In current scenario of software industries, Software effort estimation is very important task for software manager for successful completion of the project. Prediction is always challenging task and in recent days effort estimation take many researcher’s attention. Prediction with more accuracy is also an important for prediction models. We use Feed-Forward Neural Network for software development effort estimation. In this paper we have shown that, Feed-Forward Neural Network gives much better results than other prediction models. The simulated results shows that, simple Neural network model predict software development effort more accurately.

1. Gray, A. R. and MacDonell S. G. 1997. A comparison of techniques for developing predictive models of software metrics. Information and Software Technology 39.
2. Srinivasan, K. and Fisher, D. 1995. Machine Learning Approaches to Estimating Software Development Effort. IEEE transactions on software engineering.
3. Senyard, A., Dart, P. and Sterling L. 2000. Towards the Software Engineering of Neural Networks: A Maturity ModelIn proceeding of Software Engineering Conference, IEEE Xplore.
4. Moløkken, K. and Jørgensen, M. 2003. A Review of Surveys on Software Effort Estimation. In proceeding of International Symposium on Empirical Software Engineering,IEEE Xplore.
5. Idri, A., Abran, A. and Khoshgoftaar T. M. 2002. Estimating Software Project Effort by Analogy Based on Linguistic Values. In proceedings of the Eighth IEEE Symposium on Software Metrics (METRICS'02).
6. Moløkken, K. and Jørgensen, M. 2005. A Comparison of Software Project Overruns—Flexible versus Sequential Development Models. IEEE transactions on software engineering.
7. Idri, A., Khoshgoftaar T. M. and Abran, A. 2002. Can Neuaral Networks be easily interpreted in Software Cost Estimation? World Congress on Computational Intelligence, Honolulu, Hawaii.
8. Jørgensen, M. and Shepperd, M. 2007. A Systematic Review of Software Development Cost Estimation Studies. IEEE transactions on software engineering.
9. Idri, A., Abran, A. and Mbarki S. 2004. Validating and Understanding Software Cost Estimation Models based on Neural Networks. In proceeding of International Conference on Information and Communication Technologies:From Theory to Applications, IEEE Xplore.
10. Bailey, J. W. and Basili V. R. 1981. A meta model for software development resource expenditure. In proceedings of the International Conference on Software Engineering.
11. Tadayon, N. 2005. Neural Network Approach for Software Cost Estimation. Proceedings of the International Conference on Information Technology: Coding and Computing, IEEE Computer Society.
12. Foss, T., Stensrud, E.,Kitchenham, B. and Myrtveit, I. 2003. A Simulation Study of the Model Evaluation Criterion MMRE. IEEE transactions on software engineering.
13. I. F. de Barcelos Tronto, J. D. Simoes da Silva, N. Sant'Anna. 2007. Comparison of Artificial Neural Network and Regression Models in Software Effort Estimation. In proceeding of IEEEInternational Joint Conference on Neural Networks.
14. Bhatnagar, R., Bhattacharjee, V. and Ghose M. K. 2010. Software Development Effort Estimation – Neural Network vs. Regression Modeling Approach. International Journal of Engineering Science and Technology.

Feed-Forward Neural Network Software Develop Effort Effort Estimation Neural Network