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How & Why I Use Modern Tech Like its 2004

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Key QA Metrics: How to Calculate, Implement, and Use Them Effectively
The other day I was chatting with a tester I know and we had this dialog: After this dialog, I thought about how the metrics-related processes were set up in some of my projects: In one of them, only the developer was notified about critical bugs on the prod, who had to fix the bug urgently. As a result the bug is fixed, but the tester will not even be aware of this bug. This process makes it impossible to collect metrics related to bugs In another project, not all tasks are tested by the tester. For example, some trivial changes may be rolled out in the release even without notifying the tester, although in fact these changes may cause some regression bugs And on another project, where all tasks and bugs go through the tester — there are no metrics at all, because there was no sense in them specifically for that product. And that’s okay Each project is a separate story. Metrics can be a tool that aligns processes and helps the team, but they are definitely not universal or even always needed. In this article, I want to talk about some good metrics, namely how to calculate, implement and use them in the future. Let’s go! 1. Test Coverage of Requirements What is this metric? This metric will reflect how much of the requirements are covered by tests and helps to assess test completeness and minimize the risk of missing critical bugs. How is it calculated? Read more: https://medium.com/@yuliashaifele/key-qa-metrics-how-to-calculate-implement-and-use-them-effectively-6d5ab4517e40
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10 Best Software Testing Tools For QA
Quality Assurance (QA) testing tools are the tools that are used to automate the testing process of software applications. Therefore, QA is designed to make sure that every new software release meets the requirements of the project and provides a good user experience. This article will provide you with a detailed explanation of the 10 Best Software Testing Tools For QA that are used to automate repetitive testing tasks , increase the efficiency of testing, and give accurate test results to the developers. What is a QA Software Testing Tool? QA refers to Quality Assurance in software development . The QA tools are designed to ensure that each of the new software meets the requirements of the projects and it provides a better user experience but some of these tools also consist of a few bugs or some defects in them. These Quality Assurance testing tools help to manage the task management, performance testing, and functional testing of the software. These QA testing tools help the software developers write appropriate test cases and execute these test cases. Why Do We Need QA Automation Testing? In today’s software world, manual testing falls short. That’s where QA automation steps in, revolutionizing testing strategies. It boosts efficiency and speed, catching bugs early and ensuring consistent testing. Automation covers more ground, freeing up resources for complex tasks and eliminating tedious regression testing. It’s essential for CI/CD pipelines, providing instant feedback and maintaining quality. Plus, it enables realistic testing scenarios and fosters collaboration. Automation isn’t replacing manual testing; it’s a powerful ally for delivering top-notch software quickly. 10 Best Software Testing Tools for QA There are many Software testing tools available for QA . Some of the top 10 Software testing tools for QA are mentioned below: Table of Content 10 Best Software Testing Tools for QA 1. QA Wolf 2. Autify 3. Endtest 4. Tricentis Testim 5. Kobiton 6. Test Sigma 7. Test Rigor 8. BugBug 9. Mabl 10. Testing Whiz Read more: https://medium.com/@lognoroy2000/10-best-software-testing-tools-for-qa-e4b305d1021a
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Spot on
Dots illustration by the author. Almost thirty years ago, Steve Jobs gave an interview to Wired where he came up with one of my all-time favourite quotes about creativity: “Creativity is just connecting things. When you ask creative people how they did something, they feel a little guilty because they didn’t really do it, they just saw something. It seemed obvious to them after a while. That’s because they were able to connect experiences they’ve had and synthesize new things. And the reason they were able to do that was that they’ve had more experiences or they have thought more about their experiences than other people.” As someone who works in design, this is a concept I’ve thought about a lot over the years, and this is how I visualise it: Imagine a huge wall covered in thousands of dots. Each dot represents a piece of knowledge that you’ve acquired. In your hand you have a ball of string, and you wind the string between the dots to create patterns. Connecting the dots in a new way is creativity . Unfortunately, you find yourself recreating patterns that other people have created before. “ Everything original has already been discovered ”, you think. Perhaps you’re right. With a limited number of dots, after a while, you end up weaving the same old patterns. The answer, then, is to add a new dot. Ideally it is something unexpected that doesn’t fit with the other dots at all. And voila! Suddenly you have the ability to weave a new pattern. Read here: https://medium.com/user-experience-design-1/enhancing-your-design-skills-by-adding-more-dots-afcd9969792d
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Top 5 QA Automation Trends in 2024 Era
T he year 2024 is set to uncover the QA automation trends in 2024 that are more integrated, intelligent, and impactful than ever. Recent studies project a staggering 23% annual growth in test automation until 2024. This statistic is a testament to the increasing reliance on and trust in automation. This article aims to delve deep into the trends, benefits, and opportunities that define the 2024 automation QA landscape. We will explore how businesses can leverage these advancements to optimize operations, enhance product quality, and stay ahead in the competitive digital arena. Are you eager to learn more about how automation can transform your business in 2024 and beyond? Keep reading to uncover strategic approaches to automation that can bring your business to new heights. Join us on this journey into the future of automation and explore how our expertise at QATestLab can be your guiding force. QA Automation Trends in 2024: Shaping the Future of Software Development With the entering of a new decade, a significant transformation in QA automation is predicted. The trends highlight the growing importance of automation in delivering high-quality, efficient, and user-centric software solutions. Here, we explore the key trends in QA automation that are set to define the technological landscape in 2024. 1. AI and ML Integration in Automation Testing Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing how we approach automation testing. In 2024, these technologies are expected to play a central role in making testing processes more intelligent and adaptive. AI and ML algorithms are employed to analyze test results, predict potential issues, and optimize testing strategies. This integration leads to smarter, more efficient, and more accurate testing processes, reducing the time and resources required for quality assurance. Read more: https://medium.com/@qatestlab/top-5-qa-automation-trends-in-2024-era-fb37f3795eeb
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