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Software errors and complexity: an empirical investigation0
Open accessAbstract
An analysis of the distributions and relationships derived from the change data collected during development of a medium-scale software project produces some surprising insights into the factors influencing software development. Among these are the tradeoffs between modifying an existing module as opposed to creating a new one, and the relationship between module size and error proneness.
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Citations
Cited by
Orthogonal defect classification-a concept for in-process measurements
Chillarege, R., Bhandari, I. S., Chaar, J. K., Halliday, M. J., Moebus, D. S., Ray, B. K., & Wong, M.-Y. (1992) · IEEE Transactions on Software Engineering · doi:10.1109/32.177364 · Cited by 792
Quantitative analysis of faults and failures in a complex software system
Fenton, N. E., & Ohlsson, N. (2000) · IEEE Transactions on Software Engineering · doi:10.1109/32.879815 · Cited by 699
Fenton, N. E., & Neil, M. (2000) · Proceedings of the Conference on The Future of Software Engineering · doi:10.1145/336512.336588 · Cited by 317
A critique of cyclomatic complexity as a software metric
Shepperd, M. (1988) · Software Engineering Journal · doi:10.1049/sej.1988.0003 · Cited by 240
Landman, D., Serebrenik, A., Bouwers, E., & Vinju, J. J. (2016) · Journal of Software: Evolution and Process · doi:10.1002/smr.1760 · Cited by 29
Metadata
- Authors
- Basili, V. R., & Perricone, B. T.
- Venue
- Communications of the ACM
- Published
- 1984-01
- Volume
- 27
- Issue
- 1
- Pages
- 42-52
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2066459581
- Cited by
- 634
- References
- 0
- FWCI
- 39.05
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Software errors and complexity: an empirical investigation0. https://app.cochat.ai/papers/10.1145/69605.2085
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- Basili, V. R., & Perricone, B. T. (1984). Software errors and complexity: an empirical investigation0. Communications of the ACM. https://doi.org/10.1145/69605.2085
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
