QA
Articles
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. |
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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. |
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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. |
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Real-Time Data Streaming Using Kafka Kafka testing emerges as a linchpin in the construction of robust, reliable data streaming applications. Whether you’re scrutinizing producers, consumers, or the entire data conduit, the bedrock of a well-structured testing strategy proves instrumental in ensuring the optimal performance of your Kafka-driven system in production. |