Prediction of Software Project Effort using Linear Regression Model

摘要：

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.

关键词： Software Effort Function point MRE

作者: MOHD. SADIQ ALEEM ALI SYED UVAID ULLAH SHADAB KHAN QAMARALAM

作者单位: Computer Engineering Laboratory, Section of Computer Engineering, University Polytechnic, Faculty of Department of Electrical and Electronics Engineering, Patel Institute of Technology (RGPV), Bhopal, Department of Computer Science and Information Technology, Sunder Deep College of Engineering and Te M.Tech. Scholar, Department of Computer Science and Engineering, AL-Falah School of Engineering and

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 433-437

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）