作者: Shaukat Ali Khan , Aamer Nadeem
DOI: 10.1007/978-3-319-01796-9_12
关键词:
摘要: Automated test data generation is a challenging problem for researchers in the area of software testing. Up until now, most work on at unit level. Until level involves execution path where interaction with other components minimum. Test testing single and there no usage formal actual parameters. The automated becomes very when we move to levels including integration system At level, variables are passed as arguments change their names; also multiple paths executed from different ensure proper functionality. Recently evolutionary approaches have been proven powerful tool generation. In this paper, proposed novel approach coupling based using particle swarm optimization. research Our takes input, containing sub paths, generates We architecture automation our approach. future, will implement perform experiments prove its significance.