Prioritizing Precision: Innovative Approaches to QA Test Case Selection

The article discusses the importance of precise test case selection in software testing, emphasizing quality over quantity. It highlights various challenges faced during test case selection and provides innovative approaches to overcome these challenges. These approaches include risk-based selection, test case clustering, exploratory testing, machine learning and AI, continuous testing, model-based testing, and heuristic rules approach. The article also offers suggestions on how to implement these models effectively in the testing process. Implementing innovative approaches for test case selection can lead to increased efficiency, better product quality, faster development cycles, and improved customer satisfaction.