T. Nguyen, F. Marmier, D. L. Gourc-]-s, F. Pfleeger, R. Wu et al., Software Cost Estimation And Sizing Methods: Issues And Guidelines Towards an early software estimation using log-linear regression and a multilayer perceptron model », Journal of Systems and Software A contingency estimation model for software projects Exploring the relationship between software project duration and risk exposure: A cluster analysis », Information & Management Estimating the effects of project risks in software development projects Of Acceptable Risk: Science and the Determination of Safety Software risk management: principles and practices Portfolio approach to information systems Toward an assessment of software development risk, International Journal of Production Economics International Journal of Project Management. Lowrance IEEE Software Harvard Business Review J. Manage. Inf. Syst, vol.142, issue.10, pp.144-160, 1981.

]. L. Wallace, M. Keil, and A. Rai, How Software Project Risk Affects Project Performance: An Investigation of the Dimensions of Risk and an Exploratory Model* , Decision Sciences Software development risk management model: a goal driven approach, Proceedings of the doctoral symposium for ESEC/FSE on Doctoral symposium, pp.289-321, 2004.

S. Han and . Huang, Risk Management Guide for Dod Acquisition General Books Software Cost Estimation with Cocomo II , Prentice-Hall, New Jersey An empirical analysis of risk components and performance on software projects A comparative evaluation on the accuracies of software effort estimates from clustered data, Information and Software Technology, 42?50. [16] 879?888. [17] A. M. Neto, L. Rittner, N. Leite, D. E. Zampieri, R, 2000.

A. Lotufo, L. Mendeleck, H. Tang, L. Liu, T. Liu et al., Pearson's Correlation Coefficient for Discarding Redundant Information in Real Time Autonomous Navigation System, IEEE International Conference on Control Applications, 2007.

]. P. Kirawkowski21, L. Sentas, I. Angelis, G. Stamelos, S. Bleris et al., Software engineering economics Upper Saddle River Software productivity and effort prediction with ordinal regression , Information and Software Technology A smart guide to dummy variables: four applications and a macro Software development cost estimation: Integrating neural network with cluster analysis, Information & Management Reliability of function points measurement: a field experiment, 1?9. [24] S. D. Conte Software Engineering Metrics and Models, pp.85-97, 1981.