Software Development Productivity Prediction of Small Programs Using Fuzzy Logic

Author

Lopez-Martin, Cuauhtemoc ; Kalichanin-Balich, Ivica ; Meda-Campaña, Maria Elena ; Chavoya-Peña, Arturo

Author_Institution

Guadalajara Univ., Guadalajara, Mexico

fYear

2010

fDate

12-14 April 2010

Firstpage

1295

Lastpage

1297

Abstract

In this paper, a fuzzy logic model was created from a data set of 140 small programs developed with practices based on Personal Software Process (PSP) and then this fuzzy model was applied for predicting the productivity of a new data set consisted of 60 small programs; all programs were developed with object oriented programming languages by 35 and 15 graduated programmers respectively. Accuracy result of this fuzzy logic model was compared with that of a statistical regression model. Results suggest that a fuzzy logic model could be used for estimating and predicting productivity of the software development.

Keywords

fuzzy set theory; object-oriented languages; object-oriented programming; regression analysis; software process improvement; fuzzy logic model; object oriented programming languages; personal software process; small programs; software development productivity prediction; software engineering education; statistical regression model; Fuzzy logic; Fuzzy sets; Fuzzy systems; Information technology; Object oriented modeling; Object oriented programming; Predictive models; Productivity; Programming profession; Software engineering; Software engineering education and training; fuzzy logic; software productivity prediction; statistical regression;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology: New Generations (ITNG), 2010 Seventh International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4244-6270-4

Type

conf

DOI

10.1109/ITNG.2010.35

Filename

5501570