• DocumentCode
    3472906
  • Title

    Guidelines for Benchmarking Automated Software Traceability Techniques

  • Author

    Yonghee Shin ; Hayes, Jane Huffman ; Cleland-Huang, Jane

  • Author_Institution
    Sch. of Comput., DePaul Univ., Chicago, IL, USA
  • fYear
    2015
  • fDate
    17-17 May 2015
  • Firstpage
    61
  • Lastpage
    67
  • Abstract
    To comparatively evaluate automated trace ability solutions, we need to develop standardized benchmarks. However there is currently no consensus on how a benchmark should be constructed and used to evaluate competing techniques. In this paper we discuss recurring problems in evaluating trace ability techniques, identify essential properties that evaluation methods should possess, and provide guidelines for benchmarking software trace ability techniques. We illustrate the properties and guidelines using empirical evaluation of three software trace ability techniques on nine data sets.
  • Keywords
    benchmark testing; program diagnostics; software engineering; automated software traceability technique; benchmarking; evaluation method; Accuracy; Benchmark testing; Communities; Guidelines; Measurement; Software; Software engineering; Traceability; benchmarks; evaluation metrics; measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software and Systems Traceability (SST), 2015 IEEE/ACM 8th International Symposium on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/SST.2015.13
  • Filename
    7181530