#QA Automation Trends

[assureqa-ai]

Low-Code vs. No-Code Automation Testing: Choosing the Right Tool for Your QA Success

Low-Code vs. No-Code Automation Testing Tools Choosing the right automation testing tool can revolutionize your software quality assurance process. Low-code tools offer flexibility with minimal coding, perfect for complex workflows, while no-code tools empower non-technical users to automate effortlessly. When it comes to the best platform, Assure QA stands out. With expertise in functional, automation, performance, and security testing, Assure QA provides robust, high-performing solutions tailored to your needs. Its intuitive platform allows you to create reusable, scalable tests and offers seamless integration with CI/CD pipelines. Simplify your automation journey with Assure QA\u2014your trusted partner for exceptional software quality assurance.

[charlessmithpost]

A Quality Assurance professional in UX ensures the product is user-friendly, meets design specifications, and functions as intended. They identify usability issues, verify the interface's intuitiveness, and ensure the final product delivers a seamless and satisfying user experience.

[automationqa]

📊 Unlocking Test Automation Insights: Stay Ahead in 2023 with These Must-Know Statistics for QA Teams! 🚀

🔍 Discover the trends shaping the future of testing. Stay informed and empowered! 💡🤖

[stuarttechnologybob]

What is the importance of ai based testing?

Ai-Based Testing Services

AI - Artificial Intelligence is transforming the way software testing is done. AI-Based Testing is now a crucial part of modern software development. It brings speed, accuracy, and intelligence to testing processes that were once slow and repetitive. But why is it so important? Let's explore.

Faster Testing, Faster Releases -

Manual Testing takes time. AI-Based Tests speeds up the process by automatically generating test cases and detecting issues without constant human input. This helps businesses deliver software faster, keeping up with tight deadlines and high customer expectations.

Smarter Test Coverage -

AI can scan large amounts of data and understand complex application behavior. This allows AI-Based Testing to create better test coverage, ensuring that common and rare user scenarios are checked. As a result, software is tested more thoroughly, and fewer bugs slip through.

Reduces Human Error -

Even experienced testers can make mistakes. AI tools run tests with consistent accuracy. AI-Based Tests reduces and lowers down the number of errors by removing the guesswork and repeating tasks the same way every time. This makes Testing more reliable and builds trust in the results.

Adapts to Changes Automatically -

In traditional Testing, when software changes, testers need to rewrite scripts. With AI-Based Testing, tests can adapt on their own. AI tools and its resources can address the changes on its own in the code and update the ongoing tests accordingly by saving time and reducing the maintenance work.

Cost Efficiency -

Though setting up AI testing tools may take some investment, it saves money in the long run. Faster releases, fewer bugs, and reduced manual labor lower overall testing costs. This makes AI-Based Tests a wise financial decision for companies of all sizes.

Supports Agile and DevOps -

Modern development needs fast feedback and continuous delivery. AI-based Tests fits perfectly into Agile and DevOps environments by offering quick and reliable Testing that helps teams stay on track without delays.

AI-Based Testing is no longer just a trend—it's a must-have for businesses that want to build high-quality software quickly and stay ahead in a competitive digital world.

Trusted and expert service providers for AI-Based Testing, such as Suma Soft, IBM, Cyntexa, and Cignex, specialize in delivering innovative, automated testing solutions tailored to business needs. They offer and assist a smooth integration process with ongoing support, and AI-powered testing tools that assure strict accuracy and efficiency is maintained across all the test process. Businesses can enhance software quality, accelerate development cycles, and reduce testing efforts with their expertise. Upgrade your QA process today and unlock the full potential of intelligent automation with this simple AI-Based Testing guide!

[chinanumberonesourcing]

Guide for Importers on Manufacturing Control

Efficient Manufacturing Control in China

1. Understand the Chinese Manufacturing Environment:

Diverse Ecosystem: China offers a vast range of manufacturers, from small workshops to large factories. This variety is beneficial but also poses challenges in ensuring consistent quality.

IP Concerns: Despite improvements, IP protection in China can be inconsistent, requiring robust measures to safeguard your innovations.

Regulatory Landscape: China’s complex and changing regulations make compliance crucial to avoid fines and reputational damage.

Quality Control: While quality has improved, some sectors still prioritize quantity over quality. Rigorous quality protocols are essential.

Labor & Costs: Labor costs are rising, pushing manufacturers toward automation. Infrastructure is robust, but supply chains can be disrupted by natural disasters or policy changes.

Government Policies: China’s government heavily influences manufacturing through policies and incentives, which can affect costs and market access.

2. Build a Strong Foundation:

Supplier Selection: Choose reliable suppliers through thorough due diligence, including factory visits and financial checks.

Clear Communication: Provide detailed specifications and maintain open communication to avoid misunderstandings.

Quality Management: Implement a Quality Management System (QMS) and conduct regular audits to ensure consistent product quality.

Strong Relationships: Develop long-term partnerships with suppliers to build trust and collaboration.

3. Implement Effective Control Strategies:

QA & QC: Establish a robust QA/QC framework to ensure consistent product quality.

Supplier Development: Invest in your suppliers’ capabilities to improve quality and efficiency.

Risk Management: Prepare for disruptions with backup plans and diversified suppliers.

Contractual Coverage: Clearly define product specifications and include IP protections in contracts.

Third-Party Verification: Use third-party inspections to ensure compliance and quality.

4. Manage Logistics & Supply Chain:

Transportation: Choose the best transport mode and routes to minimize costs and delays.

Warehousing & Inventory: Optimize warehouse locations and use management systems to track inventory.

Customs & Documentation: Ensure compliance with customs regulations and prepare accurate documentation.

Supply Chain Visibility: Use technology to monitor shipments and collaborate with suppliers.

Risk Assessment: Develop contingency plans for disruptions like natural disasters or strikes.

5. Overcome Common Challenges:

Language & Cultural Barriers: Hire experts to bridge gaps in communication and cultural understanding.

IP Protection: Secure your IP with patents, trademarks, and NDAs; monitor for infringements.

Regulatory Compliance: Stay updated on regulations and partner with local experts for compliance.

Supply Chain Disruptions: Diversify suppliers, maintain sufficient inventory, and use smart tools for monitoring.

6. Continuous Improvement:

Use data analytics to track trends and improve processes.

Regularly evaluate supplier performance and invest in employee training.

Embrace technology to enhance communication and efficiency.

7. Build a Culture of Quality:

Encourage employees to propose improvements.

Reward contributions to quality enhancement.

Focus on exceeding customer expectations.

Conclusion: Effective manufacturing control in China requires ongoing effort, attention, and adaptation. Invest in strong practices to improve product quality, reduce costs, protect your brand, and optimize your supply chain.

[qasummit]

QA Summit Bengaluru 2025: Learn AI Testing with Rahul Shetty

Join Rahul Shetty, and discover how AI is changing testing, explore the latest trends in QA automation, and get career advice. Connect with professionals and boost your QA skills!

[anilpal]

AI in Software Testing: A Revolution or Evolution?

Software testing has seen remarkable advancements in its journey toward ensuring quality. From the manual execution of test cases to leveraging automated frameworks, and now embracing Artificial Intelligence (AI), the discipline continues to evolve. Let’s dive deeper into the impact of AI on test automation and how it is reshaping the testing landscape with an enhanced approach like Generative Quality Engineering (GenQE).

The Rise of Generative Quality Engineering (GenQE)

Generative Quality Engineering is a cutting-edge paradigm in software testing, driven by AI’s ability to automate complex testing processes. It represents a fusion of traditional test automation with advanced generative AI models, empowering teams to move beyond static, predefined test scripts toward dynamic, AI-driven testing workflows.

GenQE enables systems to:

Generate Context-Aware Test Scenarios: AI dynamically creates test cases based on user stories, code changes, or observed application behaviors.

Simulate User Interactions: Models analyze historical data to mimic realistic user workflows, ensuring robust coverage of critical paths.

Adapt Testing in Real Time: As applications evolve, AI updates test suites instantly, reducing manual effort and maintenance overhead.

How AI Powers GenQE: Real-World Applications

Intelligent Test Case Generation With GenQE, AI reviews application code, requirements, and user activity logs to autonomously design test cases. This ensures comprehensive coverage, reducing the risk of missed edge cases while saving testers substantial time.

Automated Test Optimization AI evaluates past test execution data to prioritize critical tests, minimizing redundant executions. By focusing on high-impact areas, teams can deliver quality faster without compromising reliability.

Data-Driven Insights for Predictive Testing Leveraging predictive analytics, GenQE identifies potential weak points in applications before they become issues. For instance, analyzing crash reports or customer feedback helps fine-tune testing efforts.

Low-Code/No-Code Testing Frameworks AI-powered low-code platforms simplify test creation. Testers with minimal coding skills can record workflows, and AI generates reusable scripts. This democratizes testing, making it accessible to wider teams.

Debunking the Fear: AI Isn’t Replacing Testers

The fear of AI replacing human QA testers often dominates discussions. However, GenQE highlights that AI is a collaborator, not a competitor. AI handles repetitive, error-prone tasks, enabling testers to focus on strategic activities like exploratory testing and quality improvement.

Take a scenario where testers review AI-generated test cases. Their role transitions into validating, refining, and overseeing, ensuring that the AI’s decisions align with business needs. AI may be brilliant at pattern recognition, but human intuition and contextual understanding remain irreplaceable in areas requiring nuanced judgment.

The Future of AI and GenQE in Testing

AI in test automation is more than a trend; it’s a transformation. With GenQE as its flagship, the future promises:

Hyper-Personalized Testing: AI tailors tests to unique user demographics and preferences.

Continuous Quality Monitoring: Real-time AI analytics ensure issues are flagged and resolved instantly.

Collaborative Intelligence: Tools where AI and testers work symbiotically to innovate and push boundaries in quality engineering.

The ultimate goal? To ensure software testing is faster, more intelligent, and deeply aligned with user expectations.

Embrace the Change

Generative Quality Engineering, fueled by AI, is rewriting the rules of software testing. By automating the mundane and enriching the strategic, it allows testers to unlock new levels of creativity and expertise. Far from replacing QA professionals, it empowers them to thrive in a tech-driven future.

Let’s redefine testing together—because the real revolution lies in collaboration, not competition.

[mulemasters]

Quality Assurance (QA) Analyst - Tosca

Model-Based Test Automation (MBTA):

Tosca uses a model-based approach to automate test cases, which allows for greater reusability and easier maintenance.

Scriptless Testing:

Tosca offers a scriptless testing environment, enabling testers with minimal programming knowledge to create complex test cases using a drag-and-drop interface.

Risk-Based Testing (RBT):

Tosca helps prioritize testing efforts by identifying and focusing on high-risk areas of the application, improving test coverage and efficiency.

Continuous Integration and DevOps:

Integration with CI/CD tools like Jenkins, Bamboo, and Azure DevOps enables automated testing within the software development pipeline.

Cross-Technology Testing:

Tosca supports testing across various technologies, including web, mobile, APIs, and desktop applications.

Service Virtualization:

Tosca allows the simulation of external services, enabling testing in isolated environments without dependency on external systems.

Tosca Testing Process

Requirements Management:

Define and manage test requirements within Tosca, linking them to test cases to ensure comprehensive coverage.

Test Case Design:

Create test cases using Tosca’s model-based approach, focusing on functional flows and data variations.

Test Data Management:

Manage and manipulate test data within Tosca to support different testing scenarios and ensure data-driven testing.

Test Execution:

Execute test cases automatically or manually, tracking progress and results in real-time.

Defect Management:

Identify, log, and track defects through Tosca’s integration with various bug-tracking tools like JIRA and Bugzilla.

Reporting and Analytics:

Generate detailed reports and analytics on test coverage, execution results, and defect trends to inform decision-making.

Benefits of Using Tosca for QA Analysts

Efficiency: Automation and model-based testing significantly reduce the time and effort required for test case creation and maintenance.

Accuracy: Reduces human error by automating repetitive tasks and ensuring consistent execution of test cases.

Scalability: Easily scales to accommodate large and complex testing environments, supporting continuous testing in agile and DevOps processes.

Integration: Seamlessly integrates with various tools and platforms, enhancing collaboration across development, testing, and operations teams.

Skills Required for QA Analysts Using Tosca

Understanding of Testing Principles: Fundamental knowledge of manual and automated testing principles and methodologies.

Technical Proficiency: Familiarity with Tosca and other testing tools, along with basic understanding of programming/scripting languages.

Analytical Skills: Ability to analyze requirements, design test cases, and identify potential issues effectively.

Attention to Detail: Keen eye for detail to ensure comprehensive test coverage and accurate defect identification.

Communication Skills: Strong verbal and written communication skills to document findings and collaborate with team members.

[mercyjuliet1512]

Path to Selenium Mastery: Your Comprehensive Guide to Automated Testing

In today's dynamic digital landscape, ensuring the quality and reliability of web applications is paramount. Enter Selenium, the premier automation testing framework that has transformed the way web applications are tested. Whether you're a seasoned QA engineer or a budding tester aiming to elevate your skills, mastering Selenium unlocks a myriad of opportunities in automated testing.

This comprehensive guide is your roadmap to mastering Selenium and advancing your testing expertise.

Foundations of Selenium Mastery

Embarking on your Selenium journey requires a strong understanding of its fundamentals and automated testing principles. Start by familiarizing yourself with the core concepts of Selenium, including the Selenium WebDriver and its architecture, and how it interacts with web browsers to automate testing tasks. This foundational knowledge sets the stage for your Selenium proficiency.

Selecting Learning Resources

Choose reliable and comprehensive learning resources to support your Selenium learning journey. With a multitude of online tutorials, courses, and documentation available, platforms like Udemy, Coursera, and Pluralsight offer tailored courses catering to various skill levels. Find resources that resonate with your learning style and preferences to maximize your learning experience.

Hands-on Learning Experience

Practice is paramount when it comes to mastering Selenium. Dive into hands-on practice by setting up your development environment, downloading the Selenium WebDriver, and crafting test scripts in your preferred programming language, whether it's Java, Python, or JavaScript. Through practical exercises, you'll deepen your understanding of Selenium's capabilities and functionalities.

Building Practical Projects

Apply your newfound knowledge by undertaking small-scale Selenium projects. Start with simple tasks like automating form submissions or navigating web pages, gradually progressing to more complex scenarios. Building projects not only reinforces your Selenium skills but also enhances your problem-solving abilities and boosts your confidence as a tester.

Exploring Advanced Techniques

Advance your Selenium expertise by delving into advanced topics and techniques. Learn how to handle dynamic elements, work with frames and iframes, implement synchronization strategies, and integrate Selenium with popular testing frameworks like TestNG or JUnit. Mastering these advanced concepts equips you to tackle real-world testing challenges with ease.

Community Engagement

Joining Selenium-centric online communities and forums provides invaluable support and insights. Platforms like the Selenium WebDriver Google Group or the Selenium subreddit offer opportunities to connect with peers, seek advice, and share experiences. Engaging with the community fosters collaboration and accelerates your learning journey.

Enrolling in Online Courses

Enroll in online courses offered by reputable platforms to gain structured learning paths and expert guidance. Courses on platforms like Udemy, Coursera, or Pluralsight offer hands-on exercises, real-world examples, and practical insights from industry professionals. Continuous learning through online courses ensures you stay updated with the latest trends and advancements in automated testing.

Practical Application

Apply your Selenium skills to real-world testing scenarios by contributing to open-source projects or collaborating with local businesses. This practical experience not only enhances your skills but also strengthens your resume, making you a competitive candidate in the job market. Real-world application solidifies your understanding and prepares you for future challenges.

Staying Informed

The field of automated testing is ever-evolving, with new tools and techniques emerging regularly. Stay informed by following industry blogs, attending webinars, and participating in online conferences. Keeping abreast of the latest developments ensures you remain at the forefront of the industry and positions you as a trusted expert in Selenium testing.

Continual Growth

Remember, learning Selenium is a journey, not a destination. Challenge yourself to explore new features, experiment with different approaches, and expand your knowledge base. Mastery requires dedication and persistence, so embrace opportunities for growth and development along the way.

In conclusion, mastering Selenium is an enriching journey that requires commitment, practice, and continuous learning. By following this comprehensive guide and embracing hands-on practice, community engagement, and ongoing education, you'll navigate the path to Selenium mastery and unlock endless possibilities in automated testing. So, dive in, embark on your Selenium journey, and embark on a rewarding career in software testing. Happy testing!

[charlessmithpost]

Skills Required for QA Professionals in QA Automation

Here are some essential skills required for QA Automation:

Programming Languages: Proficiency in at least one programming language such as Java, Python, JavaScript, or others commonly used in test automation.

Test Automation Tools/Frameworks: Experience with popular automation frameworks like Selenium WebDriver, Appium (for mobile testing), or tools like Cypress, TestComplete, or Robot Framework.

Version Control Systems: Knowledge of version control systems like Git for managing test scripts and collaborating with teams.

Web Technologies: Understanding of web technologies (HTML, CSS, JavaScript) to interact with elements on web applications.

API Testing: Ability to automate testing of APIs using tools like Postman, RestAssured, or libraries in programming languages.

Database Skills: Basic knowledge of SQL for verifying data integrity and performing backend testing.

Testing Concepts: Strong understanding of software testing concepts, types of testing (functional, regression, load, etc.), and best practices.

CI/CD Tools: Familiarity with Continuous Integration and Continuous Deployment tools like Jenkins, Travis CI, or GitLab CI for automating test execution.

Problem-Solving Skills: Ability to analyze complex problems and provide solutions within the automation framework.

Communication: Good communication skills to collaborate with developers, testers, and other stakeholders.

Agile Methodology: Understanding of Agile practices and how automation fits into Agile development cycles.

Attention to Detail: Thoroughness in writing test scripts, handling edge cases, and ensuring comprehensive test coverage.

These skills collectively enable QA Professionals to effectively create, execute, and maintain automated test suites that ensure the quality and reliability of software applications. Learn QA Automation Skills to pave your way to becoming a successful QA professional.

[keploy]

Automated Test Equipment: Market Trends, Manufacturers & Use Cases

In today’s fast-paced manufacturing and electronics industries, automated test equipment (ATE) has become essential for ensuring product quality, improving test accuracy, and reducing time-to-market. Whether you're in semiconductor production or developing embedded systems, understanding ATE systems can give your business a strategic edge. As the automated test equipment market continues to grow, choosing the right automated test equipment manufacturer becomes more critical than ever for staying competitive and compliant.

What is Automated Test Equipment (ATE)?

Automated test equipment refers to machines or devices used to conduct tests on a unit under test (UUT) automatically, with minimal human intervention. ATE systems are often employed in:

Semiconductor testing

PCB (Printed Circuit Board) analysis

Aerospace and defense validation

Consumer electronics QA

By leveraging sensors, software, and programmable logic, ATE ensures precise, fast, and repeatable testing—something manual inspection can’t scale with.

Automated Test Equipment Market Trends in 2025

The automated test equipment market is projected to grow significantly, with demand being driven by:

Rising chip complexity

Expansion of 5G and IoT

Push for quality in automotive electronics

According to recent reports, the global ATE market could surpass $10 billion by 2026, with Asia-Pacific leading due to heavy electronics manufacturing in China, Taiwan, and South Korea.

Top Automated Test Equipment Manufacturers

Here are some of the leading automated test equipment manufacturers shaping the industry:

Teradyne Inc.

Advantest Corporation

National Instruments (NI)

Keysight Technologies

Chroma ATE Inc.

These companies provide both robust hardware and flexible software ecosystems, making ATE integration easier than ever.

Use Cases Across Industries

ATE is widely used in:

Semiconductors: IC and SoC testing

Automotive: ECU, sensor, and infotainment validation

Consumer Electronics: Functional QA

Aerospace & Defense: Safety-critical system testing

Why ATE Matters for Modern QA

Modern DevOps and QA teams can use automated test equipment to align with agile methodologies and CI/CD pipelines. When paired with tools like auto software testing tools, teams can streamline both hardware and embedded software validation.

🔗 Related Resources

Top 7 Test Automation Tools

Choosing the Right Penetration Testing Tools

Test Case Generation for Faster API Testing

[educationtech]

Engineers in 2025: These Automation Tools Are Game-Changers

In 2025, Arya College of Engineering & I.T. says automation tools are indispensable for engineers across disciplines, streamlining workflows, boosting productivity, and ensuring quality at scale. Mastering these tools is crucial for staying competitive in software development, testing, DevOps, and even broader engineering domains. Here are the top automation tools every engineer should be familiar with in 2025, categorized by their core strengths and applications:

There are numerous powerful automation tools available today, each catering to specific needs across web, mobile, and API testing. Selenium remains the open-source industry standard for web application testing, offering high customization and broad adoption. Playwright, developed by Microsoft, is a modern browser automation tool that supports automatic waits, robust debugging, and cross-browser testing. Cypress is well-suited for frontend JavaScript teams due to its real-time, browser-based testing environment. For mobile app testing, Appium stands out as a versatile open-source solution that supports both Android and iOS platforms.

Katalon Studio provides a low-code environment enriched with cross-platform and API testing features, making it accessible for both beginners and professionals. Leapwork offers no-code automation via visual flowcharts, ideal for teams with limited coding experience. Testim introduces AI-powered test automation with self-healing locators, tailored for agile teams. Robot Framework uses a keyword-driven approach and is highly extensible, making it easy for non-developers to implement tests across a variety of use cases.

Cloud-based and AI-enabled platforms are also transforming the automation space. ACCELQ is a codeless, AI-powered platform that supports testing across web, API, and mobile apps. BugBug is another codeless tool, designed to be fast and efficient, particularly for startups and lean QA teams. BrowserStack enables scalable testing through real-world browser and device combinations in the cloud, while Perfecto provides enterprise-level, real-device cloud testing with Behavior-Driven Development (BDD) support. Lastly, Entelligence AI enhances code quality through AI-driven code reviews and documentation, streamlining pull-request management and ensuring documentation remains synchronized.

Why These Tools Matter

Comprehensive Automation: These platforms cover web, mobile, API, and desktop testing, allowing engineers to automate across the tech stack.

AI & No-Code Trends: The rise of AI-powered tools (e.g., Testim, Entelligence AI) and no-code/low-code platforms (e.g., Leapwork, Katalon Studio) democratizes automation, enabling both coders and non-coders to contribute.

Cloud & Scalability: Tools like BrowserStack and Perfecto offer cloud-based testing on real devices, crucial for large-scale and distributed teams.

Integration & DevOps: Most leading tools integrate with CI/CD pipelines, DevOps workflows, and provide analytics for continuous improvement.

Additional Insights

Agentic AI and Autonomous Agents: Emerging trends include agentic AI that optimizes workflows, reduces manual effort, and enhances decision-making in automation.

Skill Development: Mastering these tools, along with foundational programming and DevOps practices, is essential for engineers aiming for hybrid, future-ready roles.

In summary:

To excel as an engineer in 2025, proficiency in these automation tools—spanning code, test, review, and deployment—is vital. They not only boost efficiency and accuracy but also position you at the forefront of engineering innovation.

[emexotech1]

DevOps Course in Electronic City Bangalore

DevOps Training in Electronic City Bangalore – The Career Move That Changes Everything

Imagine this: You're on a tight deadline. Your team has written great code, but it’s stuck in QA or fails during deployment. Tension builds. Sound familiar?

Now, picture this instead—code gets built, tested, and deployed in minutes. Bugs are caught early, environments are consistent, and your team works like a well-oiled machine. That’s what DevOps makes possible.

And if you're located in or near Electronic City, Bangalore, you’re in luck. You’re already in one of India’s top tech hotspots, and now, with the DevOps Training in Electronic City Bangalore by eMexo Technologies, you have a clear path to ride the wave of opportunity in this high-growth field.

Why DevOps Course in Electronic City Bangalore—and Why Should You Learn It Now?

Let’s face it: traditional IT models are too slow for today’s demands. Businesses can’t afford long development cycles or last-minute production errors.

That’s why DevOps Training Institute in Electronic City Bangalore is more than just a trend—it’s the new standard. It brings together development and operations to streamline workflows, boost collaboration, and automate repetitive tasks.

Think of it as moving from doing things the hard way to doing them the smart way.

And with the DevOps Course in Electronic City Bangalore offered by eMexo Technologies, you won’t just learn tools—you’ll learn how to build better systems, faster.

What Makes This DevOps Course in Electronic City Bangalore Stand Out?

Not all DevOps courses are created equal. At eMexo Technologies, we designed our DevOps Certification Course in Electronic City Bangalore with one goal: real transformation. No fluff. No endless slides. Just practical, job-ready skills.

Here’s what you’ll experience:

Learn by Doing (Yes, Really)

CI/CD Pipelines with Jenkins – Automate everything from build to deployment

Docker Containers – Package and ship your code seamlessly

Kubernetes Orchestration – Manage complex containerized apps effortlessly

Ansible & Terraform – Set up infrastructure like a pro

AWS Integration – Apply your skills in cloud environments

Monitoring with Prometheus, Grafana & ELK Stack – Keep systems healthy and high-performing

This is hands-on learning at its best—backed by one of the Best DevOps Training in Electronic City Bangalore.

Taught by Professionals Who Live and Breathe DevOps Training Institute in Electronic City Bangalore

When you join our DevOps Training Institute in Electronic City Bangalore, you're not just learning from trainers—you’re learning from engineers who’ve handled real production incidents, built enterprise pipelines, and automated workflows at scale.

They share tips, best practices, and lessons learned from the trenches—so you're not just exam-ready, you're job-ready.

Who Can Join This DevOps Certification Course in Electronic City Bangalore?

If you think DevOps is only for senior developers or cloud architects—think again. Our DevOps Training Center in Electronic City Bangalore welcomes:

Fresh graduates who want to break into IT

System admins aiming to move into DevOps roles

Developers tired of handoff delays

IT pros ready to step up into automation and cloud deployment

Career changers looking for a high-growth, future-proof role

We start from the basics and build up—no assumptions, no jargon overload.

Get Certified and Get Noticed

With our DevOps Certification Course in Electronic City Bangalore, you'll receive a credential that actually matters. Employers trust it because it’s backed by practical, project-based learning—not just theory.

You’ll complete capstone projects, build live pipelines, and walk away with a portfolio that shows what you can do—not just what you’ve memorized.

DevOps Training and Placement in Electronic City Bangalore – A Complete Career Launchpad

Training is only one part of the journey. Our program includes DevOps Training and Placement in Electronic City Bangalore to help you move from classroom to career:

Personalized career guidance sessions

Resume & LinkedIn makeover for DevOps roles

Technical mock interviews

Access to job referrals and hiring partners

Walk-in interview notifications in Bangalore’s IT corridor

We're proud to say that many of our students are now working at leading firms like Infosys, Capgemini, Accenture, Cognizant, and even innovative DevOps startups.

Why Location Matters (and Why You’re Already in the Right Place)

Being at our DevOps Training Center in Electronic City Bangalore means more than just convenience. You’re right next to hundreds of tech companies actively hiring DevOps professionals. That’s proximity, visibility, and opportunity—all working in your favor.

Invest in Yourself—Because This One Step Can Change Everything

Let’s be honest: career growth doesn’t happen by accident. It happens when you invest in the right skills, at the right time, with the right mentors.

At eMexo Technologies, we’re committed to delivering the Best DevOps Training in Electronic City Bangalore—one that’s rooted in real-world relevance and long-term success.

Plus, we’re offering 30% off for a limited time. That’s world-class training, hands-on experience, and career support—at a price you won’t see again soon.

Ready to Build What’s Next?

Whether you're aiming for your first job in tech or transitioning into a smarter, faster way of working, DevOps is the way forward.

Let’s take that leap together.

 📞 Call Now: +91 9513216462 📩 Email: info@emexotechnologies.com 🔗 Enroll Now – DevOps Training in Electronic City Bangalore

[qubeacademy]

B Tech ECE Salary in India

If you're considering a career that combines both electronics and computer science, then a B.Tech in Electronics and Communication Engineering (ECE) is one of the smartest choices after 12th. But before choosing any course, it's natural to ask — What is the salary after B.Tech ECE in India?

This article gives you a complete understanding of the ECE salary trends, job opportunities, and career growth options, especially if you're from Hyderabad, Andhra Pradesh, Telangana, or planning to study or work anywhere across India.

You’ll also learn how Qube Academy can guide you toward top-paying roles and the right colleges.

What is B Tech ECE Salary in India? A B.Tech in ECE is a four-year undergraduate engineering program that deals with designing and developing electronic devices, systems, and communication technologies. It blends the core principles of electronics, telecommunications, and programming.

When it comes to salary, it depends on several factors such as your college, location, skills, and the role you choose. Here's a general breakdown:

Experience Level Average Monthly Salary (India) Fresher (0–1 year) ₹25,000 – ₹45,000 1–3 years experience ₹40,000 – ₹75,000 4–7 years experience ₹70,000 – ₹1,20,000 7+ years experience ₹1.5 lakh – ₹3 lakh and above

Some roles in top companies even start with packages of ₹10–15 LPA if you’re placed through campus or national-level hiring drives.

Why It Matters in Hyderabad, Andhra Pradesh, Telangana, and Across India India is rapidly growing in the fields of electronics, embedded systems, and digital communication. Cities like Hyderabad, Bengaluru, Pune, and Chennai are emerging as electronics and IT hubs. For students from Telugu-speaking states, this means better chances of employment and salary growth in local as well as national companies.

In Telangana and Andhra Pradesh, many IT parks, electronics manufacturing units, and startups are actively hiring ECE graduates for roles in embedded systems, software development, IoT, and VLSI design.

Government initiatives like Digital India, Make in India, and Electronics Manufacturing Clusters (EMCs) are creating more demand for ECE professionals in both central and state-level projects.

Key Benefits of Pursuing B Tech ECE Opportunity to work in both hardware and software sectors

High-paying job roles in telecom, embedded systems, AI, IoT, and semiconductors

Competitive edge for government jobs in DRDO, ISRO, BHEL, BEL, and BSNL

Freedom to shift into coding or IT roles without needing a Computer Science degree

Strong demand across private MNCs, PSUs, and startups

Ability to work in futuristic domains like robotics, automation, and 5G technology

What You’ll Study in B Tech ECE Here’s what you can expect during your 4-year course:

Eligibility:

10+2 with Physics, Chemistry, and Mathematics

Entrance exams: EAMCET, JEE Main, BITSAT, or university-specific tests

Duration:

4 years (8 semesters)

Core Subjects:

Analog and Digital Electronics

Microprocessors and Microcontrollers

Signal Processing

Communication Systems (Mobile, Wireless, Optical)

VLSI Design

Embedded Systems

Internet of Things (IoT)

Programming languages (C, Python, MATLAB)

Many colleges also offer mini-projects, internships, and industry collaborations in the third and fourth years to help students gain practical exposure.

Career Paths and Salary Packages After B Tech ECE Whether you want to work in the core electronics field, shift to IT/software, or aim for government jobs, B.Tech ECE gives you many options.

Core Electronics Roles Embedded Systems Engineer – ₹4 to ₹6 LPA

VLSI Design Engineer – ₹6 to ₹10 LPA

Hardware Design Engineer – ₹4 to ₹8 LPA

Control Systems Engineer – ₹5 to ₹7 LPA

Software/IT Roles for ECE Graduates Software Developer – ₹4 to ₹12 LPA

QA/Testing Engineer – ₹3.5 to ₹6 LPA

System Analyst – ₹6 to ₹10 LPA

IoT Developer – ₹5 to ₹9 LPA

Many companies like TCS, Wipro, Infosys, Cognizant, and Accenture hire ECE graduates if they have strong coding or logical skills.

Telecom and Network Roles Telecom Engineer – ₹4.5 to ₹7 LPA

RF Engineer – ₹4 to ₹6.5 LPA

Network Planning Engineer – ₹5 to ₹8 LPA

Government Jobs and PSUs Jobs in ISRO, DRDO, BHEL, BEL, BSNL, Indian Railways

Most roles through GATE, SSC JE, or direct recruitment

Salaries typically range between ₹6 to ₹10 LPA with job security and benefits

How to Boost Your B Tech ECE Salary Here are a few tips to maximize your package:

Develop software skills like Python, C++, Java

Learn tools like MATLAB, Multisim, or Verilog

Do internships during your degree to gain hands-on experience

Take certification courses in IoT, Machine Learning, Embedded C, or VLSI

Work on open-source projects or college competitions to build your resume

Target national exams like GATE if you're aiming for PSUs or higher studies

How Qube Academy Helps You Succeed Qube Academy is your trusted career partner in the Telugu states. We help students make informed choices in engineering and beyond.

Here’s how we support you:

Admissions Counseling: Choose the right university or college based on your goals and marks

Partnered Universities: Get access to reputed colleges with strong placement records

Entrance Exam Guidance: For EAMCET, JEE, and other university-specific exams

Bridge Courses: Upgrade your skills in programming, electronics, and interview preparation

Career Support Till Placement: Resume building, mock interviews, and career mapping

Example: A student from Vijayawada who struggled to choose between CSE and ECE came to Qube Academy. With proper counseling, he joined ECE at a top private university in Hyderabad and is now placed in a telecom product company with a ₹7.2 LPA package.

Final Thoughts and Next Steps If you’re interested in a future-proof career that blends electronics, coding, and innovation, B Tech ECE is a solid choice. With the right guidance, your salary can grow rapidly — whether you aim for software roles, government jobs, or core electronics companies.

Now is the time to make your decision.

Start your journey today:

Explore top ECE colleges across India

Apply through Qube Academy’s expert admission guidance

Talk to a career counselor and clarify your path

Build a high-paying, high-growth career after 12th

Visit qubeacademy.com or call us at +91 92814 16180 to get started.

[jhnneelam]

Mobile Application Testing Solutions Market Future Trends, Growth Opportunities 2025-2037

In 2024, the Mobile Application Testing Solutions Market was valued at USD 6.9 billion and is anticipated to grow significantly, reaching approximately USD 61.8 billion by 2037. This reflects a robust compound annual growth rate (CAGR) of 18.1% throughout the forecast period. This exceptional growth underscores the increasing reliance on mobile technologies across industries and the escalating need for robust, agile, and scalable testing solutions to ensure seamless user experiences and high application performance in a competitive digital landscape.

Mobile Application Testing Solutions Industry Demand

In 2024, the Mobile Application Testing Solutions Market was valued at USD 6.9 billion and is anticipated to grow significantly, reaching approximately USD 61.8 billion by 2037. This reflects a robust compound annual growth rate (CAGR) of 18.1% throughout the forecast period.This exceptional growth underscores the increasing reliance on mobile technologies across industries and the escalating need for robust, agile, and scalable testing solutions to ensure seamless user experiences and high application performance in a competitive digital landscape.

Mobile Application Testing Solutions Market: Growth Drivers & Key Restraint

Growth Drivers –

Rapid Shift to Outsourced and DevOps-Driven QA Models: Enterprises are increasingly outsourcing quality assurance and adopting agile and DevOps methodologies, which demand continuous testing. This drives the need for advanced mobile testing solutions that support automation, integration, and scalability.

Technological Advancements in Testing Tools: Innovations such as AI-powered test automation, real-time cloud-based testing labs, and codeless testing platforms have significantly improved test accuracy, speed, and coverage, encouraging adoption among both SMEs and large enterprises.

Explosion in Mobile App Usage Across Sectors: The surge in mobile-first digital strategies in sectors like healthcare, e-commerce, fintech, and entertainment necessitates rigorous testing protocols to ensure security, compatibility, and optimal user experience.

Request Sample@ https://www.researchnester.com/sample-request-154

Restraint –

High Complexity in Multi-Platform Testing: Despite advancements, ensuring compatibility across an ever-expanding range of devices, operating systems, and network environments remains a technical and financial challenge, especially for smaller firms lacking in-house expertise or infrastructure.

Mobile Application Testing Solutions Market: Segment Analysis

Segment Analysis by Deployment Mode –

On-Premises: Favored by large enterprises requiring tight control over sensitive application data and customization, this segment serves industries with strict compliance requirements such as banking and healthcare.

Cloud-Based: Gaining rapid momentum due to its scalability, lower infrastructure costs, and support for remote and parallel testing. Widely used by startups and agile teams aiming for faster releases and global collaboration.

Segment Analysis by Product Type–

Includes functional testing tools, performance testing platforms, security testing suites, and usability testing frameworks. The demand varies depending on organizational needs, with automation-friendly tools leading the adoption curve, especially in high-volume mobile application lifecycles.

Manual Testing: Still essential for exploratory, usability, and ad hoc testing, particularly in early development or smaller apps with limited use cases.

Automation Testing: Dominant in modern CI/CD environments due to its efficiency, reusability, and ability to handle repetitive test cases at scale. Automation is driving market growth significantly with frameworks like Selenium, Appium, and cloud-based services.

Segment Analysis by End‑User –

BFSI: High emphasis on security, compliance, and performance. Relies heavily on both manual and automated testing for mobile banking apps.

Healthcare: Increased focus on data privacy and functionality in apps supporting diagnostics, patient records, and telehealth services.

Retail & E-Commerce: Rapid deployment cycles, seasonal traffic surges, and UX optimization drive significant investment in mobile testing.

IT & Telecom: Early adopters of automation testing, leveraging it for speed, performance, and cross-device compatibility.

Media & Entertainment: Apps demand seamless performance for streaming and real-time content, requiring continuous testing across device types.

Others: Including transportation, education, and government – segments gradually expanding their mobile testing budgets in response to digital transformation.

Mobile Application Testing Solutions Market: Regional Insights

North America:

North America dominates the mobile application testing market due to its mature IT ecosystem, high app consumption rates, and early adoption of advanced testing solutions. The presence of key players and a focus on innovation, especially in AI and automation, further fuel demand in this region.

Europe:

Europe shows strong growth driven by strict data protection regulations (such as GDPR) and increasing mobile application usage in finance and healthcare. Enterprises in the region are steadily moving towards cloud-based and hybrid testing infrastructures.

Asia-Pacific (APAC):

The APAC region is emerging as a key growth area due to the proliferation of smartphones, expanding e-commerce markets, and increasing investment in IT infrastructure. Countries like India, China, and Southeast Asian nations are seeing rapid adoption of mobile app testing solutions, especially by startups and SMEs leveraging cloud-based platforms.

Top Players in the Mobile Application Testing Solutions Market

Leading companies shaping the Mobile Application Testing Solutions Market include Accenture Plc, IBM Corporation, Capgemini, Cognizant Technology Solutions, Microsoft Corporation, Sauce Labs Inc., Synopsys, Inc., Infosys Limited, Wipro Limited, Cigniti Technologies, Samsung SDS, AppLabs (DXC Technology), Atlassian Corporation, Perfecto (Perforce Software), and Axiata Digital Services. These organizations offer a wide array of testing platforms and services, including cloud-based testing, test automation frameworks, performance monitoring, and consulting services. Their continuous innovation and strategic partnerships play a crucial role in advancing the market globally.

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Contact for more Info:

AJ Daniel

Email: info@researchnester.com

U.S. Phone: +1 646 586 9123

U.K. Phone: +44 203 608 5919

[anilpal]

Software Testing Trends Shaping 2025

The software testing landscape is evolving rapidly, driven by the need for faster, more reliable, and efficient quality assurance (QA) processes in an increasingly complex digital world. As we move into 2025, several key trends are redefining how organizations approach testing to ensure high-quality software that meets user expectations and business demands. Below, we explore the top software testing trends for 2025, with a focus on how Genqe.ai is leading the charge in transforming QA practices.

1. AI-Powered Test Automation Takes Center Stage

Artificial Intelligence (AI) continues to revolutionize software testing by automating repetitive tasks, optimizing test coverage, and predicting potential failures. AI-driven tools reduce manual effort, enhance test accuracy, and adapt to dynamic application changes through self-healing capabilities.

Genqe.ai’s Role: Genqe.ai’s AI-powered platform exemplifies this trend with its no-code automation and intelligent test creation. It auto-generates test cases, adapts to UI changes, and provides actionable insights, enabling teams to achieve faster and more reliable testing outcomes. By leveraging generative AI, Genqe.ai streamlines test scenario creation and maintenance, making it a game-changer for QA teams.

2. Shift-Left Testing for Early Quality Assurance

Shift-left testing emphasizes integrating testing earlier in the Software Development Life Cycle (SDLC) to catch defects sooner, reducing costs and improving quality. This approach aligns testing with development, fostering collaboration between developers, testers, and business stakeholders.

Genqe.ai’s Role: Genqe.ai supports shift-left testing by enabling teams to create automated tests in parallel with development. Its intuitive, business-focused interface allows non-technical stakeholders to contribute to test design, ensuring requirements are validated early and reducing rework.

3. Codeless Automation Democratizes QA

Codeless automation platforms are empowering testers with limited coding expertise to create robust test scripts, accelerating test creation and broadening team participation. This trend supports faster delivery cycles and aligns with agile methodologies.

Genqe.ai’s Role: Genqe.ai’s no-code platform is at the forefront of this trend, offering a user-friendly interface that simplifies test automation. Testers can build and execute complex test scenarios without writing code, making QA accessible to diverse team members while maintaining enterprise-grade robustness.

4. Test Data Management with Synthetic Data

Effective test data management (TDM) is critical for realistic and compliant testing. AI-driven synthetic data generation addresses privacy concerns and ensures diverse, high-quality test data for comprehensive coverage.

Genqe.ai’s Role: Genqe.ai leverages AI to generate synthetic test data tailored to specific business rules, reducing the time spent on data preparation. Its intelligent TDM capabilities optimize test coverage and improve defect detection, ensuring realistic testing scenarios without compromising data security.

5. Unified Testing Platforms for Full-Stack Coverage

As applications span web, mobile, API, desktop, and mainframe environments, fragmented tools create inefficiencies. Unified testing platforms that support cross-technology testing are becoming essential for seamless QA workflows.

Genqe.ai’s Role: Genqe.ai offers a unified, AI-driven platform that supports end-to-end testing across web, mobile, API, and more. Its integrated test management and CI/CD compatibility ensure smooth workflows, eliminating silos and boosting testing efficiency.

6. Resilience Testing for Robust Systems

With applications deployed across hybrid and multi-cloud ecosystems, resilience testing is critical to ensure systems can handle spikes, outages, or data corruption. This trend focuses on validating system stability under real-world conditions.

Genqe.ai’s Role: Genqe.ai’s AI-driven testing capabilities include robust load and stress testing features. It simulates real-world scenarios to identify performance bottlenecks, ensuring applications remain stable and scalable under varying conditions.

7. Accessibility and Ethical Testing Gain Priority

In 2025, testing goes beyond functionality to include accessibility and ethical considerations. Ensuring applications are usable by all, including those with disabilities, and free from biases in AI-driven systems is a growing focus.

Genqe.ai’s Role: Genqe.ai supports accessibility testing by aligning with standards like WCAG 2.1, helping teams validate usability for diverse users. Its AI capabilities also analyze AI-driven systems for ethical implications, ensuring fairness and transparency in decision-making processes.

8. TestOps and CI/CD Integration

TestOps, the integration of testing into DevOps pipelines, is streamlining QA by aligning testing with continuous integration and delivery (CI/CD). This trend emphasizes automation, collaboration, and real-time feedback.

Genqe.ai’s Role: Genqe.ai seamlessly integrates with CI/CD tools like Jenkins and Azure DevOps, enabling continuous testing within agile workflows. Its real-time reporting and AI-driven test execution provide actionable insights, reducing test cycle times and enhancing release confidence.

9. Hyper-Automation for End-to-End Efficiency

Hyper-automation combines AI, machine learning, and robotic process automation (RPA) to automate complex business processes, minimizing human intervention and boosting efficiency.

Genqe.ai’s Role: Genqe.ai’s hyper-automation capabilities automate test creation, execution, and maintenance across the SDLC. Its AI-driven approach reduces manual effort, accelerates testing, and ensures consistent quality in high-frequency deployment scenarios.

10. Focus on User-Centric Testing

Testing in 2025 prioritizes user experience, ensuring applications are not only functional but also intuitive and engaging. User-centric testing validates real-world scenarios to meet end-user expectations.

Genqe.ai’s Role: Genqe.ai’s AI agents analyze user behavior and suggest test scenarios that prioritize real-world use cases. Its platform ensures applications deliver seamless experiences, enhancing user satisfaction and retention.

Preparing for 2025: Strategic Steps for QA Leaders

To stay ahead in 2025, QA leaders should focus on:

Adopting AI-Driven Tools: Leverage platforms like Genqe.ai to automate and optimize testing processes.

Embracing Shift-Left Practices: Integrate testing early in the SDLC to reduce defects and costs.

Investing in Unified Platforms: Use Genqe.ai’s full-stack testing capabilities to streamline workflows.

Prioritizing Accessibility and Ethics: Ensure compliance with accessibility standards and ethical AI practices.

Enhancing TestOps: Integrate testing with CI/CD pipelines for faster, more reliable releases.

Conclusion

The software testing trends of 2025 highlight the need for speed, scalability, and user-centric quality in an increasingly complex digital landscape. Genqe.ai is at the forefront of these trends, offering an AI-powered, no-code, unified testing platform that empowers teams to deliver high-quality software efficiently. By adopting Genqe.ai, organizations can navigate the evolving QA landscape, reduce testing bottlenecks, and achieve faster, more reliable releases that delight users.

Ready to transform your testing strategy? Explore Genqe.ai’s innovative solutions and book a free trial today at Genqe.ai.