Artificial Intelligence (AI) enables higher efficiency, accuracy, and scalability in software testing than traditional approaches. AI-based QA uses sophisticated algorithms to facilitate test case generation, defects detection, and predictive analysis with less human intervention but faster. However, using AI within QA workflows is not just sunlight and rainbows. There are inherent complexities in implementing it …
Test Automation Maturity Model
In today’s competitive market, organizations must deliver high-quality software products at lightning speed. Test ...