publication . Part of book or chapter of book . 2008

Computational Intelligence in Software Cost Estimation: Evolving Conditional Sets of Effort Value Ranges

Papatheocharous, Efi; Andreou, Andreas S.;
Open Access
  • Published: 01 Aug 2008
  • Publisher: InTech
Abstract
In the area of software engineering a critical task is to accurately estimate the overall project costs for the completion of a new software project and efficiently allocate the resources throughout the project schedule. The numerous software cost estimation approaches proposed are closely related to cost modeling and recognize the increasing need for successful project management, planning and accurate cost prediction. Cost estimators are continually faced with problems stemming from the dynamic nature of the project development process itself. Software development is considered an intractable procedure and inevitably depends highly on several complex factors (...
Subjects
free text keywords: Project management, business.industry, business, Software, Computational intelligence, Risk analysis (engineering), Cost estimate, Machine learning, computer.software_genre, computer, Schedule (project management), Computer science, Scheduling (computing), Resource (project management), Software development, Artificial intelligence
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38 references, page 1 of 3

Adamopoulos, A.V.; Likothanassis, S.D. & Georgopoulos, E.F. (1998). A Feature Extractor of Seismic Data Using Genetic Algorithms, Signal Processing IX: Theories and Applications, Proceedings of EUSIPCO-98, the 9th European Signal Processing Conference, Vol. 2, pp. 2429-2432, Typorama, Greece. [OpenAIRE]

Albrecht, A.J. & Gaffney J.R. (1983). Software Function Source Lines of Code, and Development Effort Prediction: A Software Science Validation, IEEE Transactions on Software Engineering. Vol. 9, No. 6, pp. 639-648.

Boehm, B.W. (1981). Software Engineering Economics, Prentice Hall, New Jersey.

Boehm, B.W.; Clark, B.; Horowitz, E.; Westland, C.; Madachy, R.J. & Selby R.W. (1995). Cost Models for Future Software Life Cycle Processes: COCOMO 2.0, Annals of Software Engineering, Vol.1, pp. 57-94, Springer, Netherlands.

Boehm, B.W.; Abts, C. & Chulani, S. (2000). Software Development Cost Estimation Approaches - A Survey, Annals of Software Engineering, Vol.10, No. 1, pp. 177-205, Springer, Netherlands.

Burgess, C.J. & Lefley, M. (2001). Can Genetic Programming Improve Software Effort Estimation? A Comparative Evaluation, Information and Software Technology, Vol. 43, No. 14, pp. 863-873, Elsevier, Amsterdam. [OpenAIRE]

Dolado, J.J. (2000). A Validation of the Component-Based Method for Software Size Estimation, IEEE Transactions on Software Engineering, Vol. 26, No. 10, pp. 1006-1021, IEEE Computer Press, Washington D.C..

Dolado, J.J. (2001). On the Problem of the Software Cost Function, Information and Software Technology, Vol. 43, No. 1, pp. 61-72, Elsevier, Amsterdam.

Fairley, R.E. (1992). Recent Advances in Software Estimation Techniques, Proceedings of the 14th International Conference on Software Engineering, pp. 382-391, ACM, Melbourne, Australia.

Finnie, G.R.; Wittig, G.E. & Desharnais, J.-M. (1997). Estimating software development effort

with case-based reasoning, Proceedings of the 2nd International Conference on Case-Based Reasoning Research and Development ICCBR, pp.13-22, Springer.

Holland, J.H. (1992). Genetic Algorithms, Scientific American, Vol. 267, No. 1, pp. 66-72, New York.

Huang, S. & Chiu, N. (2006). Optimization of analogy weights by genetic algorithm for software effort estimation, Information and Software Technology, Vol. 48, pp. 1034- 1045, Elsevier.

Idri, A.; Khoshgoftaar, T.M. & Abran, A. (2002). Can Neural Networks be Easily Interpreted in Software Cost Estimation?, Proceedings of the 2002 IEEE World Congress on Computational Intelligence, pp. 1162-1167 IEEE Computer Press, Washington D.C.. [OpenAIRE]

International Software Benchmarking Standards Group (ISBSG), Estimating, Benchmarking & Research Suite Release 9, ISBSG, Victoria, 2005.

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publication . Part of book or chapter of book . 2008

Computational Intelligence in Software Cost Estimation: Evolving Conditional Sets of Effort Value Ranges

Papatheocharous, Efi; Andreou, Andreas S.;