Software Development Productivity Prediction of Small Programs Using Fuzzy Logic

  • Authors:
  • Cuauhtemoc Lopez-Martin;Ivica Kalichanin-Balich;Maria Elena Meda-Campana;Arturo Chavoya-Pena

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ITNG '10 Proceedings of the 2010 Seventh International Conference on Information Technology: New Generations
  • Year:
  • 2010

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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.