Reusability Ranking of Software Components by Coupling Measure

This paper provides an account of new measures of coupling developed to assess the reusability of Java components retrieved from the internet by a search engine. These measures differ from the majority of established metrics in two respects: they reflect the degree to which entities are coupled or resemble each other, and they take account of indirect couplings or similarities. An empirical comparison of the new measures with eight established metrics is described. The new measure is shown to be consistently superior at ranking components according to their reusability.

Content

Author and article information

Contributors

Gui Gui

Paul D. Scott

Conference

Publication date: April 2006

Publication date (Print): April 2006

Pages: 1-9

Affiliations

[0001]Department of Computer Science, University of Essex, Colchester, UK

Article

DOI: 10.14236/ewic/EASE2006.7

SO-VID: e78b8fe7-1e12-419e-8553-c04278249f27

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: 10th International Conference on Evaluation and Assessment in Software Engineering (EASE)

Conference acronym: EASE

Conference number: 10

Conference location: Keele University, UK

Conference date: 10 - 11 April 2006

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Evaluation and Assessment in Software Engineering (EASE)

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EASE2006.7

Self URI (journal page): https://ewic.bcs.org/

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Reusability Ranking of Software Components by Coupling Measure

Abstract