Deletion and selection model for test case selection

Abstract

Deletion and selection model is planned for improving the ability of selecting the relevant test cases of the modified programs by comparing the outcomes with the well-known traditional methods, which are random, dataflow, slicing, model based, code based, and coverage based analysis. This is because after adapting the programs for several times, numbers of test case will increase that can drop the whole performance of the new version. The problems are time consuming and producing bugs and other failures when using the updated software. The proposed model consists two main algorithms, which are deletion and selection regarding classifying types of the requirements. According to this, the percent of reducing the size by using the proposed model is better than the traditional methods. Besides, percent of finding bugs of the six comparative studies are higher than the offered technique approximately 55%. Moreover, the efficiency of applying the proposed method is greater than the existing technique as about 86 %.