We introduce a lightweight approach for reasoning about programs involving imperative data structures using the proof assistant Isabelle/HOL. It is based on shallow embedding of pr...
Lukas Bulwahn, Alexander Krauss, Florian Haftmann,...
During initial program comprehension, software engineers could benefit from knowing the most need-to-beunderstood classes in the system under study in order to kick-start their s...
This paper presents a SVM-based prediction approach for constructing personal recommendation system for TV programs. We have applied Support Vector Machine (SVM) to personal predi...
Abstract. We present techniques that enable source-level debugging for multiple languages at the cost of only modest programming effort. The key idea is to avoid letting debugging ...
The framework of multi-adjoint logic programming has shown to cover a number of approaches to reason under uncertainty, imprecise data or incomplete information. In previous works,...