Software can be considered a live entity, as it undergoes many alterations throughout its lifecycle. Therefore, code can become rather complex and difficult to understand. More specifically in object-oriented systems, classes may become very large and less cohesive. In order to identify such problematic cases, existing approaches have proposed the use of cohesion metrics. While metrics can identify classes with low cohesion, they usually cannot identify new or independent concepts. In this work, we propose a class decomposition method using an clustering algorithm based on the Jaccard distance between class members. The methodology is able to identify new concepts and rank the solutions according to their impact on the design quality of the system. The methodology was evaluated in terms of assessment by designers, expert assessment and metrics. The evaluation showed the ability of the method to identify new recognizable concepts and improve the design quality of the underlying system.

Zugl.: Stuttgart, Univ., Diss., 2005

Thesis (M.S.E.)--University of Wisconsin -- La Crosse, 2007. / Includes bibliographical references (p. 31-32)

Thèse (M.Ges.Org.) -- Université du Québec à Chicoutimi, 2003. / Bibliogr.: f. 216-233. Document électronique également accessible en format PDF. CaQCU

Thesis (M.S. in Management of Technology)--Vanderbilt University, Aug. 2004. / Title from title screen. Includes bibliographical references.

Thesis (M.S. in Aeronautical Engineering)--Naval Postgraduate School, December 2002. / Thesis advisor(s): Russell W. Duren, Hersch Loomis. Includes bibliographical references (p. 199). Also available online.

Stuttgart, Univ., Diss., 2000.

Stuttgart, Univ., Studienarb., 2004.

Thesis (M.S. in Computer Science) Naval Postgraduate School, March 1999. / Thesis advisor(s): Man-Tak Shing, Valdis Berzins. "March 1999". Includes bibliographical references (p. 181-182). Also available online.

Thesis (Ph. D.)--Georgia State University, 2006. / Balasubramaniam Ramesh, committee chair; Daniel Robeey, Mike Gallivan, Sandeep Purao, committee members. Electronic text (271 p.) : digital, PDF file. Description based on contents viewed August 6, 2007. Includes bibliographical references (p. 254-269).