A New Component Selection Algorithm Based on Metrics and Fuzzy Clustering Analysis

Authors:
Camelia Şerban;Andreea Vescan;Horia F. Pop
Affiliations:
Department of Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania 400084;Department of Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania 400084;Department of Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania 400084
Venue:
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Year:
2009

Citing 4
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UKSIM '09 Proceedings of the UKSim 2009: 11th International Conference on Computer Modelling and Simulation

A graph based requirements clustering approach for component selection

Advances in Engineering Software

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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.