期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：4
出版社：S.S. Mishra
摘要：Regression Testing is primarily a maintenance activity that is performed to ensure the validity of modified software. But due to time and cost constraint entire test suite can't be executed. Thus, it becomes a necessity to reduce the test case suite and select a subset of test cases from test suite that can be executed in minimum time and has the ability to cover all the faults. A new hybrid approach based on bee colony optimization and genetic algorithm was proposed to redu ce the test suite. This paper presents a tool named HBG_TCS that implements the proposed approach and the study is done to evaluate the correctness and efficiency of the proposed tool and a comparison of the proposed approach is made with the ant colony optimization.
关键词：Regression Testing; Test Case Selection; Genetic Algorithm (GA); Bee Colony Optimization (BCO); Ant Colony ;Optimization (ACO).
