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A Model to Evaluate Variables Impacting the Productivity of Software Maintenance Projects
Abstract
The cost of maintaining application software has been rapidly escalating, and is currently estimated to comprise from 50–80% of corporate information systems department budgets. In this research we develop an estimable production frontier model of software maintenance, using a new methodology that allows the simultaneous estimation of both the production frontier and the effects of several productivity factors. Our model allows deviations on both sides of the estimated frontier to reflect the impact of both production inefficiencies and random effects such as measurement errors. The model is then estimated using an empirical dataset of 65 software maintenance projects from a large commercial bank. The insights obtained from the estimation results are found to be quite consistent for reasonable variations in the specification of the model. Estimates of the marginal impacts of all of the included productivity factors are obtained to aid managers in improving productivity in software maintenance.
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Citations
Cited by
Software complexity and maintenance costs
Banker, R. D., Datar, S. M., Kemerer, C. F., & Zweig, D. (1993) · Communications of the ACM · doi:10.1145/163359.163375 · Cited by 334
Self-citationAn 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
Narayanan, S., Balasubramanian, S., & Swaminathan, J. M. (2009) · Management Science · doi:10.1287/mnsc.1090.1057 · Cited by 244
Measuring and predicting software productivity: A systematic map and review
Petersen, K. (2011) · Information and Software Technology · doi:10.1016/j.infsof.2010.12.001 · Cited by 128
A review of literature on contingency theory in managerial accounting
Islam, J. (2012) · AFRICAN JOURNAL OF BUSINESS MANAGEMENT · doi:10.5897/ajbm11.2764 · Cited by 118
Metadata
- Authors
- Banker, R. D., Datar, S. M., & Kemerer, C. F.
- Venue
- Management Science
- Published
- 1991-01
- Volume
- 37
- Issue
- 1
- Pages
- 1-18
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2004084908
- Cited by
- 243
- References
- 0
- FWCI
- 38.21
- Type
- journal article
- Language
- en
- Open access
- closed
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- Banker, R. D., Datar, S. M., & Kemerer, C. F. (1991). A Model to Evaluate Variables Impacting the Productivity of Software Maintenance Projects. Management Science. https://doi.org/10.1287/mnsc.37.1.1
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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