A Formal Model for Software Project Management
IEEE Transactions on Software Engineering
Software engineering: a holistic view
Software engineering: a holistic view
Fuzzy project scheduling system for software development
Fuzzy Sets and Systems - Special issue on operations research
Minimizing resource availability costs in time-limited project networks
Management Science
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
A Net Practice for Software Project Management
IEEE Software
Expected value operator of random fuzzy variable and random fuzzy expected value models
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Scheduling Software Projects to Minimize the Development Time and Cost with a Given Staff
APSEC '01 Proceedings of the Eighth Asia-Pacific on Software Engineering Conference
Time-line based model for software project scheduling with genetic algorithms
Information and Software Technology
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Solving software project scheduling problems with ant colony optimization
Computers and Operations Research
A fuzzy time-dependent project scheduling problem
Information Sciences: an International Journal
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This paper presents a new method that describes activity duration times, which can be as random fuzzy variables to solve the software project scheduling problem. It solves the problem of the present classic models, such as PERT and CPM, which are weak in solving project scheduling problem for software development due to the concurrent, iterative and evolutionary nature characteristics of software projects. Next, a novel stochastic software project scheduling model --expected cost model --is suggested. Furthermore, basing on genetic algorithm and random fuzzy simulation, a hybrid intelligent algorithm is designed to solve the expected cost model. Numerical experiments illustrate the effectiveness of the hybrid intelligent algorithm.