• DocumentCode
    2747705
  • Title

    Ontology-Based Similarity Measurement in Software Projects through SimReq Framework

  • Author

    Ilyas, Muhammad ; Küng, Josef

  • Author_Institution
    Inst. for Applic. Oriented Knowledge Process. (FAW), Univ. of Linz, Linz, Austria
  • fYear
    2010
  • fDate
    22-27 Aug. 2010
  • Firstpage
    412
  • Lastpage
    416
  • Abstract
    The study of similarity measurement has long been a fundamental part of natural language processing. Similarity measurement usage is increasing day by day in Information Extraction. Moreover, determining similarity measurement between two or more sets of information is facing problem in web mining. Traditional information retrieval approaches may not always find out the right match of exact concepts. Previously, we have presented SimReq, a Similarity Measurement Framework for requirements engineering. In this paper, we have presented a new idea by using SimReq framework with the help of ontology to find out similarity measurements in different software projects based on different software attributes like Functional Size, Data Quality Rating, and Work Effort etc.
  • Keywords
    formal specification; ontologies (artificial intelligence); software development management; SimReq framework; Web mining; data quality rating; functional size; information extraction; information retrieval; natural language processing; ontology-based similarity measurement; requirements engineering; similarity measurement framework; software projects; work effort; Computational modeling; Data mining; Databases; Ontologies; Psychology; Software; Software measurement; Measurement; Ontology; SimReq; Similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Advances (ICSEA), 2010 Fifth International Conference on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-7788-3
  • Electronic_ISBN
    978-0-7695-4144-0
  • Type

    conf

  • DOI
    10.1109/ICSEA.2010.70
  • Filename
    5615073