A. Albrecht, Software Function, Source Lines of Code, and Development Effort Prediction: A Software Science Validation, IEEE Transactions on Software Engineering, vol.9, issue.6, pp.639-648, 1983.
DOI : 10.1109/TSE.1983.235271

L. Angelis and I. Stamelos, A simulation tool for efficient analogy based cost estimation, Empirical Software Engineering, vol.5, issue.1, pp.35-68, 2000.
DOI : 10.1023/A:1009897800559

S. Bibi, I. Stamelos, and L. Angelis, Combining probabilistic models for explanatory productivity estimation, Information and Software Technology, vol.50, issue.7-8, pp.656-669, 2008.
DOI : 10.1016/j.infsof.2007.06.004

B. Boehm, Software engineering economics, 1981.

N. Chiu and S. Huang, The adjusted analogy-based software effort estimation based on similarity distances, Journal of Systems and Software, vol.80, issue.4, pp.628-640, 2007.
DOI : 10.1016/j.jss.2006.06.006

S. D. Conte, H. E. Dunsmore, and V. Y. Shen, Software Engineering Metrics and Models, 1986.

J. M. Desharnais, Analyse statistique de la productivitie des projets informatique a partie de la technique des point des fonction, 1989.

B. Efron and G. Gong, A leisurely look at the bootstrap, the jackknife, and crossvalidation . The American Statistician, pp.36-48, 1983.

G. R. Finnie, G. E. Wittig, and J. M. Desharnais, A comparison of software effort estimation techniques: Using function points with neural networks, case-based reasoning and regression models, Journal of Systems and Software, vol.39, issue.3, pp.281-289, 1997.
DOI : 10.1016/S0164-1212(97)00055-1

D. Goldberg, Genetic algorithms in search, optimization, and machine learning, 1989.

J. Holland, Adaptation in natural and artificial systems. The University of, 1975.

S. Huang and N. Chiu, Optimization of analogy weights by genetic algorithm for software effort estimation, Information and Software Technology, vol.48, issue.11, pp.1034-1045, 2006.
DOI : 10.1016/j.infsof.2005.12.020

C. Kemerer, An empirical validation of software cost estimation models, Communications of the ACM, vol.30, issue.5, pp.416-429, 1987.
DOI : 10.1145/22899.22906
URL : http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1002&context=icis1986

J. Keung and B. Kitchenham, Analogy-X: Providing Statistical Inference to Analogy-Based Software Cost Estimation, IEEE Transactions on Software Engineering, vol.34, issue.4, pp.471-484, 2008.
DOI : 10.1109/TSE.2008.34

B. Kitchenham, E. Mendes, and G. Travassos, Cross versus Within-Company Cost Estimation Studies: A Systematic Review, IEEE Transactions on Software Engineering, vol.33, issue.5, pp.316-329, 2007.
DOI : 10.1109/TSE.2007.1001
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.8862

J. Li and G. Ruhe, Analysis of attribute weighting heuristics for analogy-based software effort estimation method AQUA+, Empirical Software Engineering, vol.16, issue.3, pp.63-96, 2008.
DOI : 10.1007/s10664-007-9054-4

J. Li, G. Ruhe, A. Al-emran, and M. Richter, A flexible method for software effort estimation by analogy, Empirical Software Engineering, vol.4, issue.2, pp.65-106, 2007.
DOI : 10.1007/s10664-006-7552-4

A. Oliveira, P. Braga, R. Lima, and M. Cornélio, GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation, Information and Software Technology, vol.52, issue.11, pp.1155-1166, 2010.
DOI : 10.1016/j.infsof.2010.05.009

W. Schweizer, Numerical quantum dynamics, 2001.
DOI : 10.1007/0-306-47617-7

M. Shepperd and C. Schofield, Estimating software project effort using analogies, IEEE Transactions on Software Engineering, vol.23, issue.11, pp.736-743, 1997.
DOI : 10.1109/32.637387
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.426.7944