We describe the design and implementation of an automatic invariant generator for imperative programs. While automatic invariant generation through constraint solving has been exte...
Abstract. Model-based testing (MBT) seems to be technically superior to conventional test automation. However, MBT features some difficulties that can hamper its deployment in indu...
Abstract. This paper presents a new approach to model and test hierarchical Graphical User Interfaces (GUIs). We exploit the structure of Hierarchical Finite State Machines (HFSMs)...
Abstract. Clinical Decision Support Systems embed data-driven decision models designed to represent clinical acumen of an experienced physician. We argue that eliminating physician...
William Klement, Szymon Wilk, Martin Michalowski, ...
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...