Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
1 This paper presents a methodology to develop more modular parallel applications, based on aspect oriented programming. Traditional object oriented mechanisms implement applicatio...
As probabilistic computations play an increasing role in solving various problems, researchers have designed probabilistic languages that treat probability distributions as primit...
A Bayesian Network based mathematical model has been used for modelling Extreme Programming software development process. The model is capable of predicting the expected finish ti...
Program source is an intermediate representation of software; it lies between a developer’s intention and the hardware’s execution. Despite advances in languages and developme...
Geoffrey Lefebvre, Brendan Cully, Michael J. Feele...