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COTS Evaluation Supported by Knowledge Bases

  • Abdallah Mohamed
  • Tom Wanyama
  • Günther Ruhe
  • Armin Eberlein
  • Behrouz Far
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3096)

Abstract

Selection of Commercial-off-The-Shelf (COTS) software products is a knowledge-intensive process. In this paper, we show how knowledge bases can be used to facilitate the COTS selection process. We propose a conceptual model to support decision makers during the evaluation procedures. We then describe how this model is implemented using agent technologies supported by two knowledge bases (KB): the COTS KB and the methods KB. The model relies on group-decision making and facilitated stakeholder negotiations during the selection process. It employs hybrid techniques, such as Bayesian Belief Networks and Game Theory, to address different challenges throughout the process. In addition, the paper also describes how the COTS knowledge base can be used at three levels of usage: global (over the internet), limited (between limited number of organizations) and local (within a single organization).

Keywords

Negotiation Process Agent Technology Bayesian Belief Network Conditional Probability Table Stakeholder Preference 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Abdallah Mohamed
    • 1
  • Tom Wanyama
    • 1
  • Günther Ruhe
    • 1
  • Armin Eberlein
    • 2
  • Behrouz Far
    • 1
  1. 1.University of CalgaryCalgaryCanada
  2. 2.Computer Engineering DepartmentAmerican University of SharjahUAE

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