ibe an abstract interpretation based framework for proving relationships between sizes of memory partitions. Instances of this framework can prove traditional properties such as m...
A requirement of any source language is to be rich in features and concise to use by the programmers. As a drawback, it is often too complex to analyse, causing research studies t...
Proof-carrying code (PCC) is a general framework that can, in principle, verify safety properties of arbitrary machine-language programs. Existing PCC systems and typed assembly l...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
This paper formulates a collaborative system for modeling business application. The system uses a Semantic Wiki to enable collaboration between the various stakeholders involved i...