A preliminary study of automatic generation of credibility test cases based on immune algorithm

As a part of software non-functional testing, credibility testing is an important means to ensure the quality of software. However, there are few researches on the credibility testing method at present. In this paper, a new method of generating Credibility test cases is proposed based on immune algorithm. By mining trustworthy requirements and combining with immune algorithm, a test case population is generated. Based on the result of test case, the Application Behavior Declaration is improved and a test case library is established. The conclusion proves that the trustworthy test cases based on immune algorithm can cover the credibility requirements and improve the testing efficiency.