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[Author] Mazen ALOBAIDI(1hit)

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  • Autonomous Decentralized Semantic Based Traceability Link Recovery Framework

    Khalid MAHMOOD  Mazen ALOBAIDI  Hironao TAKAHASHI  

     
    PAPER-Artificial Intelligence, Data Mining

      Pubricized:
    2016/06/07
      Vol:
    E99-D No:9
      Page(s):
    2283-2294

    The automation of traceability links or traceability matrices is important to many software development paradigms. In turn, the efficiency and effectiveness of the recovery of traceability links in the distributed software development is becoming increasingly vital due to complexity of project developments, as this include continuous change in requirements, geographically dispersed project teams, and the complexity of managing the elements of a project - time, money, scope, and people. Therefore, the traceability links among the requirements artifacts, which fulfill business objectives, is also critical to reduce the risk and ensures project‘s success. This paper proposes Autonomous Decentralized Semantic based Traceability Link Recovery (AD-STLR) architecture. According to best of our knowledge this is the first architectural approach that uses an autonomous decentralized concept, DBpedia knowledge-base, Babelnet 2.5 multilingual dictionary and semantic network, for finding similarity among different project artifacts and the automation of traceability links recovery.