The Impact of Software Testing AI on Quality Assurance
Quality teams face a paradox: more apps, more permutations, tighter release windows. software testing ai resolves that tension by automating what scales (design, selection, maintenance) while elevating human judgment where it matters (risk, exploration, storytelling). What changes with AI—concretely Story-to-tests generation: models propose positive/negative paths, boundaries, and datasets from well-written acceptance criteria. Impact-based selection: ML … Read more