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  • 标题:A GENETIC ALGORITHM FOR REGRESSION TEST CASE PRIORITIZATION USING CODE COVERAGE
  • 本地全文:下载
  • 作者:Arvinder Kaur ; Shubhra Goyal
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2011
  • 卷号:3
  • 期号:05
  • 页码:1839-1847
  • 出版社:Engg Journals Publications
  • 摘要:Regression testing is a testing technique which is used to validate the modified software. The regression test suite is typically large and needs an intelligent method to choose those test cases which will detect maximum or all mfaults at the earliest. Many existing prioritization techniques arrange the test cases on the basis of code coverage with respect to older version of the modified software. In this approach, a new Genetic Algorithm to prioritize the regression test suite is introduced that will prioritize test cases on the basis of complete code coverage. The genetic algorithm would also automate the process of test case prioritization. The results representing the effectiveness of algorithms are presented with the help of an Average Percentage of Code Covered (APCC) metric.
  • 关键词:Genetic Algorithm; Prioritization; Regression Testing; Automation Testing.
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