Software project effort estimation using genetic programming

2002 International Conference on Communications, Circuits and Systems and West Sino Exposition, ICCCAS 2002 - Proceedings

Volumn 2, Issue , 2002, Pages 1108-1112

  Shan, Y ^a   McKay, R I ^a   Lokan, C J ^a   Essam, D L ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

genetic programming; grammar guided genetic programming; software cost estimation; software engineering

Indexed keywords

COST ENGINEERING; COST ESTIMATING; COSTS; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; RECONFIGURABLE HARDWARE; SOFTWARE DESIGN; SOFTWARE ENGINEERING;

BACK-GROUND KNOWLEDGE; DEVELOPMENT CYCLE; GRAMMAR GUIDED GENETIC PROGRAMMING; SIMPLE LINEAR REGRESSION; SOFTWARE COST ESTIMATIONS; SOFTWARE DEVELOPMENT COSTS; SOFTWARE ENGINEERING MODEL; SOFTWARE PROJECT;

GENETIC PROGRAMMING;

EID: 84976444939     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCAS.2002.1178979     Document Type: Conference Paper

References (15)

1. M. Boraso, C. Montangero, and H. Sedehi. Software cost estimation: an experimental study of model performances. Technical Report TR-96-22, DEPARTIMENTO DI INFORMATATICA, UNIVERSITA DI PISA, Italy, 1996.
2. J.J. Dolado. On the problem of the software cost function. Information and Software Technology, 43(1):61-72, January 2001.
3. C.J. Burgess and M. Lefley. Can genetic programming improve software effort estimation? a comparative evaluation. Information and Software Technology, 43(14):863-873, December 2001.
4. John R. Koza. Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge, MA, USA, 1992.
5. John R. Koza. Genetic Programming II: Automatic Discovery of Reusable Programs. MIT Press, Cambridge Massachusetts, May 1994.
6. David J. Montana. Strongly typed genetic programming. BBN Technical Report #7866, Bolt Beranek and Newman, Inc., 10 Moulton Street, Cambridge, MA 02138, USA, 7 May 1993.
7. Frederic Gruau. On using syntactic constraints with genetic programming. In Peter J. Angeline and K. E. Kinnear, Jr., editors, Advances in Genetic Programming 2, chapter 19, pages 377-394. MIT Press, Cambridge, MA, USA, 1996.
8. P. A. Whigham. Grammatically-based genetic programming. In Justinian P. Rosca, editor, Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, pages 33-41, Tahoe City, California, USA, 9 July 1995.
9. Man Leung Wong and Kwong Sak Leung. Combining genetic programming and inductive logic programming using logic grammars. In 1995 IEEE Conference on Evolutionary Computation, volume 2, pages 733-736, Perth, Australia, 29 November-1 December 1995. IEEE Press.
10. Michael O'Neill and Conor Ryan. Grammatical evolution, IEEE Transaction on Evolutionary Compuation, 5(4):349-358, 2001.
11. D. A. Gustafson, W. A. Barrett, R. M. Bates, and J. D. Couch. Compile construction: Theory and Practice. Science Research Assoc, Inc., 1986.
12. P.A. Whigham. Grammatical Bias for Evolutionary Learning. PhD thesis, School of Computer Science, University College, Univ. of New South Wales, Australia, 1996.
13. S.S. Vicinanza, T. Mukhopadhyay, and M.J. Prietula. Software-effort estimation: an exploratory study of expert performance. Information Systems Research, 2(4):243-262, December 1991.
14. S. Dzeroski and L. Todorovski. Discovering dynamics: From inductive logic programming to machine discovery. Journal of Intelligent Information Systems, 4:89-108, 1995.
15. L. Todorovski and S. Dzeroski. Declarative bias in equation discovery. In Proceedings of Fourteenth International Conference on Machine Learning, pages 376-384, San Mateo, CA, 1997. Morgan Kaufmann.