Application of Software Testing using Genetic Algorithm
نویسندگان
چکیده
Different types of software testing techniques and methods have been projected for taking care of these issues. Use of evolutionary algorithms for usual test generation has been an area of interest for many researchers. Genetic Algorithm (GA) is one such type of evolutionary algorithms. In this research paper, we current a study of Genetic Algorithm approach for addressing the different issues encountered during software testing. This paper presents a method for optimizing software testing effectiveness by identifying the mainly critical path clusters in a program. We are increasing a more selective approach to testing by focusing on those parts that are largely critical so that these paths can be tested initial. By identifying the large amount critical paths, the testing effectiveness can be improved.
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تاریخ انتشار 2015