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Using evolutionary annotations from change logs to enhance program comprehension

German, Daniel M., Rigby, Peter C., Storey, Margaret-Anne·2006·Proceedings of the 2006 international workshop on Mining software repositories
DOI 10.1145/1137983.1138020
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Abstract

Evolutionary annotations are descriptions of how source code evolves over time. Typical source comments, given their static nature, are usually inadequate for describing how a program has evolved over time; instead, source code comments are typically a description of what a program currently does. We propose the use of evolutionary annotations as a way of describing the rationale behind changes applied to a given program (for example ”These lines were added to...”). Evolutionary annotations can assist a software developer in the understanding of how a given portion of source code works by showing him how the source has evolved into its current form. In this paper we describe a method to automatically create evolutionary annotations from change logs, defect tracking systems and mailing lists. We describe the design of a prototype for Eclipse that can filter and present these annotations alongside their corresponding source code and in workbench views. We use Apache as a test case to demonstrate the feasibility of this approach.

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Research works printed but not linked: 6

  1. 10.1145/1031607.1031622 · DOI
  2. 10.1002/smr.v16:6 · DOI
  3. German D. M., Journal of Empirical Software Engineering, 2005. Accepted for publication Sept 25, 2005, to appear in the Special Issue of Best Papers of ICSM 2004.
  4. 10.1145/1052898.1052912 · DOI
  5. 10.1023/A:1009778023863 · DOI
  6. 10.1145/1083142.1083152 · DOI

Cited by

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  • Practitioners’ expectations on log anomaly detection

    Ma, X., Li, Y., Keung, J., Yu, X., Zou, H., Yang, Z., Sarro, F., & Barr, E. T. (2025) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2025.3586700 · Cited by 21

    “L OGS are a crucial source of information in software systems, capturing system runtime behavior and aiding in software engineering tasks like program comprehension [1], [2], anomaly detection [3], [4], [5], [6], and failure diagnosis [7], [8].”

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Metadata

Authors
German, D. M., Rigby, P. C., & Storey, M.-A.
Affiliations
University of Victoria
Venue
Proceedings of the 2006 international workshop on Mining software repositories
Publisher
ACM
Published
2006-05-22
Pages
159-162
DOI
10.1145/1137983.1138020
Cited by
2
References
0
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)

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CoChat. (2026). Citation check: Using evolutionary annotations from change logs to enhance program comprehension. https://app.cochat.ai/papers/10.1145/1137983.1138020
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German, D. M., Rigby, P. C., & Storey, M.-A. (2006). Using evolutionary annotations from change logs to enhance program comprehension. Proceedings of the 2006 international workshop on Mining software repositories. https://doi.org/10.1145/1137983.1138020