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TACAS
2009
Springer
127views Algorithms» more  TACAS 2009»
14 years 2 months ago
From Tests to Proofs
We describe the design and implementation of an automatic invariant generator for imperative programs. While automatic invariant generation through constraint solving has been exte...
Ashutosh Gupta, Rupak Majumdar, Andrey Rybalchenko
PTS
2008
152views Hardware» more  PTS 2008»
13 years 9 months ago
Model-Based Testing Service on the Web
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...
Antti Jääskeläinen, Mika Katara, An...
ASM
2005
ASM
14 years 1 months ago
Modeling and Testing Hierarchical GUIs
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)...
Ana Paiva, Nikolai Tillmann, João C. P. Far...
RSCTC
2010
Springer
160views Fuzzy Logic» more  RSCTC 2010»
13 years 6 months ago
Experienced Physicians and Automatic Generation of Decision Rules from Clinical Data
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, ...
NIPS
1997
13 years 9 months ago
Learning Generative Models with the Up-Propagation Algorithm
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...
Jong-Hoon Oh, H. Sebastian Seung