In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
As computer systems continue to become more powerful and comdo programs. High-level abstractions introduced to deal with complexity in large programs, while simplifying human reas...
Kevin J. Hoffman, Patrick Eugster, Suresh Jagannat...
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...
Building reverse engineering or reengineering tools often requires parsers for many different programming languages. The diffusion of dialects and variants makes many available pa...
We describe a unified framework for random interpretation that generalizes previous randomized intraprocedural analyses, and also extends naturally to efficient interprocedural an...