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Cited by 447

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Detection of logical coupling based on product release history

Gall, H., Hajek, K., Jazayeri, M.·2002·Proceedings. International Conference on Software Maintenance (Cat. No. 98CB36272)

Abstract

Code-based metrics such as coupling and cohesion are used to measure a system's structural complexity. But dealing with large systems-those consisting of several millions of lines-at the code level faces many problems. An alternative approach is to concentrate on the system's building blocks such as programs or modules as the unit of examination. We present an approach that uses information in a release history of a system to uncover logical dependencies and change patterns among modules. We have developed the approach by working with 20 releases of a large Telecommunications Switching System. We use release information such as version numbers of programs, modules, and subsystems together with change reports to discover common change behavior (i.e. change patterns) of modules. Our approach identifies logical coupling among modules in such a way that potential structural shortcomings can be identified and further examined, pointing to restructuring or reengineering opportunities.

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Metadata

Authors
Gall, H., Hajek, K., & Jazayeri, M.
Venue
Proceedings. International Conference on Software Maintenance (Cat. No. 98CB36272)
Published
2002-11-27
Pages
190-198
OpenAlex
W1677598599
Cited by
447
References
18
FWCI
17.61
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Detection of logical coupling based on product release history. https://app.cochat.ai/papers/10.1109/icsm.1998.738508
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Gall, H., Hajek, K., & Jazayeri, M. (2002). Detection of logical coupling based on product release history. Proceedings. International Conference on Software Maintenance (Cat. No. 98CB36272). https://doi.org/10.1109/icsm.1998.738508

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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.