A new component selection algorithm based on metrics and fuzzy clustering analysis

Abstract

Component-Based Software Engineering is concerned with the assembly of preexisting software components that lead to software systems responding to client specific requirements. This paper presents a new algorithm for constructing a software system by assembling components. The process of selecting a component from a given set takes into account some quality attributes. Metrics are defined in order to quantify the considered attributes. Using these metrics values, a fuzzy clustering approach groups similar components in order to select the best candidate. We comparatively evaluate our results with a case study. © 2009 Springer Berlin Heidelberg.