The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Design complexity measurement and testing
Open accessAbstract
System designers can quantify the complexity of a software design by using a trio of finely tuned design metrics.
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Citations
Cites
McCabe, T. J. (1976) · IEEE Transactions on Software Engineering · doi:10.1109/tse.1976.233837 · Cited by 6,059
Self-citationHalstead, M. H. (1977) · CERN Document Server (European Organization for Nuclear Research) · Cited by 2,930
Halstead, M. H. (1977) · CERN Document Server (European Organization for Nuclear Research) · Cited by 2,339
Controlling Software Projects: Management, Measurement, and Estimates
DeMarco, T. (1982) · Medical Entomology and Zoology · Cited by 495
Validation, Verification, and Testing of Computer Software
Adrion, W. R., Branstad, M. A., & Cherniavsky, J. C. (1982) · ACM Computing Surveys · doi:10.1145/356876.356879 · Cited by 426
Curtis, B., Sheppard, S. B., Milliman, P., Borst, M. A., & Love, T. (1979) · IEEE Transactions on Software Engineering · doi:10.1109/tse.1979.234165 · Cited by 288
A Review and Evaluation of Software Science
Fitzsimmons, A., & Love, T. (1978) · ACM Computing Surveys · doi:10.1145/356715.356717 · Cited by 183
An extension to the cyclomatic measure of program complexity
Myers, G. J. (1977) · ACM SIGPLAN Notices · doi:10.1145/954627.954633 · Cited by 149
Third time charm: Stronger prediction of programmer performance by software complexity metrics
Curtis, B., Sheppard, S. B., & Milliman, P. (1979) · doi:10.5555/800091.802959 · Cited by 116
On the relationships among three software metrics
Henry, S. M., Kafura, D. G., & Harris, K. (1981) · ACM SIGMETRICS Performance Evaluation Review · doi:10.1145/1010627.807911 · Cited by 89
Cited by
Object-oriented metrics that predict maintainability
Li, W., & Henry, S. (1993) · Journal of Systems and Software · doi:10.1016/0164-1212(93)90077-b · Cited by 1,077
What do engineering students learn in sustainability courses? The effect of the pedagogical approach
Segalàs, J., Ferrer-Balas, D., & Mulder, K. F. (2010) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2009.09.012 · Cited by 302
Robust Prediction of Fault-Proneness by Random Forests
Guo, L., Ma, Y., Cukic, B., & Singh, H. (2005) · 15th International Symposium on Software Reliability Engineering · doi:10.1109/issre.2004.35 · Cited by 271
Metadata
- Authors
- McCabe, T. J., & Butler, C. W.
- Venue
- Communications of the ACM
- Published
- 1989-12
- Volume
- 32
- Issue
- 12
- Pages
- 1415-1425
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2038214150
- Cited by
- 364
- References
- 10
- FWCI
- 37.25
- Type
- journal article
- Language
- en
- Open access
- bronze
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Design complexity measurement and testing. https://app.cochat.ai/papers/10.1145/76380.76382
- The paper
- McCabe, T. J., & Butler, C. W. (1989). Design complexity measurement and testing. Communications of the ACM. https://doi.org/10.1145/76380.76382
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
