A Comparative Study of Two Fuzzy Logic Models for Software Development Effort Estimation

AbstractSoftware development effort estimation (SDEE) has been the focus of research in recent years. No single software development estimation technique is best for all situations and linear regression (LR) has frequently been used for both small and industrial software projects. Fuzzy logic (FL) has been applied as an alternative technique to SDEE using a Mamdani Model. In order to compare the estimation accuracy of the Mamdani and Takagi-Sugeno fuzzy systems with that of an LR model, a sample of small projects was used to generate two FL models and an LR equation. Then the FL models and the LR equation were validated by estimating the effort of projects elaborated by other developers. This latter group of projects was subdivided into projects with Effort