A user-assisted approach to component clustering
Journal of Software Maintenance: Research and Practice
Revisiting the ΔIC approach to component recovery
Science of Computer Programming - Software analysis, evolution and re-engineering
Clustering methodologies for software engineering
Advances in Software Engineering
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Component recovery supports program understanding, architecture recovery, and reuse. Among the best-known techniques for detection of re-usable objects (related global variables and their accessor functions) is Delta-IC [2]. This paper revisits the original approach and extends it in different ways. It describes a variant of Delta-IC suitable for reverse engineering that omits the slicing step of the original approach. The underlying metric of Delta-IC is extended toward types integrating ideas of the Internal Access technique [32] such that abstract data types can also be detected. Furthermore, the connectivity metric of Delta-IC is combined with a cohesion metric based on vertex connectivity. The new metrics and the new algorithm for reverse engineering are quantitatively evaluated using the framework proposed in [19] as a standard evaluation of clustering techniques for component recovery.