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：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：Regression testing is a maintenance activity that is performed to ensure the validity of modified software. The activity takes a lot of time to run the entire test suite and is very ex pensive. Thus it becomes a necessity to choose the minimum set of test cases with the ability to cover all the faults in minimum time. This research paper presents a new test case reduction hybrid technique based on Genetic algorithms(GA) and Ant colony optimization (ACO) .GA is an evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutat ion, selection, and crossover. ACO is a swarm intelligence algorithm. The proposed approach adopts the behaviour of ants to solve the given problem. It proves to be optimistic approach which provides optimum results in minimum time.
关键词：Regression testing; genetic algorithm (GA); Ant colony optimization (ACO).
