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Multi-site Software Engineering Ontology Instantiations Management Using Reputation Based Decision Making

  • Pornpit Wongthongtham
  • Farookh Khadeer Hussain
  • Elizabeth Chang
  • Tharam S. Dillon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4891)

Abstract

In this paper we explore the development of systems for software engineering ontology instantiations management in the methodology for multi-site distributed software development. Ultimately the systems facilitate collaboration of teams in multi-site distributed software development. In multi-site distributed environment, team members in the software engineering projects have naturally an interaction with each other and share lots of project data/agreement amongst themselves. Since they are not always residing at the same place and face-to-face meetings hardly happen, there is a need for methodology and tools that facilitate effective communication for efficient collaboration. Whist multi-site distributed teams collaborate, there are a lot of shared project data updated or created. In a large volume of project data, systematic management is of importance. Software engineering knowledge is represented in the software engineering ontology whose instantiations, which are undergoing evolution, need a good management system. Software engineering ontology instantiations signify project information which is shared and has evolved to reflect project development, changes in the software requirements or in the design process, to incorporate additional functionality to systems or to allow incremental improvement, etc.

Keywords

Multi-Site Software Development Software Engineering Ontology Reputation Trust 

References

  1. 1.
    Witmer, G.: Dictionary of Philosophy of Mind - Ontology (2004) (cited May 11, 2004) , http://www.artsci.wustl.edu/~philos/MindDict/ontology.html
  2. 2.
    Smith, B.: Ontology. In: Floridi, L. (ed.) Blackwell Guide to the Philosophy of Computing and Information, pp. 155–166. Blackwell, Oxford (2003)Google Scholar
  3. 3.
    Gruber, T.R.: A translation approach to portable ontology specification. In: Knowledge Acquisition (1993)Google Scholar
  4. 4.
    Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. In: International Workshop on Formal Ontology in Conceptual Analysis and Knowledge Representation, Deventer, The Netherlands. Kluwer Academic Publishers, Padova (1993)Google Scholar
  5. 5.
    Beuster, G.: Ontologies Talk given at Czech Academy of Sciences (2002)Google Scholar
  6. 6.
    Rumizen, M.C.: Complete Idiot’s Guide to Knowledge Management. Alpha (2001)Google Scholar
  7. 7.
    Sowa, J.F.: Conceptual Structures: Information Processing in Mind and Machine. Addison Wesley, Reading (1984)zbMATHGoogle Scholar
  8. 8.
    Carroll, J.J., et al.: Jena: Implementing the Semantic Web Recommendations, Digital Media Systems Laboratory, HP Laboratories Bristol (2004)Google Scholar
  9. 9.
    McBride, B.: Jena: Implementing the RDF Model and Syntax Specification. In: Semantic Web Workshop, WWW 2001 (2001)Google Scholar
  10. 10.
    Seaborne, A.: Jena Tutorial: A Programmer’s Introduction to RDQL (Updated February 2004)Google Scholar
  11. 11.
    McCarthy, P.: Introduction to Jena: use RDF models in your Java applications with the Jena Semantic Web Framework, SmartStream Technologies, IBM developerWorks (2004)Google Scholar
  12. 12.
    Chang, E., Dillon, T., Hussain, F.K.: Trust and Reputation for Service Oriented Environment: Technologies For Building Business Intelligence And Consumer Confidence. John Wiley and Sons, Chichester (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Pornpit Wongthongtham
    • 1
  • Farookh Khadeer Hussain
    • 1
  • Elizabeth Chang
    • 1
  • Tharam S. Dillon
    • 1
  1. 1.Digital Ecosystems and Business Intelligence InstituteCurtin University of TechnologyPerthAustralia

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