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CVS release history data for detecting logical couplings
Abstract
The dependencies and interrelations between classes and modules affect the maintainability of object-oriented systems. It is therefore important to capture weaknesses of the software architecture to make necessary corrections. We describe a method for software evolution analysis. It consists of three complementary steps, which form an integrated approach for the reasoning about software structures based on historical data: 1) the quantitative analysis uses version information for the assessment of growth and change behavior; 2) the change sequence analysis identifies common change patterns across all system parts; and 3) the relation analysis compares classes based on CVS release history data and reveals the dependencies within the evolution of particular entities. We focus on the relation analysis and discuss its results; it has been validated based on empirical data collected from a concurrent versions system (CVS) covering 28 months of a picture archiving and communication system (PACS). Our software evolution analysis approach enabled us to detect shortcomings of PACS such as architectural weaknesses, poorly designed inheritance hierarchies, or blurred interfaces of modules.
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Cited by
Predicting Faults from Cached History
Kim, S., Zimmermann, T., Whitehead Jr., E. J., & Zeller, A. (2007) · 29th International Conference on Software Engineering (ICSE'07) · doi:10.1109/icse.2007.66 · Cited by 486
Mining version histories to guide software changes
Zimmermann, T., Weibgerber, P., Diehl, S., & Zeller, A. (2004) · Proceedings. 26th International Conference on Software Engineering · doi:10.1109/icse.2004.1317478 · Cited by 322
An Industrial Case Study of Program Artifacts Viewed During Maintenance Tasks
Zou, L., & Godfrey, M. W. (2006) · 2006 13th Working Conference on Reverse Engineering · doi:10.1109/wcre.2006.12 · Cited by 20
Metadata
- Authors
- Gall, H., Jazayeri, M., & Krajewski, J.
- Venue
- Sixth International Workshop on Principles of Software Evolution, 2003. Proceedings.
- Publisher
- IEEE
- Published
- 2004-06-22
- Pages
- 13-23
- OpenAlex
- W1533432827
- Cited by
- 291
- References
- 0
- FWCI
- 22.62
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: CVS release history data for detecting logical couplings. https://app.cochat.ai/papers/10.1109/iwpse.2003.1231205
- The paper
- Gall, H., Jazayeri, M., & Krajewski, J. (2004). CVS release history data for detecting logical couplings. Sixth International Workshop on Principles of Software Evolution, 2003. Proceedings. https://doi.org/10.1109/iwpse.2003.1231205
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