A Novel Approach to Test Suite Reduction Using Data Mining Approach

Improving Test Case Reliability through Data Mining

Abstract

The paper analyzes knowledge mining of the test case System. Widespread use of test case systems and explosive growth of databases require traditional manual data analysis to be coupled with methods for efficient computer-assisted analysis It is very important for us to utilize this kind of information effectively. Today, the design of test case with enhanced reliability is a real challenge as it needs expert designers with perfect knowledge about the whole system and also the traditional test case generation approach faces a challenge in test results analysis, because of the difference between the generated test cases and the expected results. So, it will be better if we could establish a method for automatic test case mining based on both program structures and the functional requirements in specifications. Mining approach can be used to have a perfect knowledge about the whole system. In order to improve the accuracy and efficiency of knowledge acquisition, it establishes a knowledge-mining model.