• DocumentCode
    2440237
  • Title

    Improving information retrieval-based concept location using contextual relationships

  • Author

    Dilshener, Tezcan

  • Author_Institution
    Dept. of Comput., Open Univ., Milton Keynes, UK
  • fYear
    2012
  • fDate
    2-9 June 2012
  • Firstpage
    1499
  • Lastpage
    1502
  • Abstract
    For software engineers to find all the relevant program elements implementing a business concept, existing techniques based on information retrieval (IR) fall short in providing adequate solutions. Such techniques usually only consider the conceptual relations based on lexical similarities during concept mapping. However, it is also fundamental to consider the contextual relationships existing within an application´s business domain to aid in concept location. As an example, this paper proposes to use domain specific ontological relations during concept mapping and location activities when implementing business requirements.
  • Keywords
    business data processing; information retrieval; ontologies (artificial intelligence); IR; business concept; business requirements; concept mapping; contextual relationships; domain specific ontological relations; information retrieval-based concept location; lexical similarities; location activities; program elements; software engineers; Business; Context; Correlation; Information retrieval; Ontologies; Semantics; Software; concept location; concept mapping; contextual relations; domain specific ontologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (ICSE), 2012 34th International Conference on
  • Conference_Location
    Zurich
  • ISSN
    0270-5257
  • Print_ISBN
    978-1-4673-1066-6
  • Electronic_ISBN
    0270-5257
  • Type

    conf

  • DOI
    10.1109/ICSE.2012.6227052
  • Filename
    6227052