Title :
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
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;
Conference_Titel :
Information Technology: New Generations (ITNG), 2010 Seventh International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-6270-4
DOI :
10.1109/ITNG.2010.35
