Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
A number of strategies have been proposed for state-based class testing. An important proposal was made by Chow [5] and adapted by Binder [3]: It consists in deriving test sequenc...
Giuliano Antoniol, Lionel C. Briand, Massimiliano ...
This paper introduces a finite memory compactor called convolutional compactor that provides compaction ratios of test responses in excess of 100x even for a very small number of ...
Janusz Rajski, Jerzy Tyszer, Chen Wang, Sudhakar M...
We present a formal theory of model-based testing, an algorithm for test generation based on it, and outline how testing is implemented by a diagnostic engine. The key to making t...
This paper is concerned with obtaining necessary and sufficient conditions for fulfilling specified state and control pointwise-in-time constraints against a certain class of nonli...