CRAFT: A Framework for Evaluating Software Clustering Results in the Absence of Benchmark Decompositions

@inproceedings{Mitchell2001CRAFTAF,
  title={CRAFT: A Framework for Evaluating Software Clustering Results in the Absence of Benchmark Decompositions},
  author={Brian S. Mitchell and Spiros Mancoridis},
  booktitle={WCRE},
  year={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. Ideally, for a given system, an… CONTINUE READING
Highly Cited
This paper has 49 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
33 Extracted Citations
16 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 16 references

Experiments with hierarchical clustering algorithms as software remodularization methods

  • N. Anquetil, C. Fourrier, T. Lethbridge
  • In Proc. Working Conf. on Reverse Engineering,
  • 1999
Highly Influential
5 Excerpts

Similar Papers

Loading similar papers…