Metrics Suite for Class Complexity

Authors:
John Michura;Miriam A. M. Capretz
Affiliations:
University of Western Ontario, Canada;University of Western Ontario, Canada
Venue:
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II - Volume 02
Year:
2005

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Abstract

Though software engineering seems to focus on the development of software, most of the funds are spent maintaining and testing the systems. The ability to predict effort required to test and maintain is valuable to an organization interested in allocating project resources accordingly. This paper reviews the metrics cyclomatic complexity and weighted methods per class. The flaws in weighted methods per class are examined and a suite of metrics to determine and justify class complexity is proposed. This paper also discusses the design of a software tool that can be used to extract the values for the proposed metrics suite. The benefits of the software tool are also discussed.