QA

Articles

These Challenges Should Not Be an Issue for QA Teams Anymore These Challenges Should Not Be an Issue for QA Teams Anymore

QA teams play a vital role in ensuring software quality, customer satisfaction, and efficient development. However, challenges such as limited testing talent, poor documentation, and lack of automation persist. AI-powered tools can address these issues by automating repetitive tasks, generating documentation, and improving test efficiency. By leveraging AI, QA teams can enhance their effectiveness and contribute to the success of software development projects.

Norbert Wede's picture Norbert Wede
Rethinking Our Job as Software Testers: We Should Try to Test as Little as Possible Rethinking Our Job as Software Testers: We Should Try to Test as Little as Possible

DevOps transforms testing from finding all bugs to prioritizing critical ones. Risk assessment helps testers focus on high-impact areas. Testing can be pre-release (critical issues), post-release (resolvable issues), or out-of-scope (low-impact). Testing should align with business goals and user stories. Data science helps measure and improve software quality.

Joel Montvelisky's picture Joel Montvelisky
Embracing Quality: The Integral Role of Software Testing in Development Embracing Quality: The Integral Role of Software Testing in Development

Software testing is a critical phase in software development that ensures high-quality, reliable software. It involves a comprehensive range of activities to evaluate every aspect of a software product, from unit testing to continuous testing. By identifying and addressing issues early on, software testing helps to deliver software that meets user expectations and functions seamlessly. This not only benefits users but also fosters innovation and trust in technology.

Deepika Kale's picture Deepika Kale
Don’t Let Load Testing Lead You Astray Don’t Let Load Testing Lead You Astray

While traditional, "closed system" models might seem familiar, they miss the unpredictable nature of real user arrivals. This article highlights how open system models, which mimic real-world user behavior, expose performance bottlenecks at high load that closed models can't catch. Remember, arrival rates, not virtual user counts, are the key to unlocking accurate load testing results.

Roger Durham's picture Roger Durham

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