• DocumentCode
    1862250
  • Title

    Using Semantics-Enabled Information Retrieval in Requirements Tracing: An Ongoing Experimental Investigation

  • Author

    Mahmoud, Anas ; Niu, Nan

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Mississippi State Univ., Starkville, FL, USA
  • fYear
    2010
  • fDate
    19-23 July 2010
  • Firstpage
    246
  • Lastpage
    247
  • Abstract
    Requirements tracing is a central activity for software systems quality management. However, in large-scale evolving systems, maintaining traceability information manually can become a tedious task. To address this problem, several dynamic techniques were introduced to provide automatic traceability links generation. These techniques are usually based on information retrieval (IR) methods which link different artifacts based on their syntactic information. This paper reports an ongoing experimental investigation of using semantics-enabled IR methods to generate traceability links. Our goal is to explore dynamic, accurate, and conceptually rich ways to generate and maintain traceability information.
  • Keywords
    information retrieval; software maintenance; software quality; automatic traceability links generation; requirements tracing; semantics-enabled information retrieval; software systems quality management; Computational modeling; Information retrieval; Instruments; Semantic Web; Semantics; Software; Syntactics; Requirements tracing; dynamic link generation; information reterival; semantic search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference (COMPSAC), 2010 IEEE 34th Annual
  • Conference_Location
    Seoul
  • ISSN
    0730-3157
  • Print_ISBN
    978-1-4244-7512-4
  • Electronic_ISBN
    0730-3157
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2010.29
  • Filename
    5676264