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

W. T. Tsai, Xinyu Zhou, Raymond A. Paul, Yinong Chen, Xiaoying Bai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

Abstract

Testing a group of software artifacts that implement the same specification can be time consuming, especially when the test case repository is large. In the meantime, some test cases may cover the same aspects in the software, 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 duplicate test cases, i.e., test cases with the similar coverage, and rank the test cases according to their potency and coverage. This technique can be applied in various domains where multiple versions of applications are available to test, such as web service testing, n-version applications, regression testing, and standard-based testing. The MAT is based a statistical model based on earlier testing results, and the model can determine the next sets of test cases to minimize the testing effort. The MAT is then applied to testing of multi-versioned web services and the results shows that the MA T can reduce testing effort while still maintain the effectiveness of testing.

Original languageEnglish (US)
Title of host publicationProceedings - 10th IEEE International Symposium on High Assurance Systems Engineering, HASE 2007
Pages105-112
Number of pages8
DOIs
StatePublished - 2007
Event10th IEEE International Symposium on High Assurance Systems Engineering, HASE 2007 - Dallas, TX, United States
Duration: Nov 14 2007Nov 16 2007

Publication series

NameProceedings of IEEE International Symposium on High Assurance Systems Engineering
ISSN (Print)1530-2059

Other

Other10th IEEE International Symposium on High Assurance Systems Engineering, HASE 2007
Country/TerritoryUnited States
CityDallas, TX
Period11/14/0711/16/07

Keywords

  • Adaptive testing
  • Group testing
  • Regression testing
  • Statistical testing
  • Test case selection and ranking
  • Web services

ASJC Scopus subject areas

  • General Engineering

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