Artificial intelligence (AI) and machine learning (ML) are powerful tools in the realm of continuous testing the SDLC.
Artificial intelligence (AI) and machine learning (ML) can play a transformative role across the software development lifecycle, with a special focus on enhancing continuous testing (CT). CT is especially critical in the context of continuous integration/continuous deployment (CI/CD) pipelines, where the need for speed and efficiency must be balanced with the demands for quality and security. AI/ML contributes by automating complex tasks, predicting potential issues before they occur and providing actionable insights, thereby reducing manual efforts and enabling more strategic use of human resources.