• DocumentCode
    468408
  • Title

    Towards a Dynamic Ontology Based Software Project Management Antipattern Intelligent System

  • Author

    Settas, Dimitrios ; Stamelos, Ioannis

  • Author_Institution
    Aristotle Univ. of Thessaloniki, Thessaloniki
  • Volume
    1
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    186
  • Lastpage
    193
  • Abstract
    The Software Project Management Antipattern Intelligent System (PROMAISE) is proposed as a Web-enabled knowledge-base framework that uses antipattern OWL ontologies in order to provide intelligent and up to date advice to software project managers regarding the selection of appropriate antipatterns in a software project. Antipatterns provide information on commonly occurring solutions to problems that generate negative consequences. These mechanisms are documented using informal paper based structures that do not readily support knowledge sharing and reuse. Antipattern OWL ontologies can be used to build a dynamic antipattern knowledge base, which can update itself automatically. This will allow the accessibility and transferability of up-to-date computer-mediated software project management knowledge to software project managers by encoding antipatterns into computer understandable ontologies. PROMAISE can function with this knowledge base in order to assist software project managers in the process of selecting applicable antipatterns.
  • Keywords
    Internet; knowledge based systems; knowledge representation languages; ontologies (artificial intelligence); project management; software management; OWL; Web-enabled knowledge-base framework; dynamic ontology; software project management antipattern intelligent system; Artificial intelligence; Collaborative software; Informatics; Intelligent systems; Knowledge management; OWL; Ontologies; Project management; Semantic Web; Software tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
  • Conference_Location
    Patras
  • ISSN
    1082-3409
  • Print_ISBN
    978-0-7695-3015-4
  • Type

    conf

  • DOI
    10.1109/ICTAI.2007.43
  • Filename
    4410282