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Editor-in-chief

 
Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
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IJIEE 2013 Vol.3(2): 200-203 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2013.V3.298

Prediction of Software Project Effort Using Linear Regression Model

Mohd Sadiq, Aleem Ali, Syed Uvaid Ullah, Shadab Khan, and Qamar Alam

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. After obtaining the software effort, project manager can arrange the project progress, control the cost and ensures the quality more accurately.

Index Terms—Software effort, function point, MRE.

Mohd Sadiq and Aleem Ali are with Section of Computer Engineering, University Polytechnic, Faculty of Engineering and Technology, Jamia Millia Islamia (A Central University), New Delhi-110025, India (e-mail: sadiq.jmi@gmail.com)
Syed Uvaid Ullah is with the Department of Electrical and Electronics Engineering, Patel Institute of Technology (RGPV), Bhopal, India.
Shadab Khan is with the Department of Computer Science andInformation Technology, Sunder Deep College of Engineering and Technology, Dasna, Ghaziabad, U.P., India, affiliated to U.P. Technical University, Lucknow, U.P, India.
Qamar Alam with the AL-Falah School of Engineering and Technology, Dhauj, Faridabad, affiliated to Maharshi Dayanand University, Rohtak, Haryana, India.

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Cite: Mohd Sadiq, Aleem Ali, Syed Uvaid Ullah, Shadab Khan, and Qamar Alam, "Prediction of Software Project Effort Using Linear Regression Model," International Journal of Information and Electronics Engineering vol. 3, no. 2, pp. 200-203, 2013.

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