文章基本信息

标题：Dynamic Generation of Test Cases with Metaheuristics
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作者：L. Lanzarini ; J. P. La Battaglia
期刊名称：Journal of Computer Science and Technology
印刷版ISSN：1666-6046
电子版ISSN：1666-6038
出版年度：2010
卷号：10
期号：2
出版社：Iberoamerican Science & Technology Education Consortium
摘要：The resolution of optimization problems is of great interest nowadays and has encouraged the development of various information technology methods to attempt solving them. There are several problems related to Software Engineering that can be solved by using this approach. In this paper, a new alternative based on the combination of population metaheuristics with a Tabu List to solve the problem of test cases generation when testing software is presented. This problem is of great importance for the development of software with a high computational cost and which is generally hard to solve. The performance of the solution proposed has been tested on a set of varying complexity programs. The results obtained show that the method proposed allows obtaining a reduced test data set in a suitable timeframe and with a greater coverage than conventional methods such as Random Method or Tabu Search
关键词：Software Testing; Evolutionary ;Testing; Particle Swarm Optimization; ;Evolutionary Algorithms; Metaheuristics