Using object-level run-time metrics to study coupling between objects
Proceedings of the 2005 ACM symposium on Applied computing
Api hyperlinking via structural overlap
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
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Clustering analysis has rarely been studied as atechnique for object identification method, although it haslong been broadly employed in data classification in awide range of research areas.In this paper, we propose areview of clustering analysis method and a scheme forapplying hierarchical clustering analysis to facilitateidentification of candidate objects in procedural sourcecode.The study shows that clustering analysis is able tocorrectly group functions to meaningful clusters eventhough functions are written in an interleaved orderClustering analysis can work well with the modular caseand the tangled case without any additional support.