To date, there is little evidence that modular reasoning about fault-tolerant systems can simplify the verification process in practice. We study this question using a prominent e...
Scientific and statistical inferences build heavily on explicit, parametric models, and often with good reasons. However, the limited scope of parametric models and the increasin...
We analyze critically the use of classi cation accuracy to compare classi ers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learnin...
Purpose – How companies can become better at knowing what they know, and share what they know have in recent years become dominant fields of research within knowledge managemen...
Safety is an important requirement for many modern systems. To ensure safety of complex critical systems, well-known safety analysis methods have been formalized. This holds in pa...