article

Software development cost estimation approaches – A survey

Authors:

Sunita ChulaniAuthors Info & Claims

Annals of Software Engineering, Volume 10, Issue 1-4

Pages 177 - 205

https://doi.org/10.1023/A:1018991717352

Published: 11 January 2000 Publication History

Abstract

This paper summarizes several classes of software cost estimation models and techniques: parametric models, expertiseýbased techniques, learningýoriented techniques, dynamicsýbased models, regressionýbased models, and compositeýBayesian techniques for integrating expertiseýbased and regressionýbased models. Experience to date indicates that neuralýnet and dynamicsýbased techniques are less mature than the other classes of techniques, but that all classes of techniques are challenged by the rapid pace of change in software technology. The primary conclusion is that no single technique is best for all situations, and that a careful comparison of the results of several approaches is most likely to produce realistic estimates.

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cover image Annals of Software Engineering

Annals of Software Engineering Volume 10, Issue 1-4

2000

382 pages

ISSN:1022-7091

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Copyright © Copyright © 2000 Kluwer Academic Publishers.

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J. C. Baltzer AG, Science Publishers

United States

Publication History

Published: 11 January 2000

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