Fuzzy resource-constrained project scheduling problem for software development

This paper presents a new method to solve the resource- constrained project scheduling problem for software development. In this method, activity duration times are described as fuzzy variables and resource-constrained software project scheduling problems are described as fuzzy programming models. First, how to model the software project scheduling problem under the fuzzy environment conditions is proposed. Second, in order to satisfy the different requirements of decision-making, two novel fuzzy project scheduling models, expected cost model and credibility maximization model, are suggested. Third, a hybrid intelligent algorithm integrated by genetic algorithm and fuzzy simulation is designed to solve the above two fuzzy programming models. Numerical experiments illustrate the effectiveness of the hybrid intelligent algorithm.