Software cost estimation by fuzzy analogy for web hypermedia applications
Ali Idri, Azeddine Zahi, Alain Abran · 2006
Abstract. The aim of this paper is to evaluate the accuracy of Fuzzy Analogy for software cost estimation on a Web software dataset. Fuzzy Analogy is based on reasoning by analogy and fuzzy logic to estimate effort when software projects are described by linguistic values such as low and high. Linguistic values are represented in the Fuzzy Analogy estimation process with fuzzy sets. However, the descriptions given of the Web software attributes used are insufficient to empirically build their fuzzy representations. Hence, we have suggested the use of the Fuzzy C-Means clustering technique (FCM) and a Real Coded Genetic Algorithm (RCGA) to build these fuzzy representations. 1