MoJo: A Distance Metric for Software Clusterings

Authors:
Vassilios Tzerpos;R. C. Holt
Affiliations:
-;-
Venue:
WCRE '99 Proceedings of the Sixth Working Conference on Reverse Engineering
Year:
1999

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Abstract

The software clustering problem has attracted much attention recently, since it is an integral part of the process of reverse engineering large software systems. A key problem in this research is the difficulty in comparing different approaches in an objective fashion. In this paper, we present a metric that can be used in evaluating the similarity of two different decompositions of a software system.Our metric calculates a distance between two partitions of the same set of software resources. We begin by introducing the model we use. Consequently, we present a heuristic algorithm that calculates the distance in an efficient fashion. Finally, we discuss some experiments that showcase the performance of the algorithm and the effectiveness of the metric.