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  • 标题:A CUCKOO SEARCH BASED PAIRWISE STRATEGY FOR COMBINATORIAL TESTING PROBLEM
  • 本地全文:下载
  • 作者:ABDULLAH B. NASSER ; YAZAN A. SARIERA ; ABDUL RAHMAN A. ALSEWARI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2015
  • 卷号:82
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Combinatorial Testing (CT) is a sampling technique to generate test cases with a focus on the behavior of interaction system's components with their collaborators. Given its effectiveness to reveal faults, pairwise testing has often been chosen to perform the required sampling of test cases. The main concern for pairwise testing is to obtain the most optimal test sets (i.e. pairwise dictates that every pair of input values is covered by a test case at least once). This paper discusses the design and implementation a new pairwise strategy based on Cuckoo Search, called Pairwise Cuckoo Search strategy (PairCS). PairCS serves as our vehicle to investigate the usefulness of Cuckoo Search for pairwise testing.
  • 关键词:Pairwise testing; Cuckoo Search; Test suite Generator; Software Testing; Combinatorial Testing Problem.
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