imagine the time saved when ChatGPT handles your scheduling!

2. Email Drafting

ChatGPT prompts: “Compose an email to my team about the upcoming project deadline.”

ChatGPT can draft professional emails, complete with subject lines, body text, and even attachments. Simply describe the purpose of the email, and let ChatGPT do the rest. It’s like having a virtual assistant dedicated to your inbox.

3. Code Generation

ChatGPT prompts: “Write a Python function that calculates Fibonacci numbers.”

Whether you’re a programmer or a student, ChatGPT can generate code snippets for various programming languages. From simple functions to complex algorithms, ChatGPT can save you hours of coding time.

4. Content Summarisation

ChatGPT prompts: “Summarise this 10-page research paper on climate change.”

Reading lengthy documents can be daunting. ChatGPT can analyse and condense large texts into concise summaries, allowing you to grasp essential information quickly.

5. Social Media Posts

ChatGPT prompts: “Create a tweet announcing our new product launch.”

Crafting engaging social media content is essential for businesses. ChatGPT can generate catchy posts for platforms like Twitter, LinkedIn, or Instagram, ensuring your message reaches your audience effectively.

6. Language Translation

ChatGPT prompts: “Translate this paragraph from English to Spanish.”

Whether you’re communicating with international clients or learning a new language, ChatGPT can provide accurate translations. Say goodbye to language barriers!

7. Data Analysis

ChatGPT prompts: “Analyse this sales dataset and identify trends.”

ChatGPT can process data, create visualisations, and extract insights. Whether it’s sales figures, customer behavior, or market trends, ChatGPT can help you make informed decisions.

8. Creative Writing

ChatGPT prompts: “Write a short story about time travel.”

Beyond practical tasks, ChatGPT can unleash creativity. From poems to fictional narratives, ChatGPT can be your muse when inspiration strikes.

9. Personalised Recommendations

ChatGPT prompts: “Suggest a book based on my interests in science fiction.”

ChatGPT can recommend books, movies, restaurants, or travel destinations tailored to your preferences. It’s like having a knowledgeable friend who knows your tastes.

Conclusion: 

These nine ChatGPT prompts demonstrate its versatility. By integrating ChatGPT into your workflow, you can automate repetitive tasks, enhance communication, and free up valuable time. So, next time you’re swamped with work, turn to ChatGPT—it’s like having a digital assistant that works tirelessly to simplify your life.

In addition to ChatGPT, there are several other powerful AI tools designed to automate various tasks. Let’s explore some of them:

ACCELQ: A codeless AI-powered tool that seamlessly tests software across multiple channels (mobile, desktop, etc.). It offers continuous test automation and minimizes maintenance efforts1. You can find more information on their website.

Katalon: An AI tool for test automation that provides a complete solution for testing mobile applications and websites. It features a robust object repository, multi-language support, and efficient test results1. Check out Katalon’s website for details.

Selenium: An open-source AI tool for automating web and application testing. It’s commonly used for regression testing, functional testing, and performance testing1. You can explore more about Selenium on their official website.

Appium: Specifically designed for mobile app automation, Appium supports both Android and iOS platforms. It’s an excellent choice for mobile testing1.

Cypress: Known for its fast execution and real-time reloading, Cypress is an end-to-end testing framework for web applications. It provides a great developer experience1.

Parasoft: Offers comprehensive testing solutions, including static analysis, unit testing, and API testing. It’s widely used in the industry1.

Cucumber: A behavior-driven development (BDD) tool that allows collaboration between developers, testers, and non-technical stakeholders. It uses plain text specifications for test cases1.

TestNG: A testing framework inspired by JUnit and NUnit, TestNG supports parallel execution, data-driven testing, and test configuration flexibility1.

LambdaTest: A cloud-based cross-browser testing platform that allows you to test your web applications across various browsers and operating systems1.

Robot Framework: An open-source test automation framework that uses a keyword-driven approach. It’s highly extensible and supports both web and mobile testing1.

TestCraft: A codeless automation platform that integrates with popular tools like Selenium and Appium. It’s suitable for both manual and automated testing1.

Watir: A Ruby library for automating web browsers, Watir provides a simple and expressive syntax for testing web applications1.

Remember that each tool has its strengths and weaknesses, so choose the one that best fits your specific needs. Whether it’s testing, content creation, or workflow automation, these AI tools can significantly enhance your productivity and efficiency.

[jcmarchi]

Codeless Testing Tools For 2024 - Technology Org

New Post has been published on https://thedigitalinsider.com/codeless-testing-tools-for-2024-technology-org/

Codeless Testing Tools For 2024 - Technology Org

Codeless automation testing tools have emerged as a significant solution. These tools offer a user-friendly interface for efficient test creation without coding. They enable non-technical users to seamlessly automate testing processes. In this blog, we will explore the top codeless testing tools that will shape automation testing in 2024.

Software developer’s workplace – illustrative photo. Image credit: Farzad via Unsplash, free license

Codeless Testing Tool Overview

Codeless testing involves producing and executing tests without the coders having to write lengthy codes. Instead, designers use drag-and-drop functionalities, graphical interfaces, and pre-built components to design and execute tests.

This technique applies a user-oriented approach aimed at testers with no programming or low programming skills to achieve test creation, management, and execution tasks easily. In codeless automation, speed is enhanced, productivity is increased, and teams can take products to market faster.

Popular Codeless Testing Tools in 2024

Let us see some of the emerging codeless testing tools in 2024

Katalon Studio

Katalon Studio stands out for its adaptability in automation testing on Desktop, Mobile, Web, and APIs. It has a simple user interface that uses drag-and-drop commands and record-and-playback functionality.

Katalon simplifies automation testing while providing features like built-in test-case libraries, object repositories, and extensive reporting capabilities. It integrates with popular Continuous Integration tools and supports native plugins to enhance workflow efficiency. Katalon’s ability to detect object modifications and adapt tests ensures test stability. It also supports various integrations such as Issue Management and Test Management, further improving the automation testing process.

TestCraft

TestCraft focuses on end-to-end (E2E) automation testing for continuous and regression testing. TestCraft allows QA teams to accelerate their automation testing efforts efficiently and precisely.

TestCraft has agility in generating test scenarios even before the application is fully developed to start testing early in the development lifecycle. The tool’s support for multiple data sets and parallel implementation further enhances testing flexibility and coverage.

TestCraft’s unique approach to automation testing includes pre-coded test scripts with customizable inputs to suit specific testing requirements.  TestCraft allows testers to reuse flows and elements across different test scenarios. It also offers smart analysis and reporting capabilities for test execution results and facilitating informed decision-making.

LEAPWORK

LEAPWORK is a cloud-based automation testing tool known for its versatility in testing various types of applications. It allows agile project teams to implement automated QA testing procedures to establish faster release cycles and improve product quality.

It offers various features aimed at enhancing QA teams’ productivity and efficiency. It can reuse automated flows across different test cases to optimize cloud testing maintenance efforts and ensure consistency in automation testing practices. It supports cross-browser testing, parallel runs, and application functionality validation across different environments.

CloudQA

CloudQA is a cloud-based automated testing platform that improves test management and execution across multiple browsers simultaneously. It offers an integrated report tool for rapidly generating and scheduling regression test suites.

This codeless automation testing tool allows users with the same level of functionality as Selenium without requiring advanced programming expertise. Recorded tests are organized into manageable modules and presented in easily understandable formats.

CloudQA is repurposed for load testing, regression testing, and synthetic monitoring.  Key features such as smart Record & Playback tests with screenshots after each step, support for data-driven tests, and integration with third-party tools like Slack, Asana, GitHub, and JIRA enhance the testing experience to detect and manage bugs effectively.

Ranorex Studio

The main feature of the Ranorex Studio is that it can record the scriptless automation of mobile, web, and desktop applications using the powerful object recognition mechanism. It provides a user-friendly interface and complete functions to improve the automated testing process.

It supports standard programming languages such as C# and VB.NET to create automation scripts using familiar syntaxes. Testers can easily automate regression testing by utilizing drag-and-drop UI objects, capture-and-replay functionality, and code modules.

Ranorex Studio can integrate with Selenium WebDriver to enable cross-browser testing on a Selenium Grid. The tool offers advanced features such as RanoreXPath technology for recognizing UI components, a spy engine for tracking UI descriptions, and image comparison capabilities for visual validation.

Ranorex Studio further enhances collaboration and productivity by integrating various DevOps and project management tools. This integration ecosystem enables teams to build a complete automated testing toolchain for test execution and result management.

TestProject

TestProject is a free codeless testing tool for QA teams to improve the creation and execution of automated tests. TestProject simplifies building and maintaining automated test cases, eliminating the need for programming expertise.

TestProject can design and manage test cases using the tool’s user-friendly interface. This flexibility extends to the types of applications tested, as TestProject supports testing for web applications, mobile apps, and APIs to meet diverse testing needs.

Through its test reporting feature, testers can access the required information to locate and solve any problems discovered during the testing quickly. It permits team members to work collaboratively by making the transfer of test results available and establishing transparency and operating efficiency.

TestProject enables QA teams to automate testing and detect issues early in the development cycle to release cycles faster and improve product quality.

Testim

Testim can facilitate quick and straightforward creation and execution of automated tests by QA teams. It has a user-friendly drag-and-drop interface and AI-powered testing capabilities to build and maintain automated test cases without the need for programming knowledge.

Testim AI-powered testing capabilities significantly improve the test process by automatically creating test cases and identifying flaws. This automation saves time and enhances the efficiency and effectiveness of the testing process to deliver high-quality software.

Testim supports testing for software components like APIs, web applications, and mobile applications. This ensures comprehensive testing coverage to identify and address issues across different software layers. Testim’s automated testing approach minimizes the risk of human errors and ensures that software products undergo thorough testing.

Selenium IDE

Selenium IDE has the power of Selenium for automate web applications without coding. Selenium IDE involves straightforwardness in the creation and execution of automated tests, thus making it the best option for testers regardless of their expertise levels.

Its ability to run specific tests or entire test suites allows testers to manage and execute their testing scenarios efficiently. It also provides debugging capabilities, including setting breakpoints and pausing on exceptions directly from the IDE.

Selenium IDE is cross-browser testing to ensure its compatibility with the Selenium IDE runner, which enables testing across various browsers and operating systems. They offer a set of commands for creating loops, inserting waits, and executing asserts.

Its support for control flow structures, such as if-else statements, enables testers to implement conditional testing directly from the IDE to simplify test logic and enhance test coverage. The tool also supports test reuse through the run command to incorporate specific test cases into multiple test suites.

Selenium IDE further improves the automation testing process by storing test scripts as JSON files, enabling easy comparison, modification, and examination of tests. This simplifies test maintenance and collaboration among team members to ensure efficient test management and execution.

ACCELQ

ACCELQ is an AI-powered codeless automated testing tool that offers a solution for automating desktops, web applications, mainframes, and other applications with minimal effort and time.

ACCELQ distinguishes itself with its self-healing capabilities, which make test automation efficient. Its user-friendly interface enables the development of automated tests that integrate with existing DevOps and quality toolchains for enhanced collaboration and workflow efficiency.

ACCELQ’s features include scalability and enterprise-grade security, making it a safe and reliable choice for organizations of all sizes. It offers automation of both User Interface and API testing, ensuring comprehensive test coverage across different application layers.

It can create app blueprints to facilitate visual test design, while its Embedded Frameworks enable speedy development and minimal maintenance overhead. Features like Projecting and Path Analysis generate test scenarios, maximizing test coverage and effectiveness. It is also continuously integration-ready to incorporate automated testing into its development pipelines.

Mabl

Mabl is explicitly designed for CI/CD environments. It integrates automated end-to-end (E2E) tests into the Software Development Life Cycle (SDLC). It utilizes extensive web browser automation coverage, including Selenium WebDriver, IDE, and other automation testing tools.

It can enable parallel testing across all browsers, eliminating barriers related to visual design, user experience tests, and performance tests. By managing everything in the cloud, this significantly reduces the physical effort, hosted infrastructure, and test case maintenance associated with automation testing.

Mabl’s advanced User Interface and design approach make it intuitive and easy to use. The Mabl Trainer browser plugins allow testers to set up functional testing against applications in minutes.

The tool also offers actionable insights that can be exported to various platforms, enabling teams to make informed decisions and prioritize issues effectively. Mabl’s auto-healing feature ensures that testing remains stable and consistent, further enhancing test results’ reliability.

Sikuli

Sikuli utilizes image recognition techniques to automate Graphical User Interface (GUI) tests, seamlessly identifying and interacting with GUI components. It proves beneficial when working, extending its capabilities to automate Java applets and Flash objects, while IDE scripts further enhance its functionalities.

Sikuli requires a visible app GUI during runtime. This means it cannot execute and maintain multiple scripts concurrently when the GUI undergoes frequent changes.

Key features of Sikuli support multiple platforms such as Linux, Mac, and Windows, making it highly versatile and accessible. The tool allows testers to record images at the pixel level for precise UI verification.

Sikuli enables automation testing on various devices and emulators, facilitating comprehensive testing across different environments. It integrates with Selenium to automate desktop applications, enhancing the effectiveness of test automation efforts.

Codeless testing tools offer QA teams the opportunity to enhance the accuracy and reliability of their testing procedures. Automated tests, which are less susceptible to human error than manual tests, contribute to ensuring thorough testing and high-quality software products.

LambdaTest, an AI-powered test execution and orchestration platform, presents an extensive online device farm comprising over 3000 real devices and operating systems, facilitating scalable automation testing. Moreover, it seamlessly integrates with leading codeless testing tools like Katalon Studio, Ranorex, and QMetry, streamlining the testing process.

Conclusion

In conclusion, with codeless testing tools in 2024, QA teams can optimize their testing processes and expedite time to market without compromising quality. From AI-powered platforms to image recognition tools, each offering brings unique advantages to achieve resilient test automation. Integrating automation testing tools into CI/CD pipelines ensures continuous feedback loops and facilitates agile development practices. As we adopt these advancements, automation testing is essential in driving reliable, scalable, high-quality software solutions.

[webomates]

The Power of Low Code/No Code Test Automation

If you have been reading my blogs and bytes of wisdom, which I occasionally post on LinkedIn, you would know how much I enjoy using a good analogy. So here we go — in Greek, today.

In the epic quest of software development, the teams navigate treacherous terrain riddled with unknown, and sometimes known, bugs and errors. With Test Automation as their trusted ally, they brave the coding complexities to ensure the quality of their products.

But are they making the right choices?

1. Need for Programming Skills: Open source platforms demand a higher level of programming proficiency.

2. Time-Consuming: Creating and maintaining tests can be time-consuming, especially for complex applications undergoing frequent changes.

3. Flaky Tests: Instabilities in tests due to synchronization issues, dynamic content, or environmental variations.

4. Resource Intensive: Dedicated resources may be needed for script development, leading to higher costs.

5. Scalability Challenges: Scaling test automation with open source tools becomes challenging as application functionalities increase in complexity.

6. Limited Reusability of Tests: Test scripts in open-source tools may lack reusability.

To overcome these challenges, the shift to Low-Code/No-Code (LCNC) platforms proves to be the right choice.

Implementing LCNC technologies can revolutionize work processes, automating tedious tasks and allowing teams to focus on strategic, high-value work. According to McKinsey, “There’s expected to be a 70% growth in the adoption of low-code/no-code by 2025”.

Let’s see what power these platforms hold to help you navigate the challenges faced during software development and testing.

Power of Low-Code/ No-Code Platforms

1. Shorter Time to Market: Code templates and pre-built features reduce development time, resulting in a quicker time to market.

2. Reduced Learning Curve: Minimal coding experience is required, enabling easy use of visual interfaces and pre-built components.

3. Accelerated Test Creation and Maintenance: Drag-and-drop functionality and reusable components speed up the test creation and maintenance process.

4. No more Flaky Tests: LCNC platforms minimize reliance on intricate coding, addressing issues related to dynamic elements and reducing flaky tests.

5. Enhanced Collaboration: Encourages collaboration between business analysts and testers, making development and testing cycles more agile.

6. Reduced Costs: Less dependency on developers for UI tests, allowing testers to contribute to automation and reducing associated costs.

7. Scalability: Handles complex test scenarios and scales according to changing testing process needs.

8. Increased Productivity: Developers can focus on more critical business problems instead of spending hours coding.

9. Reusability: Emphasizes modular designs, allowing for the creation of reusable components and test flows.

The power of LCNC platforms is nothing short of a divine revelation. Businesses are harnessing the power of these platforms to elevate their testing rituals and hasten the delivery of their digital progeny. Yet, in this quest for excellence, it is prudent to acknowledge that specialized guardians are still needed to navigate the labyrinths of software development and perform feats beyond the reach of automated tools.

Much like Athena, the goddess of wisdom, Webomates CQ provides codeless test automation services, seamlessly integrating with various automation frameworks. It bestows the ability to modify test cases effortlessly, ensuring a harmonious coexistence between mortal testers and the divine automation realm.

If you want to discover how codeless testing can help you in achieving excellence, reach out to us at info@webomates.com.

You can read the full blog here

[lovelypol]

🌟 Embrace the Future: Navigating the Codeless Testing Revolution! 💻🚀

Hey Tech Enthusiasts! Let's explore the cutting-edge world of Codeless Testing and how it's reshaping the software testing landscape! 🔍🌐

Gone are the days of complex coding and cumbersome test scripts. With Codeless Testing, you can achieve faster releases, improve product quality, and streamline your testing process without writing a single line of code! 📈✨

🚀 Accelerate Releases: Say goodbye to lengthy test cycles and hello to rapid deployment! With Codeless Testing, you can speed up your release cycles and get your products to market faster than ever before! ⏩💥

🔍 Enhance Collaboration: Break down silos and foster collaboration across teams with intuitive, visual testing tools that empower everyone to contribute to the testing process, regardless of technical expertise! 🤝📊

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Improving ROI with Script less Test Automation

For the last few years, test automation has been used to develop, specify, and run tests using an automation framework. However, not every firm has access to engineers who can quickly construct these automated tests. Furthermore, when applications and products develop, there is a significant maintenance expense, resulting in poorer automation ROI and coverage.

This is where scriptless test automation comes into the picture. Businesses today may utilize Scriptless Test Automation to automate test cases without having to worry about the complexities of coding. It speeds up the time to learn and build code, resulting in a shorter time to market, a greater return on investment, and increased coverage with little maintenance.

In this article, we will discuss scriptless testing in-depth, how scriptless test automation benefits your organization and how you can utilize scriptless testing tools to streamline software development.

What is Scriptless Test Automation?

Scriptless or codeless testing, as the name implies, is a way of automating tests by using tools rather than writing test scripts. The tools are often built on test automation frameworks such as Selenium.

A scriptless testing tool can record a tester’s activities as they navigate through features on application screens. By collecting these actions, the tool will generate the same test steps for which one can typically create a test script.

As a result, scriptless testing is restricted to interacting with UI components. A tester, on the other hand, may validate end-to-end testing scenarios and guarantee crucial components are error-free.

Scriptless testing is constrained by the same constraints as the test framework it employs. As a result, it may not test things like captcha, barcodes, and so on.

Scriptless Test Automation Workflow:

Scriptless testing is accomplished through the use of record and playback. Simply said, it implies recording the activities on screen and replaying them as a test.

Consider the following e-commerce workflow:

Register or Login >> Search the Product Catalog >> Adding Item(s) to Cart >> Add Shipping and Billing Information >> Checkout & Payment >> Create a Receipt and Order Details

This complete scenario includes several features, data inputs, and third-party connectors. As a result, numerous things might go wrong as features are regularly upgraded. However, one can simply explore as if they were a user, record tests, and automate them.

Cross-browser and parallel testing are also features of several scriptless testing solutions. That is, tests can be run on many browsers at the same time.

General Features

● Traditionally, Automated Testing necessitates complicated script creation, which frequently necessitates strong engineering skill sets. Furthermore, these test scripts are “brittle,” meaning they break as the app changes or as the app runs on multiple devices.

● Test scripts may be developed in a simple “no-code” fashion.

● This is why scriptless automation tools are appealing. They provide enterprises with a low-complexity and cost-effective way to leverage the benefits of Automated Testing without the complexity or cost of script creation.

● They provide businesses a simple and cost-effective solution to take advantage of the benefits of Automated Testing without the hassle or expense of writing scripts. As a result, it is critical to guarantee the following when selecting a mobile Scriptless Automation platform:

● The test scripts can run on a wide range of devices and operating systems without causing problems.

● Test scripts might be exported in an open standard format to avoid vendor lock-in.

Benefits of Scriptless Test Automation

The Advantages of Scriptless Test Automation are as follows.

● Less coding experience -

It is not required for testers to have programming or scripting expertise.

● Catalyst between business analysts and technical experts -

Aside from testers (who are the primary users of Scriptless automation), the framework may also be extended to Product Owners (in the Agile era) and Business Analysts for setting up and conducting User Acceptance Tests (UAT).

● Reduced time to automation -

Automated tests that are more quickly developed and properly integrated into the Agile approach.

● Agile -

It provides versatility for both novice and experienced users.

● Quicker development -

There would be fewer ‘test’-related issues because the underlying scriptless framework would have been fully tested. As a result, the time spent troubleshooting and addressing test-related errors is reduced.

● Easy maintenance -

Maintenance of the complete automation suite is simplified.

Challenges with Traditional Automation Testing

● Maintenance issues: As the AUT changes, automation components must transform on a regular basis, update scripts, and so forth.

● Change of focus: the testing team’s goal has shifted from testing the application’s functionality to technical development and script execution.

● Less coverage of automation tests: Due to the maintenance overhead and human coding, automation tests have lower coverage.

● Poor testing procedures: If testing approaches aren’t up to standards, such as poorly organized tests, inconsistent documentation, and tests that aren’t particularly successful at discovering defects, automation isn’t always the best solution.

● False feeling of security: Just because the test suites don’t uncover any flaws in the program doesn’t mean there aren’t any. This is critical because if the tests themselves have flaws, the results will be erroneous. Those erroneous findings will be saved indefinitely by the automated test.

Best Scriptless Test Automation Tools based on different approaches

When selecting an automated testing tool, seek one that is versatile and supports a wide range of applications and languages. This will allow your team to participate in your testing efforts regardless of their experience or skill level. These frameworks have evolved significantly throughout the years. Let’s look at some of these tools based on different approaches:

1. Keyword-driven approach: It is a functional automation testing framework that is sometimes referred to as table-driven testing or action word-based testing. In keyword-driven testing, we set keywords or action words for each function that we want to perform in a table format, generally a spreadsheet.

Ex: — Robot Framework

This is an open-source automation framework tool that is well-known for Acceptance Test Driven Automation, Robotic Process Automation (RPA), and Acceptance Testing.

Features:

● This tool employs the keyword-driven testing technique with simple tabular test syntax.

2. Model-based approach: It rapidly scans the application’s UI or APIs to create a business-readable automation model. That makes it 4X faster than coding. This approach follows the strategy of developing or specifying an application or platform that is based on the use of software models.

Ex: — Tosca

Tosca is a software testing tool for automating end-to-end testing of software applications. To test GUIs and APIs from a business standpoint, Tricentis Tosca integrates many components of software testing.

Features:

● It creates codeless, robust automated tests using a novel technique that isolates an application’s technical knowledge from the automation model.

● It allows you to increase automation rates to 90 percent or higher, decrease maintenance costs, and enhance productivity.

3. AI-powered object recognition engine approach: This approach is concerned with AI systems’ ability to distinguish various items and entities. Object identification enables AI algorithms to recognize and extract items from inputs such as video and still camera photos. These tests can be recorded, scripted or manually created with keyword-driven operations and native support for BDD (Behavior-driven development).

Ex: — TestComplete

TestComplete enables testers to write automated tests for Microsoft Windows, Web, Android, and iOS apps.

Features:

● TestComplete may perform many automated tests on different workstations.

● It records the important activities required to rerun the test and eliminates those that are unnecessary.

4. Behavior-driven test creation approach: This is a testing methodology that adheres to the concept of specification by example. The goal is to explain how the program should act in a very basic user/business language. It writes tests in plain English language from the end-user perspective.

Ex: — TestRigor

TestRigor leverages AI to assist its customers reduce test maintenance by 200X, accelerate test creation by 20X, and enable human QA to design tests in plain English as an executable language. In addition, end-user analytics is utilized to develop tests that match the most commonly used end-to-end scenarios from production.

Features:

● In less than 15 minutes, one may complete a full retest.

5. GUI Test approach: is defined as the process of confirming the appropriate operation of a particular application’s graphical user interface (GUI) and ensuring that it corresponds to its specified standards.

Ex: — Squish

Squish is a market leader in graphical user interface testing. It has a number of excellent features. It is cross-platform and extremely versatile, capable of automating Windows, web, Android, iOS, and Java.

Features:

● It supports a number of programming languages such as Ruby, JavaScript, Python, and Perl.

Conclusion

Scriptless testing might be a viable alternative for organizations facing difficulty automating tests. It has several advantages over traditional test automation approaches. With applications getting more complicated, scriptless test automation is emerging as a cost-effective solution.

Like other businesses, if you too are looking to develop scriptless test automation solutions, Mindfire Solutions can be your partner of choice. We have a team of highly skilled and certified software professionals, who have developed many custom solutions for our global clients over the years.