• DocumentCode
    729492
  • Title

    Test suite reduction for mutation testing based on formal concept analysis

  • Author

    Liping Li ; Honghao Gao

  • Author_Institution
    Comput. & Inf. Eng. Inst., Shanghai Second Polytech. Univ., Shanghai, China
  • fYear
    2015
  • fDate
    1-3 June 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Formal concept analysis (FCA) is a method used for deriving implicit relationships between objects by attributes. Aim at the expensive cost problem in mutation testing caused by the large number of mutants and large number of test cases generated to kill these mutants. This paper proposed a test suite reduce method for mutation testing based on FCA. In order to reduce the number of test cases, a test generation algorithm and three reduction rules were presented to reduce the set of test suite based on concept lattice. Results showed this approach can help to reduce the redundancy of test cases for mutation testing.
  • Keywords
    formal concept analysis; program testing; FCA; concept lattice; formal concept analysis; mutation testing; test generation algorithm; test suite reduction; Algorithm design and analysis; Context; Formal concept analysis; Heuristic algorithms; Lattices; Minimization; Testing; concept lattice; mutation testing; test generation; test suite reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2015 16th IEEE/ACIS International Conference on
  • Conference_Location
    Takamatsu
  • Type

    conf

  • DOI
    10.1109/SNPD.2015.7176239
  • Filename
    7176239