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Using automatic clustering to produce high-level system organizations of source code

Mancoridis, S., Mitchell, B.S., Rorres, C., Chen, Y., Gansner, E.R.·2002·Proceedings. 6th International Workshop on Program Comprehension. IWPC'98 (Cat. No.98TB100242)

Abstract

We describe a collection of algorithms that we developed and implemented to facilitate the automatic recovery of the modular structure of a software system from its source code. We treat automatic modularization as an optimization problem. Our algorithms make use of traditional hill-climbing and genetic algorithms.

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Metadata

Authors
Mancoridis, S., Mitchell, B. S., Rorres, C., Chen, Y., & Gansner, E. R.
Venue
Proceedings. 6th International Workshop on Program Comprehension. IWPC'98 (Cat. No.98TB100242)
Published
2002-11-27
Pages
45-52
OpenAlex
W1914987135
Cited by
484
References
0
FWCI
22.71
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Using automatic clustering to produce high-level system organizations of source code. https://app.cochat.ai/papers/10.1109/wpc.1998.693283
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Mancoridis, S., Mitchell, B. S., Rorres, C., Chen, Y., & Gansner, E. R. (2002). Using automatic clustering to produce high-level system organizations of source code. Proceedings. 6th International Workshop on Program Comprehension. IWPC'98 (Cat. No.98TB100242). https://doi.org/10.1109/wpc.1998.693283

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.