The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Software complexity and maintenance costs
Abstract
The effects of software complexity on the costs of Cobol maintenance projects within a large commercial bank are examined, and the impact of software complexity on the costs of software maintenance projects in a traditional information-system (IS) environment is estimated using a previously developed economic model of software maintenance. The model uses a multidimensional approach to measuring software complexity; other project factors that can be controlled by managers and that are believed to affect maintenance project costs are controlled for by the model. It is shown that software maintenance costs are affected significantly by software complexity in terms of module size, procedure size, and branching complexity. Dollar estimates are provided of the magnitude of the impact of software complexity on maintenance costs at a typical commercial site; the costs are high enough to justify complexity control and monitoring.
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Citations
Cites
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A Methodology for Collecting Valid Software Engineering Data
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Software errors and complexity: an empirical investigation0
Basili, V. R., & Perricone, B. T. (1984) · Communications of the ACM · doi:10.1145/69605.2085 · Cited by 634
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A Model to Evaluate Variables Impacting the Productivity of Software Maintenance Projects
Banker, R. D., Datar, S. M., & Kemerer, C. F. (1991) · Management Science · doi:10.1287/mnsc.37.1.1 · Cited by 243
Self-citationCyclomatic complexity density and software maintenance productivity
Gill, G. K., & Kemerer, C. F. (1991) · IEEE Transactions on Software Engineering · doi:10.1109/32.106988 · Cited by 229
Self-citationThe State of Software Maintenance
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Scale Economies in New Software Development
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Self-citationSoftware complexity measurement
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Cited by
Familiarity, complexity, and team performance in geographically distributed software development
Espinosa, J. A., Slaughter, S. A., Kraut, R. E., & Herbsleb, J. D. (2007) · Organization Science · doi:10.1287/orsc.1070.0297 · Cited by 420
An Empirical Analysis of Productivity and Quality in Software Products
Krishnan, M. S., Kriebel, C. H., Kekre, S., & Mukhopadhyay, T. (2000) · Management Science · doi:10.1287/mnsc.46.6.745.11941 · Cited by 264
How does radical collocation help a team succeed?
Teasley, S., Covi, L., Krishnan, M. S., & Olson, J. S. (2000) · Proceedings of the 2000 ACM conference on Computer supported cooperative work · doi:10.1145/358916.359005 · Cited by 224
Modeling coordination in software construction: An analytical approach
Koushik, M. V., & Mookerjee, V. S. (1995) · Information Systems Research · doi:10.1287/isre.6.3.220 · Cited by 47
A systematic mapping study on architectural smells detection
Mumtaz, H., Singh, P., & Blincoe, K. (2021) · Journal of Systems and Software · doi:10.1016/j.jss.2020.110885 · Cited by 44
Metadata
- Authors
- Banker, R. D., Datar, S. M., Kemerer, C. F., & Zweig, D.
- Venue
- Communications of the ACM
- Published
- 1993-11
- Volume
- 36
- Issue
- 11
- Pages
- 81-94
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2159118518
- Cited by
- 334
- References
- 16
- FWCI
- 33.06
- Type
- journal article
- Language
- en
- Open access
- closed
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- Banker, R. D., Datar, S. M., Kemerer, C. F., & Zweig, D. (1993). Software complexity and maintenance costs. Communications of the ACM. https://doi.org/10.1145/163359.163375
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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.
