Estimating Software Effort Based on Use Case Point Model Using Sugeno Fuzzy Inference System

Author

Nassif, Ali Bou ; Capretz, Luiz Fernando ; Ho, Danny

Author_Institution

Dept. of ECE, Univ. of Western Ontario, London, ON, Canada

fYear

2011

fDate

7-9 Nov. 2011

Firstpage

393

Lastpage

398

Abstract

Software effort estimation is one of the most important tasks in software engineering. Software developers conduct software estimation in the early stages of the software life cycle to derive the required cost and schedule for a project. In the requirements stage, where most software estimation is conducted, the available information is usually imprecise or incomplete. In this paper, a new regression model is created for software effort estimation based on use case point model. Furthermore, a Sugeno Fuzzy Inference System (FIS) approach is applied on this model to improve the estimation. Results show that an improvement of 11% can be achieved in MMRE after applying the Sugeno fuzzy logic approach.

Keywords

fuzzy logic; fuzzy reasoning; life cycle costing; regression analysis; software engineering; MMRE; Sugeno fuzzy inference system; Sugeno fuzzy logic approach; regression model; software developer; software effort estimation; software engineering; software life cycle; use case point model; Equations; Estimation; Fuzzy logic; Mathematical model; Productivity; Software; Unified modeling language; Sugeno fuzzy logic; Use Case Points; early software estimation; software engineering;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on

Conference_Location

Boca Raton, FL

ISSN

1082-3409

Print_ISBN

978-1-4577-2068-0

Electronic_ISBN

1082-3409

Type

conf

DOI

10.1109/ICTAI.2011.64

Filename

6103354