• DocumentCode
    3072549
  • Title

    Development of Robust Traceability Benchmarks

  • Author

    Xiaofan Chen ; Hosking, John ; Grundy, John ; Amor, Robert

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2013
  • fDate
    4-7 June 2013
  • Firstpage
    145
  • Lastpage
    154
  • Abstract
    Traceability benchmarks are essential for the evaluation of traceability recovery techniques. This includes the validation of an individual trace ability technique itself and the objective comparison of the technique with other traceability techniques. However, it is generally acknowledged that it is a real challenge for researchers to obtain or build meaningful and robust benchmarks. This is because of the difficulty of obtaining or creating suitable benchmarks. In this paper, we describe an approach to enable researchers to establish affordable and robust benchmarks. We have designed rigorous manual identification and verification strategies to determine whether or not a link is correct. We have developed a formula to calculate the probability of errors in benchmarks. Analysis of error probability results shows that our approach can produce high quality benchmarks, and our strategies significantly reduce error probability in them.
  • Keywords
    benchmark testing; error statistics; probability; program diagnostics; program verification; software performance evaluation; error probability reduction; manual identification; traceability benchmark; traceability recovery; verification strategy; Benchmark testing; Buildings; Documentation; Error probability; Measurement; Robustness; Software; benchmark development; traceability benchmark;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Conference (ASWEC), 2013 22nd Australian
  • Conference_Location
    Melbourne, VIC
  • ISSN
    1530-0803
  • Type

    conf

  • DOI
    10.1109/ASWEC.2013.26
  • Filename
    6601302