1) AIS Special Interest Groups (2018), Association For Information Systems, https://aisnet.org/, Last Date Visit: 3 Oct 2018
2) Alter, S.L. Decision Support Systems: Current Practice and Continuing Challenge. Reading, MA: Addison-Wesley, 1980.
3) Bhandari S. (2016), FCM based conceptual framework for software effort estimation, 3rd IEEE International Conference on Computing for Sustainable Global Development (INDIACom), pp. 2584-2588.
4) Boehm B.W. (1987), Improving Software Productivity, IEEE Computer, Vol. 20, No. 9, pp.43.
5) Brooks F.P. Jr. (1975), The Mythical Man-Month. Essays on Software Engineering, Addison Wesley Longman, Inc., Boston.
6) Burstein F.; Holsapple C. W., Handbook on Decision Support Systems, Berlin: Springer Verlag, 2008
7) Daniel J. Power, Decision Support Systems: Concepts and Resources for Managers, Greenwood Publishing Group, 2002
8) Donzelli, P. (2006), A Decision Support System for Software Project Management. IEEE Software, Vol. 23(4): p. 67-75.
9) Holsapple, C.W., and A. B. Whinston (1996), Decision Support Systems: A Knowledge-Based Approach, West Publishing.
10) Jones C. (1981), Programming Productivity – Issues for the Eighties, IEEE Press, Silver Spring, MD.
11) Jones C. (1986), Programming Productivity, McGraw-Hill Book Co., NY.
12) Kan Qi ; Barry W. Boehm (2017), A light-weight incremental effort estimation model for use case driven projects, 28th IEEE Annual Software Technology Conference (STC), pp. 1-8.
13) Li Jun L., Jianming L., Yongqin1 J., Qingzhang C. (2008), Development of the Decision Support System for Software Project Cost Estimation, 2008 International Symposium on Information Science and Engineering.
14) Livermore J. (2005), Measuring Programmer Productivity, http://home.sprynet.com/-jgarriso/
15) Lunesu M.L., Münchb J., Marchesic M., Kuhrmann M. (2018), Using simulation for understanding and reproducing distributed software development processes in the cloud, Information and Software Technology, Vol. 103, PP. 226-238
16) Menzies. T, Port. D, Chen. Zh, Hihn. J. (2005), Validation Methods for Calibrating Software Effort Models, ICSE ACM.
17) Pashaei Barbin J., Rashidi H. (2015), A Decision Support System for Estimating Cost of Software Projects Using A Hybrid Of Multi-Layer Artificial Neural Network and Decision Tree, International Journal In Foundations Of Computer Science & Technology Vol.5 (6), PP 23-31.
18) Pressman R. S. (2014), Software Engineering: A Practitioner's Approach, 8th Edition, McGraw-Hill.
19) Rashidi H. (2014), Software Engineering-A programming approach,” 2nd edition., Allameh Tabataba’i University Press (in Persian), Iran.
20) Sangwan, Om Prakash (2017). Software effort estimation using machine learning techniques, Cloud Computing, Data Science & Engineering-Confluence, 2017 7th International Conference on. IEEE.
21) Sharda R ., Aronson J., Turban E. (2015), Business Intelligence and Analytics: Systems for Decision Support, 10th Edition, Pearson Prentice Hall.
22) Sommerville Y. (2018), Software Engineering, 10th Edition, Pearson Education.
23) Wagner J., Planners Lab Software, TeraData University Network, http://plannerslab.com/, Last Date Visit: 3 Oct 2018
24) Wang Y. (2006a), A Mathematical Model for Explaining the Mythic Man-Month, Proceedings of the 19th IEEE Canadian Conference onElectrical and Computer Engineering (CCECE'06), Ottawa, Canada, May.
25) Wang Y. (2006b), Software Engineering Foundations. A Transdisciplinary and Rigorous Perspective, CRC Software Engineering Series, Vol.2, CRC Press, USA.
26) Wood D. J. and B. Gray (1991), Towards a Comprehensive Theory of Collaboration, Journal of Applied Behavioral Science, 27(2), 139-162.
27) Venkataiah, V., Mohanty, R., Nagaratna, M. (2019), Application of Hybrid Techniques to Forecasting Accurate Software Cost Estimation, International Journal of Recent Technology and Engineering 7(6), pp. 408-412.
28) El Bajta, M., Idri, A. (2019), A Software Cost Estimation Taxonomy for Global Software Development Projects, ICSOFT 2019 - Proceedings of the 14th International Conference on Software Technologies, pp. 218-225.
29) Resmi, V., Vijayalakshmi, S. (2019), Kernel Fuzzy Clustering With Output Layer Self-Connection Recurrent Neural Networks for Software Cost Estimation, Journal of Circuits, Systems and Computers, Article in press.
30) Rivadeh, M., Khadivar, A. (2019), A model for software development cost Estimation with System Dynamic Approach, Iranian Journal of Information Processing Management 34(3), pp. 1343-1370.
31) Parthasarathi Patra, H., Rajnish, K. (2019), A New High-Performance Empirical Model for Software Cost Estimation, International Journal of Computer-Aided Engineering and Technology 11(4-5), pp. 601-612.
32) Naik, P., Nayak, S. (2019), Intelligence-Software Cost Estimation Model for Optimizing Project Management, Advances in Intelligent Systems and Computing 984, pp. 433-443.
33) Khan, M.S., Ul Hassan, C.A., Shah, M.A., Shamim (2018), A., Software Cost and Effort Estimation Using a New Optimization Algorithm Inspired by Strawberry Plant, ICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing, 8749003.
34) Prasad, B.M.G., Sreenivas, P.V.S., Veena, C., Software Project Effort Duration and Cost Estimation Using Regression Testing and Adaptive Firefly Algorithm (AFA) (2019), International
Journal of Engineering and Advanced Technology 8(2), pp. 104-111
)