• DocumentCode
    1634280
  • Title

    Foundations for an expert system in domain-specific traceability

  • Author

    Jin Guo ; Cleland-Huang, Jane ; Berenbach, Brian

  • Author_Institution
    Sch. of Comput., DePaul Univ., Chicago, IL, USA
  • fYear
    2013
  • Firstpage
    42
  • Lastpage
    51
  • Abstract
    Attempts to utilize information retrieval techniques to fully automate the creation of traceability links have been hindered by terminology mismatches between source and target artifacts. Therefore, current trace retrieval algorithms tend to produce imprecise and incomplete results. In this paper we address this mismatch by proposing an expert system which integrates a knowledge base of domain concepts and their relationships, a set of logic rules for defining relationships between artifacts based on these rules, and a process for mapping artifacts into a structure against which the rules can be applied. This paper lays down the core foundations needed to integrate an expert system into the automated tracing process. We construct a knowledge base and inference rules for part of a large industrial project in the transportation domain and empirically show that our approach significantly improves precision and recall of the generated trace links.
  • Keywords
    automotive engineering; expert systems; inference mechanisms; information retrieval; program diagnostics; artifact mapping; automated tracing process; domain concepts; domain-specific traceability; expert system; industrial project; inference rules; information retrieval techniques; knowledge base; traceability links; transportation domain; Automobiles; DH-HEMTs; Expert systems; Pragmatics; Roads; Vocabulary; logic; requirements traceability; rules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Requirements Engineering Conference (RE), 2013 21st IEEE International
  • Conference_Location
    Rio de Janeiro
  • Type

    conf

  • DOI
    10.1109/RE.2013.6636704
  • Filename
    6636704