A Method of a Hybrid Test Strategy

This study analyzed the formulation process of existing testing strategies in the iterative version laboratory and identified significant limitations in the current methods: first, excessive reliance on impact analysis from upstream development, lacking independent verification dimensions; second, the presence of numerous repetitive testing links, leading to redundant human and time costs; third, a high degree of dependence on individual testing experience in strategy formulation, which makes it difficult to identify hidden defects and increases the risk of missed tests during execution. To address these issues, this paper proposes a method of a hybrid testing strategy, optimized through the collaboration of three core modules: The change impact analysis module inherits the original testing strategy framework and can cover and resolve most known defects; The source code (including rule base) comparison module, through in-depth code-level comparison, can detect and address known code issues and potential unknown defects; The data configuration verification module fully covers parameter/data configuration defects and advances the verification process to enable early exposure of problems. These three modules mutually verify and complement each other, making the testing strategy more accurate and comprehensive. It can not only achieve precise testing, resolve unknown hidden defects, but also reduce the rate of missed tests. Most importantly, this hybrid strategy adds security level labels to test cases for the first time, realizing dynamic optimal allocation of testing resources by prioritizing and determining the importance of cases. This not only saves human and time costs but also achieves dual improvements in testing efficiency and quality.