Proposing a Novel Artificial Neural Network Prediction Model to Improve the Precision of Software Effort Estimation

Author:

Attarzadeh Iman,Ow Siew Hock

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Boehm, B.: Software Engineering Economics. Prentice-Hall, Englewood Cliffs (1981)

2. Boehm, B., Abts, C., Chulani, S.: Software Development Cost Estimation Approaches – A Survey. University of Southern California Center for Software Engineering, Technical Reports, USC-CSE-2000-505 (2000)

3. Putnam, L.H.: A General Empirical Solution to the Macro Software Sizing and Estimating Problem. IEEE Transactions on Software Engineering 4(4), 345–361 (1978)

4. Srinivasan, K., Fisher, D.: Machine Learning Approaches to Estimating Software Development Effort. IEEE Transactions on Software Engineering 21(2) (1995)

5. Molokken, K., Jorgensen, M.: A review of software surveys on software effort estimation. In: IEEE International Symposium on Empirical Software Engineering, ISESE, pp. 223–230 (October 2003)

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