An investigation of artificial neural networks based prediction systems in software project management-Reference-Cited by-同舟云学术

An investigation of artificial neural networks based prediction systems in software project management

Published:2008-03 Issue:3 Volume:81 Page:356-367
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

de Barcelos Tronto Iris Fabiana,da Silva José Demísio Simões,Sant’Anna Nilson

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference38 articles.

1. Estimating software projects;Agarwal;Software Engineering Notes,2001

2. Albrecht, A.J., 1979. Measuring application development productivity. In: Proc. IBM Application Development Symposium, pp. 83–92.

3. Software function, source lines of code and development effort prediction: a software science validation;Albrecht;IEEE Transactions on Software Engineering,1983

4. A simulation tool for efficient analogy based cost estimation;Angelis;Empirical Software Engineering,2000

5. Angelis, L., Stamelos, I., Morisio, M., 2001. Building a software cost estimation model based on categorical data. In: Proc. Seventh IEEE Int. Software Metrics Symposium, pp. 4–15.

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