Insights - Bugasura Blog

Insights

  • Stop Wasting Cycles: Building a Smart, Data-Driven Regression Testing Strategy
    7 minute read Every software team has experienced this moment: a release that looked stable suddenly breaks functionality that worked perfectly just days ago. Features regress, critical flows fail, and teams scramble to understand what went wrong. More often than not, the root cause is not a lack of testing effort but inefficient regression testing. Regression testing in software testing exists to protect teams from exactly this scenario. Yet many organizations still treat regression as a blunt instrument: rerun everything, hope nothing breaks, and accept delays as inevitable. This approach wastes cycles, consumes resources, and still leaves gaps. A modern regression testing strategy […]
  • Stop Guessing: Leveraging Requirements Gathering and Analysis for Effective Test Management
    7 minute read In software delivery, uncertainty compounds quickly. A vague requirement turns into a misunderstood feature, which then becomes a failed test case, followed by rework, delays, and difficult conversations at release time. This is why a sound understanding of what requirements gathering is and approaching it with intent becomes critical for Business Analysts, Product Owners, Product Managers, and Project Managers alike. Requirements gathering is not just about writing down what stakeholders say. It is the discipline of identifying needs, clarifying expectations, resolving ambiguity, and translating intent into something that can be built and tested with confidence. When done well, it creates […]
  • Why Explainable AI Is Critical for Trust and Efficiency in Automated Test Case Generation
    6 minute read As AI becomes deeply embedded in modern quality engineering, automated test case generation is no longer a novelty but a necessity. Teams rely on AI to generate test cases at scale, prioritize scenarios, and reduce manual effort across fast-moving release cycles. But as adoption grows, so does a fundamental concern among senior QA leaders and architects: Can we trust AI-generated test decisions we don’t understand? This question has placed Explainable AI (XAI) at the center of enterprise QA conversations. In environments where automated test case generation influences release readiness, coverage confidence, and defect risk, explainability is no longer optional. It […]