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  • 标题:OPTIMIZED TEST SUITE GENERATION USING TABU SEARCH TECHNIQUE
  • 本地全文:下载
  • 作者:Geetha Devasena M.S., Valarmathi M.L
  • 期刊名称:International Journal of Computational Intelligence Techniques
  • 印刷版ISSN:0976-0466
  • 电子版ISSN:0976-0474
  • 出版年度:2010
  • 期号:568
  • 页码:10-14
  • 出版社:Bioinfo Publications
  • 摘要:Software testing is inescapable activity of software development and crucial to the software quality. It is widely deployed by programmers and tester but it is difficult due to the complexity of software. The program with the moderate complexity cannot be tested completely. Innovative methods are emerging to perform testing as a whole and unit testing in particular with minimum effort and time. Unit testing is mostly done by developers under a lot of schedule pressure since the software companies find a compromise among functionality, time to market and quality. Thus there is a need for reducing unit testing time by optimizing and automating the process. Test suite generation is an errorprone, tedious and time consuming part of unit testing. A novel technique is proposed to automatically generate test cases from the input domain using metaheuristic search technique tabu search for branch coverage criteria with respect to cyclomatic complexity measure.
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