doi: 10.7763/IJMO.2011.V1.7
Prediction of Software Project Effort Estimation: A Case Study
Mohd. Sadiq
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- 1 Computer Engineering Laboratory, Section of Computer Engineering, University Polytechnic, Faculty of Engineering and Technology, Jamia Millia Islamia (A Central University), New Delhi- 110025, India.
- 2 Department of Computer Science and Engineering, AL-Falah School of Engineering and Technology, Dhauj, Faridabad, affiliated to Maharshi Dayanand University, Rohtak, Haryana, India.
- 3 Department of Computer Science and Information Technology, Sunder Deep College of Engineering and Technology, Dasna, Ghaziabad, U.P., India, affiliated to U.P. Technical University, Lucknow, U.P, India
Abstract
It is well known fact that predicting software effort for the software development projects with any acceptable degree remains challenging. In this paper we have used the organic software projects because in each case the projects size lies between 2-50 KLOC. In this paper we have applied the linear regression model i.e. Effort = -1.5 + 0.1804 FP to predict the software project effort and function point, and on the basis of the fuzzy logic we have also predicted the software project effort. After obtaining the software effort, project manager can arrange the project progress, control the cost and ensures the quality more accurately.
Keywords
- Software Effort
- Function Point
- MRE
- Fuzzy Function Point
- Membership Function
- Mean Relative Error
How to Cite
Mohd. Sadiq, Mohammad Asim, Javed Ahmed, Vinish Kumar, and Shadab Khan, "Prediction of Software Project Effort Estimation: A Case Study," International Journal of Modeling and Optimization, vol. 1, no. 1, pp. 37-43, 2011. https://doi.org/ 10.7763/IJMO.2011.V1.7
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).