References

Attarzadeh, I. and S.H. Ow, 2010. Improving the accuracy of software cost estimation model based on a new fuzzy logic model. World Appl. Sci. J., 8: 177-184.
Direct Link  |  

Borade, J.G. and V.R. Khalkar, 2013. Software project effort and cost estimation techniques. Intl. J. Adv. Res. Comput Sci. Software Eng., 3: 730-739.

Du, W.L., D. Ho and L.F. Capretz, 2015. Improving software effort estimation using neuro-fuzzy model with SEER-SEM. J. Comput. Sci. Technol., 10: 52-64.
Direct Link  |  

Finnie, G.R. and G.E. Wittig, 1996. AI tools for software development effort estimation. Proceeding of the International Conference on Software Engineering: Education and Practice January 24-27, 1996, IEEE, Dunedin, New Zealand, ISBN: 0-8186-7379-6, pp: 346-353.

Huang, X., D. Ho, J. Ren and L.F. Capretz, 2007. Improving the COCOMO model using a neuro-fuzzy approach. Appl. Soft Comput., 7: 29-40.
CrossRef  |  Direct Link  |  

Jodpimai, P., P. Sophatsathit and C. Lursinsap, 2010. Estimating software effort with minimum features using neural functional approximation. Proceeding of the International IEEE. Conference on Computational Science and its Applications March 23-26, 2010, IEEE, Fukuoka, Japan, ISBN: 978-0-7695-3999-7, pp: 266-273.

Jorgensen, M. and M. Shepperd, 2007. A systematic review of software development cost estimation studies. IEEE Trans. Software Eng., 33: 33-53.
CrossRef  |  

Kazemifard, M., A. Zaeri, N.G. Aghaee, M.A. Nematbakhsh and F. Mardukhi, 2011. Fuzzy emotional COCOMO II software cost estimation (FECSCE) using multi-agent systems. Appl. Soft Comput., 11: 2260-2270.
CrossRef  |  Direct Link  |  

Keung, J., 2008. Empirical evaluation of analogy-x for software cost estimation. Proceedings of the Second ACM-IEEE International Symposium on Empirical Software Engineering and Measurement October 09-10, 2008, ACM, New York, USA., ISBN: 978-1-59593-971-5, pp: 294-296.