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URN to cite this document: urn:nbn:de:bvb:703-epub-8932-4
Title data
Torres, Adriano ; Baltes, Sebastian ; Treude, Christoph ; Wagner, Markus:
Information-theoretic detection of unusual source code changes.
In: Empirical Software Engineering.
Vol. 30
(2025)
.
- 153.
ISSN 1573-7616
DOI der Verlagsversion: https://doi.org/10.1007/s10664-025-10644-y
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Abstract
The code base of software projects evolves essentially through inserting and removing information to and from the source code. We can measure this evolution via the elements of infor-mation—tokens, words, nodes—of the respective representation of the code. In this work, we approach the measurement of the information content of the source code of open-source projects from an information-theoretic standpoint. Our focus is on the entropy of two funda-mental representations of code: tokens and abstract syntax tree nodes, from which we derive definitions of textual and structural entropy. We proceed with an empirical assessment where we evaluate the evolution patterns of the entropy of 95 actively maintained open source pro-jects. We calculate the statistical relationships between our derived entropy metrics and classic methods of measuring code complexity and learn that entropy may capture different dimen-sions of complexity than classic metrics. Finally, we conduct entropy-based anomaly detection of unusual changes to demonstrate that our approach may effectively recognise unusual source code change events with over 60% precision, and lay the groundwork for improvements to information-theoretic measurement of source code evolution, thus paving the way for a new approach to statically gauging program complexity throughout its development.
Further data
| Item Type: | Article in a journal |
|---|---|
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Former Professors > Chair Applied Computer Science I - Univ.-Prof. Dr. Sebastian Baltes Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Former Professors |
| Language: | English |
| Originates at UBT: | Yes |
| URN: | urn:nbn:de:bvb:703-epub-8932-4 |
| Date Deposited: | 27 Feb 2026 10:46 |
| Last Modified: | 27 Feb 2026 10:47 |
| URI: | https://epub.uni-bayreuth.de/id/eprint/8932 |
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