#automated qa testing

[yethiconsulting]

UI Automation Testing: Reducing Manual Efforts and Boosting Accuracy

Introduction:

UI automation testing is a powerful method for reducing manual testing efforts while improving test accuracy and coverage. By automating repetitive tasks, QA teams can focus on more complex testing, leading to faster release cycles and higher software quality.

Automating Repetitive Tasks:

Manual UI testing can be time-consuming and prone to human error. Automating repetitive tasks—like form submissions, button clicks, and navigation—frees up testers to focus on more critical, exploratory testing. Tools like Selenium and Cypress allow you to automate these tasks, ensuring consistency across test runs.

Increasing Accuracy and Consistency:

Automation eliminates the variability introduced by human testers, ensuring the same steps are executed each time, thus improving the reliability of your tests. Automation also enables parallel testing across multiple browsers and devices, enhancing test coverage.

Faster Feedback with CI/CD Integration:

Integrating UI automation testing into CI/CD pipelines ensures that tests run automatically after each code change, providing faster feedback to developers. This helps catch bugs early in the development cycle, reducing the risk of costly errors.

Conclusion:

By automating UI testing, teams can significantly reduce manual efforts, increase accuracy, and accelerate development timelines. This leads to more reliable software and more efficient testing processes.

[gopinadhreddy]

QA & SOFTWARE TESTING - SPARK TECHNOLOGIES

As a world-class IT services provider with years of experience across various sectors globally. Spark Technologies delivers the business IT solutions you need to enhance efficiency, add value, and reduce costs. We design, develop, implement, manage, and optimize access to systems and information, addressing your business processing, application, and infrastructure needs.

click here for more

[testrigtechnologies]

What is Codeless Automation and How its work?

As software development cycles grow faster and more continuous, testing needs to move at the same velocity. Traditional automation—powerful though it is—can become a bottleneck when only a small group of engineers can write and maintain test scripts. Enter codeless test automation, a modern answer to the challenge of scaling quality across teams without requiring everyone to write code.

But codeless is more than just a buzzword—done right, it’s a collaborative, intelligent, and scalable testing methodology that’s redefining how organizations approach QA.

What Is Codeless Test Automation?

Codeless test automation refers to the use of platforms and tools that allow testers to create, execute, and maintain automated tests without writing traditional programming code. Instead of scripting in languages like Java or Python, testers interact with:

Drag-and-drop interfaces

Pre-built test blocks or visual workflows

Natural language inputs or behavior-driven design formats (like Gherkin)

These tools abstract the code behind the scenes, allowing both technical and non-technical team members to contribute to the automation process.

Low-Code vs. No-Code vs. Codeless Automation: Understanding the Differences

Although often used interchangeably, these terms are not the same:

Low-Code Automation provides a blend—it offers visual interfaces but also allows code injections for complex conditions. Perfect for semi-technical testers who want both control and ease.

No-Code Automation eliminates code entirely. It's built for business users and testers with no programming background. Simplicity is the goal—but often at the cost of flexibility.

Codeless Automation, as a broader term, may incorporate both low-code and no-code options. It focuses on abstracting complexity while still offering enough control for power users when needed.

Read also: Best Automation Testing Tools

How Does Codeless Testing Work?

Let’s walk through how a modern codeless automation platform functions:

1. Test Creation

You begin by interacting with the application under test (AUT)—clicking, typing, or performing other actions. The tool records these actions and translates them into a structured test case. Some platforms also allow building tests visually—connecting steps like flowchart blocks or writing plain English test scenarios.

2. Object Recognition

Modern tools use AI-powered selectors or smart locators that adapt when UI elements change. This is crucial because flaky tests are often caused by fragile selectors.

3. Test Data Integration

Need to run the same test for different user types or datasets? Codeless tools can link to spreadsheets, databases, or data generators—without scripting loops or variables.

4. Execution & Scheduling

Tests can be executed locally, on the cloud, or across real devices and browsers. You can schedule them daily or hook them into CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps.

5. Reporting & Analysis

Post-execution, you get visual dashboards, logs, screenshots, and detailed analytics. Some tools even auto-file bugs in Jira when a test fails.

Which Tests Are Best Suited for Codeless Automation?

Not every test type fits codeless automation. It shines in areas like:

• UI Regression Tests

When your product UI evolves frequently, regression test coverage can grow exponentially. Codeless tools make it easier to keep up without burning out your dev team.

• Smoke Tests

Want to validate login, dashboard loading, or payment gateway availability with every build? Codeless tools help you get quick feedback without writing dozens of scripts.

• End-to-End User Journeys

For tests that simulate real-world user paths—like signing up, purchasing a product, and logging out—codeless testing maps these flows efficiently and understandably.

• Cross-Browser / Device Testing

Codeless platforms often integrate with device farms (like BrowserStack or Sauce Labs), letting you run the same test across multiple environments without duplication.

When Not to Use Codeless Automation

Despite its power, codeless isn’t a silver bullet.

Highly complex workflows involving encrypted data, chained APIs, or backend validations still need traditional scripting.

Performance testing, load testing, and deep service-layer tests are beyond the reach of most codeless tools.

If your team needs 100% control over logic, libraries, and exceptions, coded automation is still king.

Final Thoughts

Codeless automation is about making test automation accessible, collaborative, and scalable. It’s not about replacing developers—it's about enabling QA teams to move faster and contribute earlier.

When adopted strategically, codeless testing can reduce time-to-market, increase test coverage, and empower entire teams to contribute to quality.

Want to Get Started With Codeless Automation?

At Testrig Technologies, As a leading Automation Testing Company, we specialize in integrating codeless tools into robust testing ecosystems—balancing ease with enterprise-grade power.

📩 Reach out for a free strategy session, and let’s build a smarter, faster, more inclusive QA process—together.

[informativebloggggg]

GKV Software Solutions – Your Trusted Partner in Software Testing

At GKV Software Solutions, we bring a fresh and efficient approach to Quality Assurance (QA) outsourcing and outstaffing. With years of proven experience in software testing, we ensure that your product is not only functional but also reliable, scalable, and ready for market.

We pride ourselves on delivering seamless communication, regardless of time zones or geography, and providing clients with a free Proof of Concept to showcase our capabilities before any commitments are made.

Why Choose GKV Software Solutions?

✅ 20 Hours of Free QA Trial Experience our quality firsthand—risk-free. If you're satisfied with the results, simply continue with us.

✅ 80+ Successfully Delivered Projects From startups to enterprise clients, our portfolio reflects our versatility and technical expertise.

✅ 30+ Happy Clients Worldwide We build long-term relationships by consistently exceeding expectations.

✅ High Client Retention Rate 8 out of 10 new clients choose to rehire us, a testament to our quality, transparency, and dedication.

Our Core Values

Reliability – We deliver consistent, dependable QA solutions that you can trust.

Efficiency – We streamline testing processes to save time and optimize performance.

Expertise – Our experienced QA professionals bring in-depth knowledge across industries and technologies.

Let GKV Software Solutions help you build better, bug-free software. Contact us today to get started with your free QA trial.

[qasoftwaretesting01]

Types of Software Testing: Manual vs. Automation Testing Explained

In the ever-evolving world of software development, delivering a high-quality product is not just important—it’s essential. Before any application goes live, it must go through a rigorous process known as software testing. This ensures the software meets user expectations, is free of bugs, and performs flawlessly under real-world conditions. Two major types of testing dominate the field: Manual Testing and Automation Testing. While both have the same goal—identifying errors and ensuring quality—they differ significantly in approach, tools, and efficiency.

What is Manual Testing?

Manual testing is the most traditional form of software testing. It requires testers to execute test cases manually without the use of automation tools. Every function of the application is tested by human input and observation, making it especially useful for identifying user experience issues and design flaws.

Manual testing is often preferred in the following scenarios:

Exploratory Testing: When testers need to explore the application and find unexpected bugs.

Usability Testing: Ideal for evaluating the product’s user interface and ease of navigation.

Ad-hoc Testing: Performed without formal documentation or planning.

Though it can be time-consuming and labor-intensive, manual testing is essential for tests that require human intuition, such as checking visual components and user workflows.

What is Automation Testing?

Automation testing uses software tools and scripts to execute tests automatically. It is especially beneficial when dealing with large-scale projects, repetitive tasks, or frequent code changes. Once a test script is created, it can be reused multiple times, saving both time and cost.

Automation testing is commonly used for:

Regression Testing: To ensure new updates don’t break existing functionality.

Performance Testing: To evaluate system behavior under heavy loads.

Repetitive Test Cases: For repeated execution of similar scenarios during each development cycle.

Some widely used automation tools include Selenium, Appium, JUnit, and TestNG. These tools help improve testing speed and increase test coverage across various devices and platforms.

Manual vs. Automation Testing: Which is Better?

Both methods have their own strengths and weaknesses. Manual testing is best when human judgment and exploratory analysis are necessary. Automation testing, however, is unbeatable when speed, accuracy, and repeatability are critical. Most software testing services today use a hybrid approach—leveraging both manual and automation testing for optimal results.

Companies like PrimaQASolution, one of the emerging names in the field, are known for delivering robust and scalable software testing solutions that combine the best of both methods. By adopting such approaches, top software testing companies ensure their clients receive high-performing and reliable software products.

Software Testing in the Modern Landscape

As the demand for digital products grows, so does the importance of efficient software testing. Many software companies in the US are investing heavily in QA teams and automation tools to stay ahead in the competitive tech landscape. From startups to enterprises, businesses understand that well-tested software builds trust, drives growth, and reduces long-term costs.

Conclusion

Whether it's manual or automation, software testing remains a vital part of the development lifecycle. By understanding when and how to use each type, businesses can ensure their applications are not only functional but also user-friendly and bug-free. Choosing the right partner for software testing services, like PrimaQASolution, can make a world of difference in achieving that goal.

[qualityassurance11]

How AI Is Shaping the Future of Test Automation 

In today’s hyper-competitive digital environment, software development cycles are shorter, user expectations are higher, and the margin for error is razor-thin. To keep up, organizations have adopted test automation as a critical part of their quality assurance (QA) strategies. However, traditional test automation methods often fall short in scalability, adaptability, and efficiency. Enter Artificial Intelligence (AI).

AI is changing the game in software testing by introducing a new level of intelligence and automation. From smarter test creation to predictive analytics, AI is helping QA teams move beyond repetitive scripting into a more strategic and proactive role. This blog explores how AI is reshaping the landscape of test automation and what the future holds, especially with GhostQA, your go-to AI-powered test automation solution.

1. Smarter Test Case Generation

One of the most labor-intensive aspects of testing is creating and maintaining test cases. Traditionally, QA engineers would manually write test scripts based on requirements and user stories. With AI, this process becomes significantly faster and more intelligent.

Machine learning models can analyze source code, historical test data, and user behavior to generate relevant and high-coverage test cases. These AI-generated tests focus on the most commonly used features and identify edge cases that might otherwise go untested.

Example: Tools like Testim, Functionize, and TestCraft use AI to suggest test scenarios based on how users interact with the application, ensuring more meaningful test coverage.

2. Self-Healing Test Scripts

Test maintenance is another major hurdle in automation. A small change in the UI — like renaming a button or changing a field’s position — can cause test scripts to fail. AI addresses this issue through what are called self-healing tests.

Self-healing automation frameworks use machine learning to detect when a UI element has changed and automatically update the test scripts accordingly. This eliminates the need for testers to constantly fix broken tests, thereby improving stability and reducing downtime.

Example: AI-based platforms like Mabl and Testim recognize page elements not just by their static identifiers but also by their behavior, attributes, and surrounding context.

3. Predictive Analytics for Risk-Based Testing

AI can analyze past testing data and identify patterns that indicate where failures are most likely to occur. This is particularly helpful in large-scale enterprise environments where running every test case may be impractical.

By using predictive analytics, QA teams can prioritize testing efforts on high-risk areas of the application, focusing resources where they are most needed. This leads to faster feedback cycles and more efficient test planning.

Example: AI algorithms can analyze commit histories, previous defects, and test results to flag potentially risky code changes that require deeper testing.

4. Visual Validation with Computer Vision

Traditional automation frameworks struggle with UI validation, often relying on pixel-based comparisons that are brittle and error-prone. AI, specifically computer vision, brings a new dimension to visual testing.

AI-driven visual validation tools can detect layout shifts, misalignments, and color inconsistencies with far greater accuracy. They understand the structure of the user interface and can even validate responsiveness across devices and screen sizes.

Example: Applitools uses Visual AI to compare baseline and current UI states, highlighting only meaningful visual differences and ignoring minor, non-critical changes.

5. Natural Language Processing for Test Creation

AI-powered Natural Language Processing (NLP) makes it easier for non-technical team members to contribute to test automation. Instead of writing complex scripts, users can write test cases in plain English.

The AI engine interprets the intent and context of these instructions and converts them into executable test scripts. This democratizes the testing process and enhances collaboration between QA, development, and business stakeholders.

Example: Tools like TestRigor and Katalon Studio allow test scripts to be created using natural language, dramatically lowering the barrier to entry for test automation.

6. Continuous Testing in CI/CD Pipelines

In DevOps environments, continuous testing is essential to ensure rapid releases without compromising quality. AI enhances CI/CD pipelines by automatically analyzing build logs, detecting flaky tests, and providing intelligent insights.

AI-driven test orchestration platforms can dynamically decide which tests to run based on code changes, impact analysis, and historical failure rates. This leads to faster, more reliable deployments.

Example: Intelligent test orchestration tools like Launchable and TestGrid use AI to reduce test cycle times and prioritize execution based on test impact.

7. The Human + AI Collaboration

It’s important to emphasize that AI is not replacing human testers but augmenting their capabilities. While AI can handle repetitive, time-consuming tasks, human testers bring critical thinking, creativity, and domain expertise to the table.

By automating mundane aspects of testing, AI frees up QA teams to focus on exploratory testing, UX validation, and strategic decision-making. This synergy leads to better software and a more empowered QA workforce.

Conclusion

The integration of AI in test automation is no longer a futuristic concept — it’s happening right now. AI is making testing faster, smarter, and more efficient by automating routine tasks, improving accuracy, and enabling proactive quality management.

As tools continue to evolve, organizations that embrace AI-driven testing, like those provided by GhostQA, will have a significant competitive edge. The future of QA is not just automated; it’s intelligent.

At GhostQA, we’re committed to leveraging AI to streamline your testing process, helping you achieve faster, more reliable releases with cutting-edge technology.

By incorporating GhostQA into your test automation strategy, you can take advantage of the latest in AI-driven quality assurance tools to ensure your software is always at its best. Discover how we can optimize your QA efforts at GhostQA.

[georgemaries]

Which is the Best QA Automation Training Institute?

Introduction

Quality Assurance (QA) automation is a critical skill for professionals in the software industry. With increasing demand for efficient software testing, the need for QA testing online training has surged. Choosing the right QA automation training institute is crucial for mastering Software quality assurance training. In this guide, we will explore what makes a QA automation course effective, compare key factors in selecting an institute, and help you find the best online QA testing training provider.

Understanding QA Automation Training

What is QA Automation?

QA automation refers to the process of using automated tools and scripts to test software applications. Instead of relying on manual testing, automation improves speed, accuracy, and test coverage. QA automation helps organizations deploy software faster while ensuring that products meet high standards of functionality and performance.

Importance of Software Quality Assurance Training

Enhanced Career Opportunities: QA automation skills are in high demand across industries, making it a lucrative career choice.

Increased Efficiency: Automated testing reduces manual effort, accelerating software development cycles and reducing time-to-market.

Better Test Coverage: Automation enables extensive testing, ensuring robust and error-free software applications.

Industry Recognition: Employers prefer candidates with QA automation certifications from reputed institutes, making certified professionals more competitive in the job market.

Scalability: Automated testing allows companies to scale their testing efforts efficiently, accommodating the needs of complex and large-scale applications.

What to Look for in a QA Automation Course?

1. Comprehensive Curriculum

A well-structured QA automation course should cover:

Basic to Advanced Concepts: Understanding the fundamentals of software testing, test automation frameworks, and scripting languages such as Python, Java, and JavaScript.

Industry-Standard Tools: Training on Selenium, TOSCA, JUnit, TestNG, Appium, Cypress, and Postman.

Hands-on Experience: Practical projects and real-world applications with step-by-step guidance.

CI/CD Integration: Knowledge of Continuous Integration/Continuous Deployment (CI/CD) and how QA automation integrates into DevOps workflows.

API Testing: Covering REST API and SOAP UI testing to ensure backend reliability.

Performance Testing: Basics of JMeter and LoadRunner to analyze system performance under various conditions.

2. Hands-On Learning Approach

An effective software quality assurance training program should provide:

Live Instructor-Led Sessions: Interactive classes where students can ask questions in real-time.

Real-World Projects: Exposure to industry-relevant case studies that simulate actual workplace scenarios.

Assignments & Mock Tests: Regular practice tests and assignments to reinforce learning.

Capstone Project: Application of learned skills in a final project that mimics real-world testing challenges.

Debugging and Troubleshooting: Training in debugging failed automation scripts and resolving issues efficiently.

3. Flexibility and Accessibility

The best QA automation courses should offer:

Self-Paced or Live Online Classes: Options to choose between recorded video lessons and interactive live sessions.

24/7 Learning Support: Availability of mentors and instructors to resolve doubts.

Lifetime Access to Course Material: Ensuring continuous learning beyond the training period.

Cloud-Based Labs: Hands-on experience through cloud environments for running automation scripts.

4. Expert Trainers

Industry Experience: Trainers should have real-world experience working in QA automation roles.

Certifications & Credentials: Look for trainers with recognized certifications in Selenium, ISTQB, and Agile Testing.

Student Support & Mentorship: Personalized guidance on career paths, resume building, and interview preparation.

5. Certification and Job Assistance

A recognized QA testing online training provider should offer:

Industry-Recognized Certification: Enhances resume credibility and boosts employability.

Resume Building & Mock Interviews: Training on how to craft a compelling resume and prepare for job interviews.

Job Placement Assistance: Helping students connect with recruiters and hiring companies.

Comparison of Top QA Automation Training Institutes

H2K Infosys (Recommended Choice)

Comprehensive Training: Covers manual testing, Selenium, Java, and DevOps integration with detailed, real-world projects.

Hands-on Experience: Live projects and industry-relevant applications ensure practical knowledge.

Expert Trainers: Instructors with industry expertise and recognized certifications in QA automation.

Job Assistance: Resume-building sessions, interview guidance, and job placement support.

Flexible Learning: Both live online training and self-paced courses for convenience.

H2K Infosys is a reputable choice for those seeking software quality assurance training with real-world applicability.

Other Considerations for QA Training Institutes

Cost vs. Value: Compare pricing with course features, ensuring the best return on investment.

Student Reviews & Testimonials: Read past student feedback to gauge the effectiveness of training.

Demo Sessions: Attend free trial classes to assess the teaching methodology before enrolling.

Updated Course Material: Ensure that the curriculum is aligned with the latest industry trends and best practices.

How to Choose the Right QA Automation Course?

Step 1: Identify Your Goals

Are you a beginner looking to enter the QA field?

Are you an experienced tester looking to enhance automation skills?

Do you need a certification to boost job prospects?

Step 2: Research Course Offerings

Compare curricula, learning formats, and cost-effectiveness.

Check for hands-on project experience and real-world case studies.

Step 3: Check Student Reviews

Read feedback from previous learners about course effectiveness.

Look at job placement success rates of past students.

Step 4: Enroll and Start Learning

Join live classes or access recorded sessions.

Engage in hands-on projects and practical assignments.

Seek guidance from mentors and peers for a better learning experience.

Real-World Applications of QA Automation Training

QA automation is widely used across multiple industries. Here’s how learning QA automation can help:

E-commerce: Automating website and mobile app testing for smooth user experiences.

Healthcare: Ensuring medical software complies with industry regulations.

Banking & Finance: Enhancing security through automated functional and performance testing.

Retail & Logistics: Improving supply chain management by automating software testing processes.

Telecom & Networking: Ensuring seamless connectivity and software reliability.

A strong foundation in QA automation ensures career growth, job stability, and better earning potential.

Key Takeaways

QA Automation Training is Essential: Industry demand for skilled QA professionals is high.

Choose a Reputable Institute: Look for structured courses with hands-on learning opportunities.

H2K Infosys Offers a Strong Program: A great option with real-world projects, job assistance, and flexible learning formats.

Flexible Learning Options Matter: Ensure courses offer live training, recorded sessions, and mentor support.

Certification Adds Value: A recognized certification in QA automation can significantly improve job prospects.

Conclusion

Selecting the right QA automation training institute can shape your career. Enroll in a comprehensive QA automation course today and boost your professional growth. Start your journey in QA automation and secure a rewarding career in software testing!

[rahulacademy]

Sharing My Postman API Testing Success Story to Inspire Others

I want to share this with the hope that it may inspire others to begin their journey into the world of API testing with Postman. If you want to start your journey in Postman API testing and have a lot of doubts about where to begin, I hope my success story will guide and inspire you.

I’ll take you through my learning path: the challenges I faced, how I overcame them by using effective resources such as a step-by-step tutorial on API testing using Postman, and access to a number of free APIs to test in Postman.

Today, I am very confident in using Postman for testing and automation, and further would like to share all the tips and lessons that helped me on my way.

Why I Chose to Learn Postman API Testing

As a QA, I realized very fast that knowing Postman API Testing was not an option — it was a must-have. APIs are at the heart of all modern software systems, and testing them guarantees that programs function as intended.

Initially, I worked through manual testing techniques that were time-consuming and error-prone. I knew I needed a solution like Postman to make testing faster, more efficient, and more dependable.

But it wasn’t easy starting out; a little guidance and a flood of online resources often left me feeling lost. Many tutorials were either too complex or lacked real-world relevance. It was then that I found an excellent tutorial on using Postman for API testing that completely changed my approach.

It took very complicated Postman API Testing basics and broke them down into easy-to-digest steps and gradually went ahead to complex ideas.

How I Started: Using Postman Tutorial for Beginners

To every beginner, I recommend one thing — start with the postman tutorial for API testing for beginners. This is an excellent place for getting a sense of how one can go about doing everything from basic things:

Setting up Postman and starting with API requests.

Familiarity with different HTTP methods such as GET, POST, PUT, and DELETE.

Using Postman collections to manage your tests.

Among the very first things I learned was how to use free APIs for testing in Postman, where I could practice right away and without the need for any live projects. These APIs imitate real-life cases, which are just what one needs when beginning to work with API testing.

Examples of such APIs include open APIs for weather, false online businesses, and even imitation JSON data providers. These materials provided me the courage to explore without fear of damaging anything.

Overcoming Challenges: Learning Automation and Scripting

After becoming familiar with the fundamentals, I wanted to delve deeper into automation. I found that manual testing alone was insufficient for larger projects. That’s when I discovered an API testing Postman tutorial that focuses on automation. Here is what I learned:

Writing JavaScript programs to verify API answers.

Automate repeating tests with Postman’s capability.

Creation of environments and variables for the testing of APIs in various configurations.

It sounded overwhelming in theory, but the topics proved to be within the manageable learning curve by further decomposing them into subtopics. The tutorials that I followed included hands-on examples for each one of these topics. That helped me practice how to apply these techniques in a real project.

My Aha Moment: Putting to Practice What I Learned

The turning point in my journey occurred when I applied the knowledge I had gained to actual applications. Using the concepts I learned from a postman tutorial for API testing, I was able to:

Test live e-commerce platform REST APIs.

Automate repetitive test cases, saving hours manually.

Set up dynamic environments for staging, development, and production.

However, the most satisfying aspect was learning how to work with a free API for Postman testing, which made it relatively easy to practice and refine my skills. For example, I used public APIs to test workflows like user authentication, product search, and order placement.

Tips for a Beginner to Get Started with API Testing Using Postman

Here are some tips that worked really well for me when I took a dive to get started with Postman API testing:

Take a Good Beginning

Look out for a pretty beginner-friendly tutorial on Postman. This should have all the basics in as straightforward and simple a manner as possible. Examples with step-by-step explanations would be very impressive.

Free APIs for Practice

One of the best methods to boost confidence is to use a free API for Postman testing. Some excellent solutions are OpenWeatherMap, JSONPlaceholder, and TheCatAPI.

Learn the Fundamentals First

Before getting into automation, learn how to send requests, use various HTTP methods, and validate results.

Key Lessons I Learned Along the Way

Here are some of the main lessons that helped me a lot when learning:

Consistency is key: Even 30 minutes of Postman practice each day may bring about significant development.

Break down problems: If something appears too complicated, divide it into smaller, more manageable stages. For example, begin with basic GET queries before progressing to more sophisticated procedures.

Not skipping automation: Once you’ve mastered the fundamentals, move on to automation with Postman’s excellent API testing guide. Automation not only saves time, but it also ensures that tests are consistent.

Why I Recommend Postman for API Testing

If someone is interested in software testing or development, this can truly transform their experience. Here’s why:

It is both beginner-friendly and powerful enough for advanced testing.

You can practice using a free API for testing in Postman without any restrictions.

Learning was smooth, including with the community and other resources, such as the API testing tutorial for Postman.

Following the right resources and practicing regularly turned all struggles into a success story. Now, I proudly manage large projects that include API testing, and Postman is a key component of my work toolkit.

Final Words: Your Journey to Success

If I could give you one bit of advice, it would be: don’t be frightened to start. Everyone starts somewhere, and with the correct tools and resources, you’ll be surprised at how quickly you can learn Postman API Testing. Whether you’re working through a Postman lesson for beginners or digging into automation with a postman tutorial for API testing, each step gets you closer to your objective.

Remember that the learning process isn’t about perfection. Use free APIs for testing with Postman, practice often, and keep researching. I hope that my tale motivates you to take the first step toward mastering Postman API testing and achieving your career objectives.

Originally Article Publish at:- https://shorturl.at/iBsE4

[yethiconsulting]

Best Practices for Test Management in a Continuous Integration/Delivery (CI/CD) Environment

Introduction

Start by explaining the role of Continuous Integration (CI) and Continuous Delivery (CD) in modern software development. Emphasize that effective test management is crucial to maintaining quality in fast-paced, automated pipelines.

Early and Continuous Testing

Implement testing at every stage of the CI/CD pipeline, starting from the earliest phases. Unit, integration, and functional tests should be run continuously to catch defects early.

Automation Integration

Test automation is vital for CI/CD environments. Ensure that all repetitive tests, such as regression tests, are automated. Use tools like Selenium, Jenkins, and Travis CI to integrate automated tests into the pipeline.

Effective Test Case Management

Organize test cases in a way that they can be easily maintained and executed in CI/CD pipelines. Regularly review and update test cases to ensure they are relevant and up-to-date.

Use of Test Management Tools

Leverage test management tools like TestRail or Zephyr that integrate with CI/CD platforms. This ensures seamless tracking, reporting, and scheduling of tests within the automated process.

Monitoring and Reporting

Set up real-time monitoring and reporting for continuous feedback on test results. This helps in quickly identifying issues and improving collaboration between developers and QA teams.

Conclusion

Summarize by stating that efficient test management in a CI/CD environment enhances the speed and reliability of software delivery while maintaining high-quality standards.

[morganblogsblog]

Explore Playwright QA automation testing services to enhance the quality of your web applications. Leverage Playwright's advanced features for cross-browser testing, real-time reporting, and streamlined test automation to improve performance and reliability across your software projects.

[testrigtechnologies]

How Much ROI Can You Really Expect from Test Automation?

Test automation has become a cornerstone of modern software development, promising faster releases, higher quality, and reduced manual effort. But one critical question remains: What kind of Return on Investment (ROI) can you realistically expect from test automation?

While many organizations jump into automation expecting massive cost savings, the reality is more nuanced. The ROI of test automation depends on multiple factors, including the maturity of your testing processes, the complexity of your application, and how well automation is implemented.

What is ROI in Test Automation?

ROI measures the financial benefit gained from an investment relative to its cost. For test automation, ROI is typically calculated based on:

Cost savings (reduced manual testing effort, fewer defects in production)

Efficiency gains (faster test execution, quicker feedback loops)

Quality improvements (fewer escaped defects, better customer satisfaction)

However, ROI isn’t just about cutting costs—it’s also about enabling business agility (faster time-to-market) and reducing risk (avoiding costly production failures).

Key Factors That Influence Test Automation ROI

Not all automation efforts yield the same ROI. Here are the biggest factors that determine success:

1. Test Selection & Coverage

Automating the right tests (high-value, repetitive, regression-prone tests) delivers the best ROI.

UI-based tests are slower and more fragile, while API/unit tests provide faster feedback.

High test coverage ≠ high ROI—focus on critical paths rather than 100% automation.

2. Maintenance Costs

Automated tests require ongoing maintenance (updates due to UI changes, new features).

Poorly designed tests (e.g., flaky, brittle scripts) increase costs instead of reducing them.

3. Tool & Framework Choice

Open-source tools (Selenium, Cypress) reduce licensing costs but require more expertise.

Commercial tools (Tricentis, UFT) may offer better support but at a higher price.

Low-code/no-code tools (like Katalon) can speed up automation but may lack flexibility.

4. Team Expertise

Skilled automation engineers reduce script failures and improve maintainability.

Lack of expertise leads to higher initial costs and lower long-term ROI.

5. Project Lifespan & Frequency of Releases

Short-term projects may not justify automation costs.

Long-term projects with frequent releases see the highest ROI.

How to Maximize Your Test Automation ROI

Start Small, Scale Smart

Automate high-impact, repetitive tests first (login, checkout flows).

Avoid boiling the ocean—focus on ROI-positive areas.

Prioritize Maintainability

Use Page Object Model (POM) and modular frameworks.

Regularly refactor and clean up flaky tests.

Integrate with CI/CD

Run automated tests on every build to catch bugs early.

Shift-left testing reduces cost of defects.

Measure & Optimize Continuously

Track test stability, execution time, defect escape rate.

Adjust automation strategy based on data.

Invest in Training

Upskill manual testers in automation (Selenium, scripting).

Avoid vendor lock-in by using open standards.

Conclusion

Test automation can deliver strong ROI—but only if implemented strategically. The key is to: ✔ Automate the right tests (not all tests). ✔ Account for maintenance costs (ROI isn’t just setup savings). ✔ Focus on long-term gains (not immediate cost-cutting).

Want to Maximize ROI from Automation?

The key is to automate the right tests and use the right tools. If done right, test automation can bring huge long-term benefits.

As a leading Automation Testing Company, At Testrig Technologies, we help companies:

Choose the right test automation strategy

Set up cost-effective frameworks

Save time and reduce testing costs

What’s your experience with test automation ROI? Let’s discuss in the comments!

[fortunatelycoldengineer]

🚀 Selenium vs QTP ⚖️

Confused between Selenium and QTP for automation testing? 🤔 Here's a quick comparison:

🕸️ Selenium: ✅ Supports only web-based apps ✅ Low resource consumption ✅ Works with multiple programming languages like Java, Python, JavaScript, and more ✅ Cross-platform support for Windows, Mac, Linux, iOS, and Android ✅ Requires external tools for test reports

💻 QTP: ✅ Supports both web and desktop applications ✅ High resource consumption ✅ Uses VBScript ✅ Only available for Windows ✅ Built-in test report generation

Choose the right tool for your testing needs 🔍

🔗 Learn more: https://bit.ly/4hOdPNT

[qprofessionals]

Automation vs. Manual Testing – Which One Do You Need?

When it comes to software testing, choosing between automation and manual testing can be challenging. Both have their advantages, and at Quality Professionals, we help businesses find the perfect balance between the two.

Manual testing is ideal for exploratory, usability, and ad-hoc testing, where human intuition and creativity are essential. On the other hand, automation testing is perfect for repetitive tasks, regression testing, and performance evaluations, saving time and increasing efficiency.

A successful QA strategy incorporates both approaches to ensure software reliability, speed, and cost-effectiveness. Not sure which testing method suits your project? Let’s discuss your needs and create a customized QA plan for your business. Reach out to Quality Professionals today!