Abstract-- Current systems are very often based on largescale, unpredictable and unreliable infrastructures. However, users of these systems increasingly require services with time...
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Abstract. Automated verification of memory safety and functional correctness for heap-manipulating programs has been a challenging task, especially when dealing with complex data ...
—Recent advances in automated functional testing of Graphical User Interfaces (GUIs) rely on deriving graph models that approximate all possible sequences of events that may be e...
To ensure high availability of telephone services, there is considerable interest in network management activities to develop competent fault management mechanisms. In this paper w...