Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Performance and dependability evaluation of complex systems by means of dynamic stochastic models (e.g. Markov chains) may be impaired by the combinatorial explosion of their stat...
Souheib Baarir, Marco Beccuti, Claude Dutheillet, ...
Commercial off-the-shelf (COTS) middleware increasingly offers not only functional support for standard interfaces, but also the ability to optimize their resource consumption pat...
In software engineering, measurements can be used to monitor, understand and improve software processes as well as products and resource utilization. Commonly, measurement framewo...
This paper addresses the almost never-ending headache the role of documentation has given for software projects. Working software has been given recently a focus over comprehensive...