DocumentCode :
2042034
Title :
Prediction of software project effort using fuzzy logic
Author :
Sadiq, Mohd ; Mariyam, Farhana ; Ali, Aleem ; Khan, Shadab ; Tripathi, Pradeep
Author_Institution :
Comput. Eng. Lab., Jamia Millia Islamia (Central Univ.), New Delhi, India
Volume :
4
fYear :
2011
fDate :
8-10 April 2011
Firstpage :
353
Lastpage :
358
Abstract :
Software development effort estimation is a branch of forecasting that has received increased interest in academia as well as in the field of research and development. Predicting software effort with any acceptable degree remains challenging. In this paper we have developed 2 different linear regression models using fuzzy function point (FFP) and non fuzzy function point in order to predict the software project effort and further we have also considered that the entire projects are organic in nature i.e. the project size lies between 2 to 50 KLOC. After obtaining the software effort, project manager can control the cost and ensures the quality more accurately.
Keywords :
fuzzy logic; project management; regression analysis; software management; software quality; fuzzy logic; linear regression models; nonfuzzy function point; software development effort estimation; software project; Biological system modeling; Complexity theory; Computational modeling; Estimation; Mathematical model; Programming; Software; Function Point; Fuzzy Function Point; Mean Relative Error; Membership Function; Software Effort;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics Computer Technology (ICECT), 2011 3rd International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4244-8678-6
Electronic_ISBN :
978-1-4244-8679-3
Type :
conf
DOI :
10.1109/ICECTECH.2011.5941919
Filename :
5941919
Link To Document :
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