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Braga, P.L, Oliveira, A.L.I, Ribeiro, G.H.T. and Meira, S.R.L. (2007) “Bagging predictors for<br />

estimation of software project effort”, IEEE International Joint Conference on Neural<br />

Networks: 1595–1600<br />

Burgess, C.J. and Lefley, M. (2001) “Can genetic programming improve software effort<br />

estimation? A comparative evaluation”, Information and Software Technology, vol. 43,<br />

no. 14: 863-873<br />

Chiang, A.C. and Wainwright, K. (2005) Fundamental Methods of Mathematical Economics,<br />

McGraw Hill Publishers, New York, NY<br />

Chulani, S. Boehm, B.W. and Steece, B. (1999) “Bayesian analysis of empirical software<br />

engineering cost models”, IEEE Transactions on Software Engineering, vol. 25, no. 4:<br />

573-58<br />

Conte, S. Dunsmore, H. and Shen, V. (1986) Software Engineering Metrics and Models,<br />

Benajmin/Cummings, Reading, MA<br />

Cuadrado Gallego, J.J. Rodríguez, D. Sicilia, M.A. Garre Rubio, M.A. and García Crespo, A.<br />

(2007) “Software Project effort estimation based on multiple parametric models<br />

generated through data clustering”, Journal of Computer Science and Technology, vol.<br />

22, no. 3: 371-378<br />

De Barcelos, I.F. Da Silva, J.D.S. and Sant’Anna, N. (2007) “Comparison of artificial neural<br />

tework and regression models in software effort estimation”, in <strong>Proceedings</strong> of<br />

International Joint Conference on Neural Networks, Orlando, FL., USA, August 12-17<br />

Desharnais, J.M. (1989) Analyse Statistique de la Productivie des Projects Informatiques a<br />

Partie de la Technique des Points des Function, Montreal: University of Montreal,<br />

Master thesis<br />

Dolado, (2001) “On the problem of the software cost function”, Information and Software<br />

Technology, vol. 43, no. 1: 61-72<br />

Elish, M.O. (2009) “Improved estimation of software project effort using multiple additive<br />

regression trees”, Expert Systems with Applications, vol. 36, no. 7: 10774-10778<br />

El-Sebakhy, E.A. (2011) “Functional networks as a novel data mining paradigm in<br />

forecasting software development efforts”, Expert Systems with Applications, vol. 38:<br />

2187-2194<br />

Fenton, N. and Pfleeger, S. (1997) Software Metrics: A Rigorous & Practical Approach,<br />

Boston: PWS Publishing<br />

Foss, T. Stensrud, E. Kitchenham, B. and Myrtveit, I. (2003) “A simulation study of the<br />

model evaluation criterion MMRE”, IEEE Transactions on Software Engineering,<br />

vol. 29: 985-995<br />

Hale, J. Parrish, A. Dixon, B. and Smith, R.K. (2000) “Enhancing the Cocomo estimation<br />

models”, IEEE Software, vol. 17, no. 66: 45-49<br />

Heiat, A. (2002) “Comparison of artificial neural network and regression models for<br />

estimating software development effort”, Information and Software Technology,<br />

vol. 44, no. 15: 911-922<br />

Heinrich, A. (1997) “Repository based software cost estimation”. In A. Hameurlain and A.M.<br />

Tjoa (Eds.) <strong>Proceedings</strong> of the 8 th International Conference on Database and Expert<br />

Systems Applications (DEXA97), Springer, Lecture Notes in Computer Science, 1308:<br />

653-662, Toulouse, France<br />

Hu, Q. (1997) “Evaluating alternative software production functions”, IEEE Transactions on<br />

Software Engineering, vol. 23, no. 6: 379-387<br />

Hu, Q. Plant, R.T. and Hertz, D.B. (1998) “Software Cost Estimation Using Economic<br />

Production Models”, Journal of Management Information Systems, vol. 15, no. 1:<br />

143-163<br />

Jones, C. (1986) Programming Productivity, McGraw-Hill, Ney York<br />

Jørgensen, M. (2004) “A review of studies on expert estimation of software development<br />

effort”, The Journal of Systems and Software, vol. 70, no. 1-2: 37-60<br />

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