期刊名称：International Journal of Software Engineering & Applications (IJSEA)
印刷版ISSN：0976-2221
电子版ISSN：0975-9018
出版年度：2017
卷号：8
期号：2
页码：121
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Software testing is a critical and labor-intensive activity in software engineering. Much research has beendone to help automate test case generation. This research proposes a new approach to structural test casegeneration. It uses a specialized genetic algorithm called Dynamic-radius Species-conserving GeneticAlgorithm (DSGA) to find a structurally complete set of test cases for the Triangle Classification algorithm.DSGA is a Niche Genetic Algorithm (NGA) that uses a short-term memory structure to store optima. Eachindividual of the NGA represents the inputs for a test case. The fitness function encourages the algorithm tolocate test cases that cover large areas of the structure of the program. A shared fitness encourages theNGA to locate other areas of the structure. DSGA is a novel approach to structurally complete test casegeneration
关键词：Niche Genetic Algorithm; Genetic Algorithm; Software Testing; Automated Test Case Generation;Structural Testing
