In the work presented here, we introduce a method to automatically generate a subset of a UML class model based on a user-defined criterion. The goal of this work is to allow us to...
Huzefa H. Kagdi, Jonathan I. Maletic, Andrew Sutto...
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
The paper deals with the problem of computing schedules for multi-threaded real-time programs. In [14] we introduced a scheduling method based on the geometrization of PV programs...
Computer programming is generally understood to be highly challenging and since its inception a wide range of approaches, tools and methodologies have been developed to assist in ...
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...