CRAFT: A Framework for Evaluating Software Clustering Results in the Absence of Benchmark Decompositions
Brian S. Mitchell, Spiros Mancoridis · 2001
Software clustering algorithms are used to create high-level views of a system's structure using source code-level artifacts. Software clustering is an active area of research that has produced many clustering algorithms. However, we have seen very little work that investigates how the results of these algorithms can be evaluated objectively in the absence of a benchmark decomposition, or without the active participation of the original designers of the system.