A tool to automate component clustering and identification

  • Authors:

  • Soo Ho Chang;Man Jib Han;Soo Dong Kim

  • Affiliations:

  • Department of Computer Science, Soongsil University, Seoul, Korea;Department of Computer Science, Soongsil University, Seoul, Korea;Department of Computer Science, Soongsil University, Seoul, Korea

  • Venue:
  • FASE'05 Proceedings of the 8th international conference, held as part of the joint European Conference on Theory and Practice of Software conference on Fundamental Approaches to Software Engineering
  • Year:
  • 2005

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Abstract

It is a key activity in CBD to identify high-quality components which have high cohesion and low coupling. However, component clustering is carried out in manual fashion by developers, resulting excessive time consumption and generating errors. In this article, we present an implementation of a tool which automates a component clustering and identification method. We show how we realize a clustering method as a tool and explain techniques applied in the implementation. Using the tool, component identification can be automated, and one can generate and navigate multiple configurations to find the most appropriate one for the project effortlessly.