COTS Evaluation Supported by Knowledge Bases
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 describ...
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| creator | Mohamed, Abdallah Wanyama, Tom Ruhe, Günther Eberlein, Armin Far, Behrouz |
| description | 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). |
| doi_str_mv | 10.1007/978-3-540-25983-1_5 |
| format | Book Chapter |
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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Advances in Learning Software Organizations, 2004, Vol.3096, p.43-54 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_15993865 |
| source | Springer Books |
| subjects | Agent Technology Applied sciences Artificial intelligence Bayesian Belief Network Computer science control theory systems Conditional Probability Table Exact sciences and technology Learning and adaptive systems Negotiation Process Stakeholder Preference |
| title | COTS Evaluation Supported by Knowledge Bases |
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