A TestGuild YouTube episode (host JoeBot) interviewing Wilhelm and Daniel from Powersoft about optimizing manual regression testing. The discussion and a live demo focus on replacing guesswork with data-driven test selection—using code coverage and test impact analysis to run far fewer manual tests while preserving confidence.
Hey, is your team still slogging through massive regression suites, feeling the pressure of shortened release cycles, or wondering how to trust what's safe to skip? If so, this episode is going to save you hours, maybe even days on every release. Today I'm joined by Wilhelm and Daniel from powersoft, and we're digging into something every tester deals with, but very few actually optimize manual regression testing. Listen and discover how to run fewer tests while staying confident. Nothing critical slipped through. Why are most teams still guessing what to test? And how can data finally replace those guesses? And how do you know exactly what manual tests or automated tests are impacted by each code change? Wilhelm even walks us through a real world example using powersoft's continuous testing platform, showing how code coverage and test impact analysis completely reshapes the regression process.
