Abstract
The COCOMO method represents a data-driven, model-based, parametric estimation method that implements a fixed-model approach. In other words, COCOMO provides a fixed estimation model that has been built on multi organizational project data using statistical regression, which represents a data-driven, parametric method.
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Notes
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The IFPUG Counting Practices Manual has been published as ISO 20926 standard (2009).
References
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Further Reading
Further Reading
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B.W. Boehm, C. Abts, A.W. Brown, S. Chulani, B.K. Clark, E. Horowitz, R. Madachy, D. Reifer, and B. Steece (2000), Software Cost Estimation with COCOMO II, Upper Saddle river, New Jersey: Prentice-Hall
This book is a source reference for the COCOMO II method. It provides comprehensive description of the COCOMO II effort estimation model and its calibration using Bayes’ Theorem.
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S. Chulani, B. Boehm, and B. Steece (1999), “Bayesian Analysis of Empirical Software Engineering Cost Models,” IEEE Transactions on Software Engineering, vol. 25, no. 4, pp. 573–583
The article provides an in-depth description of different variants of calibration of the COCOMO model. As an alternative approach authors propose a g-prior calibration, in which weights are assigned to sample information in order to reflect believed reliability of this information against a priori knowledge acquired from human experts.
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Trendowicz, A., Jeffery, R. (2014). Constructive Cost Model—COCOMO. In: Software Project Effort Estimation. Springer, Cham. https://doi.org/10.1007/978-3-319-03629-8_9
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DOI: https://doi.org/10.1007/978-3-319-03629-8_9
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