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A case study of adaptive combinatorial testing

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Abstract

The ability of Combinatorial Testing (CT) to detect and locate the interaction triggered failure has been well studied. But CT still suffers from many challenges, such as modeling for CT, sampling mechanisms for test generation, applicability and effectiveness. To overcome these issues of CT, adaptive combinatorial testing (ACT) is proposed in this paper, which improves the traditional CT with a well established adaptive testing method as the counter part of adaptive control and aims to make CT more flexible and practical. ACT can significantly enhance testing quality, software reliability and support testing strategy adjustment dynamically. To support further investigation, a preliminary form of concrete strategy for ACT is given as a heuristic guideline, and a case study is presented to illustrate its operations.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE 37th Annual Computer Software and Applications Conference Workshops, COMPSACW 2013
Pages47-52
Number of pages6
DOIs
StatePublished - 2013
Event2013 IEEE 37th Annual Computer Software and Applications Conference Workshops, COMPSACW 2013 - Kyoto, Japan
Duration: 22 Jul 201326 Jul 2013

Publication series

NameProceedings - International Computer Software and Applications Conference
ISSN (Print)0730-3157

Conference

Conference2013 IEEE 37th Annual Computer Software and Applications Conference Workshops, COMPSACW 2013
Country/TerritoryJapan
CityKyoto
Period22/07/1326/07/13

Keywords

  • Adaptive Combinatorial Testing (ACT)
  • Adaptive Testing (AT)
  • Combinatorial Testing (CT)

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