Fuzzy Dynamics in Software Project Simulation and Support

Established simulation techniques require quantification of relevant aspects of the entity whose behaviour is being investigated. The data expressing the quantification provides a disciplined link between the simulation model and the domain being modelled. In this connection, domains such as software projects or processes that are, for example, fuzzy, uncertain or lack precise data quantification, may present difficulties. Alternative paradigms must be established to capture, in some sense, the behaviour to be simulated. One such paradigm, complementary to existing techniques, is provided by fuzzy dynamics. Though appearing promising, this suggestion awaits validation in real-world situations.