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  • 标题:Regression Test-Selection Technique Using Component Model Based Modification: Code to Test Traceability
  • 本地全文:下载
  • 作者:Ahmad A. Saifan ; Mohammed Akour ; Iyad Alazzam
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2016
  • 卷号:7
  • 期号:4
  • DOI:10.14569/IJACSA.2016.070411
  • 出版社:Science and Information Society (SAI)
  • 摘要:Regression testing is a safeguarding procedure to validate and verify adapted software, and guarantee that no errors have emerged. However, regression testing is very costly when testers need to re-execute all the test cases against the modified software. This paper proposes a new approach in regression test selection domain. The approach is based on meta-models (test models and structured models) to decrease the number of test cases to be used in the regression testing process. The approach has been evaluated using three Java applications. To measure the effectiveness of the proposed approach, we compare the results using the re-test to all approaches. The results have shown that our approach reduces the size of test suite without negative impact on the effectiveness of the fault detection.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Regression Test; Regression Test selection technique; Meta-Model; Models Traceability
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