Prediction of Software Project Effort Estimation: A Case Study

—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.

[1]  Kavita Choudhary GA Based Optimization of Software Development Effort Estimation , 2010 .

[2]  Gary D. Boetticher,et al.  Using Machine Learning to Predict Project Effort: Empirical Case Studies in Data-Starved Domains , 2001 .

[3]  Charles R. Symons,et al.  Function Point Analysis: Difficulties and Improvements , 1988, IEEE Trans. Software Eng..

[4]  D. Ross Jeffery,et al.  Function Points in the Estimation and Evaluation of the Software Process , 1990, IEEE Trans. Software Eng..

[5]  Mohd Sadiq Prediction of Software Project Effort Using LinearRegression Model , 2013 .

[6]  Barry W. Boehm,et al.  Software Engineering Economics , 1993, IEEE Transactions on Software Engineering.

[7]  John E. Gaffney,et al.  Software Function, Source Lines of Code, and Development Effort Prediction: A Software Science Validation , 1983, IEEE Transactions on Software Engineering.

[8]  Claude E. Walston,et al.  A Method of Programming Measurement and Estimation , 1977, IBM Syst. J..

[9]  Iman Attarzadeh,et al.  Proposing a new software cost estimation model based on artificial neural networks , 2010, 2010 2nd International Conference on Computer Engineering and Technology.

[10]  Javed Ahmad,et al.  esrcTool: A Tool to Estimate the Software Risk and Cost , 2010, 2010 Second International Conference on Computer Research and Development.

[11]  Barbara A. Kitchenham,et al.  An investigation of analysis techniques for software datasets , 1999, Proceedings Sixth International Software Metrics Symposium (Cat. No.PR00403).

[12]  E. GaffneyJ.,et al.  Software Function, Source Lines of Code, and Development Effort Prediction , 1983 .

[13]  Christopher J. Lokan An empirical study of the correlations between function point elements [software metrics] , 1999, Proceedings Sixth International Software Metrics Symposium (Cat. No.PR00403).

[14]  Beizhan Wang,et al.  Estimation of software projects effort based on function point , 2009, 2009 4th International Conference on Computer Science & Education.

[15]  Tsoi Ho-Leung To Evaluate the Function Point Analysis: A Case Study , 2005 .

[16]  D. Gupta,et al.  Software estimation tool based on three -layer model for software engineering metrics , 2008, 2008 4th IEEE International Conference on Management of Innovation and Technology.

[17]  Chris F. Kemerer,et al.  An empirical validation of software cost estimation models , 1987, CACM.

[18]  Michelle Cartwright,et al.  Predicting with Sparse Data , 2001, IEEE Trans. Software Eng..

[19]  Arnaldo Dias Belchior,et al.  A Fuzzy Model for Function Point Analysis to Development and Enhancement Project Assessments , 2018, CLEI Electron. J..

[20]  Roger Pressman,et al.  Software Engineering: A Practitioner's Approach, 7Th Edition , 2009 .

[21]  Martin J. Shepperd,et al.  Estimating Software Project Effort Using Analogies , 1997, IEEE Trans. Software Eng..

[22]  Ingunn Myrtveit,et al.  Reliability and validity in comparative studies of software prediction models , 2005, IEEE Transactions on Software Engineering.