• DocumentCode
    2798344
  • Title

    An Ontology Based Improved Software Requirement Traceability Matrix

  • Author

    Guo, Ying ; Yang, Meihong ; Wang, Jun ; Yang, Ping ; Li, Feng

  • Author_Institution
    Shandong Comput. Sci. Center, Jinan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 1 2009
  • Firstpage
    160
  • Lastpage
    163
  • Abstract
    Requirement traceability matrix (RTM) is an important static requirement tracing method which is still applied widely in software projects. But traditional RTM mainly support vertical traceability which is started from functional requirements to the other software products, such as design documents, source code and test cases, and usually leads to lower efficiency of defects modification and respondence of requirement changes for neglect of lateral traceability between functional requirements. We put forward an improved RTM based on ontology by which we could trace not only vertical but also lateral functional requirements. First, an ontology of RTM was constructed in which we defined the classes and their relations of RTM. Then, instances or individuals of this ontology needed to be built to support some relevant ontology queries for lateral traceability. Finally, we applied this improved RTM in banking business system.
  • Keywords
    formal specification; formal verification; ontologies (artificial intelligence); program diagnostics; software development management; systems analysis; banking business system; functional requirements; lateral traceability; ontology; ontology queries; requirement traceability matrix; software products; software projects; source code; static requirement tracing method; vertical traceability; Banking; Computer science; Information technology; Knowledge acquisition; Knowledge engineering; Ontologies; Product design; Software design; Software quality; Software testing; lateral traceability; requirement engineering; requirement traceability matrix(RTM); vertical traceability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3888-4
  • Type

    conf

  • DOI
    10.1109/KAM.2009.63
  • Filename
    5362244