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Component-based Software Engineering (CBSE) provides solutions to the development of complex and evolving systems. As these systems are created and maintained, the task of selecting components is repeated. The Contextdriven Component Evaluation (CdCE) project is developing strategies and techniques for automating a repeatable process for assessing software components. This paper describes our work using Artificial Intelligence (AI) techniques to classify components based on an ideal componentdoi:10.1109/cmpsac.2004.1342839 dblp:conf/compsac/MaxvilleAL04 fatcat:wdx22jm5bnbvdbsixouwgmhmte