• DocumentCode
    650712
  • Title

    Enhancing Software Traceability by Automatically Expanding Corpora with Relevant Documentation

  • Author

    Dasgupta, Tanmoy ; Grechanik, Mark ; Moritz, E. ; Dit, Bogdan ; Poshyvanyk, Denys

  • Author_Institution
    Univ. of Illinois at Chicago, Chicago, IL, USA
  • fYear
    2013
  • fDate
    22-28 Sept. 2013
  • Firstpage
    320
  • Lastpage
    329
  • Abstract
    Software trace ability is the ability to describe and follow the life of a requirement in both a forward and backward direction by defining relationships to related development artifacts. A plethora of different trace ability recovery approaches use information retrieval techniques, which depend on the quality of the textual information in requirements and software artifacts. Not only is it important that stakeholders use meaningful names in these artifacts, but also it is crucial that the same names are used to specify the same concepts in different artifacts. Unfortunately, the latter is difficult to enforce and as a result, software trace ability approaches are not as efficient and effective as they could be - to the point where it is questionable whether the anticipated economic and quality benefits were indeed achieved. We propose a novel and automatic approach for expanding corpora with relevant documentation that is obtained using external function call documentation and sets of relevant words, which we implemented in Trace Lab. We experimented with three Java applications and we show that using our approach the precision of recovering trace ability links was increased by up to 31% in the best case and by approximately 9% on average.
  • Keywords
    information retrieval; software engineering; system documentation; Java applications; TraceLab; external function call documentation; information retrieval techniques; relevant documentation; software artifacts; software traceability enhancement; textual information quality; Documentation; Educational institutions; Java; Semantics; Software; Vectors; Vocabulary; API call; machine learning; software traceability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance (ICSM), 2013 29th IEEE International Conference on
  • Conference_Location
    Eindhoven
  • ISSN
    1063-6773
  • Type

    conf

  • DOI
    10.1109/ICSM.2013.43
  • Filename
    6676903