Comprehensive quality engineering and testing are a must for today’s software-driven organizations. Perhaps not surprisingly, generative artificial intelligence (Gen AI) is emerging as a cutting-edge component of the quality and testing phase of the software development lifecycle.
However, long-term success in software-testing automation is about establishing the necessary organizational will and resources. In short, to paraphrase management guru Peter Drucker’s oft-cited phrase: Culture eats software-quality strategies for breakfast.
Also: The data suggests gen AI boosts software productivity – for these developers
“The debate on which quality engineering and testing activities will benefit most from Gen AI remains unresolved,” said the co-authors of an OpenText study involving 1,755 tech executives state. The survey, released by Capgemini and Sogeti (part of the Capgemini Group), pointed to a growing focus on leveraging Gen AI “for test reporting and data generation over test-case creation.”
AI creates an answer, or at least a partial answer, to many nagging software quality issues. Software …