a three- stage algorithm for software cost and time estimation in fuzzy environment

in this paper an efficient three- stage algorithm is developed for software production cost and time estimation. first stage includes a hybrid model composed of cocomo and function points methods to increase estimation accuracy. second stage encompasses paired comparisons matrix of analytical hierarchy process to determine amount of any resources consumed in each step of software production by experts’ opinions. third stage concludes cost and time tables of production scheduling by using work break structure (wbs) and network models of project control. in whole of all stages of this paper, triangular fuzzy numbers are used to express uncertainty existed in succession and repetition of each production step, time of beginning, ending, the duration of each task and costs of them. retrieved results examined by 30 practical projects conclude accuracy of 93 percent for time estimation and 92 percent for cost one. also suggested algorithm is more accurate than cocomoіі 2000 algorithm as 50 percent based on examined problems.