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Examining the Feasibility of a Case-Based Reasoning Model for Software Effort Estimation1
Abstract
Existing algorithmic models fail to produce accurate software development effort estimates. To address this problem, a case-based reasoning model, called Estor, was developed based on the verbal protocols of a human expert solving a set of estimation problems. Estor was then presented with 15 software effort estimation tasks. The estimates of Estor were compared to those of the expert as well as those of the function point and COCOMO estimations of the projects. The estimates generated by the human expert and Estor were more accurate and consistent than those of the function point and COCOMO methods. In fact, Estor was nearly as accurate and consistent as the expert. These results suggest that a case-based reasoning approach for software effort estimation holds promise and merits additional research.
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Cited by
Dew, N., Read, S., Sarasvathy, S. D., & Wiltbank, R. (2009) · Journal of Business Venturing · doi:10.1016/j.jbusvent.2008.02.002 · Cited by 829
Systematic literature review of machine learning based software development effort estimation models
Wen, J., Li, S., Lin, Z., Hu, Y., & Huang, C. (2012) · Information and Software Technology · doi:10.1016/j.infsof.2011.09.002 · Cited by 526
Nevo, S., & Wade, M. R. (2010) · MIS Quarterly · doi:10.2307/20721419 · Cited by 517
Applying Systematic Reviews to Diverse Study Types: An Experience Report
Dyba, T., Dingsoyr, T., & Hanssen, G. K. (2007) · First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) · doi:10.1109/esem.2007.59 · Cited by 391
Rai, A., Maruping, L. M., & Venkatesh, V. (2009) · MIS Quarterly · doi:10.2307/20650313 · Cited by 311
Metadata
- Authors
- Mukhopadhyay, T., Vicinanza, S. S., & Prietula, M. J.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 1992-06-01
- Volume
- 16
- Issue
- 2
- Pages
- 155-171
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2127741023
- Cited by
- 241
- References
- 0
- FWCI
- 9.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mukhopadhyay, T., Vicinanza, S. S., & Prietula, M. J. (1992). Examining the Feasibility of a Case-Based Reasoning Model for Software Effort Estimation1. MIS Quarterly. https://doi.org/10.2307/249573
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
