A coverage relationship model for test case selection and ranking for multi-version software

Wei Tek Tsai, Xinyu Zhou, Raymond A. Paul, Yinong Chen, Xiaoying Bai

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations

Abstract

Testing a group of software artifacts that implement the same specification is time consuming, especially when the test case repository is large. In the meantime, some of test cases may cover the same aspects in the software under test, and thus it is not necessary to apply all the test cases. This paper proposes a Model-based Adaptive Test (MAT) case selection and ranking technique to eliminate redundant test cases, and rank the test cases according to their potency and coverage. This technique can be applied in various domains where multiple versions of an application are available for testing, such as web service group testing, n-version applications, regression testing, and specification-based application testing. MAT is a statistical model based on earlier testing results, and the model can accurately determine the next sets of test cases to minimize the testing effort. It can be applied to testing of multi-versioned web services, and the results shows that MAT can reduce testing effort while still maintain the effectiveness of testing.

Original languageEnglish (US)
Title of host publicationHigh Assurance Services Computing
PublisherSpringer US
Pages285-311
Number of pages27
ISBN (Print)9780387876573
DOIs
StatePublished - Dec 1 2009

ASJC Scopus subject areas

  • Computer Science(all)

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