Model-driven development is the process of creating models of a software system and transforming them into source code. Since the stepwise transformations can be done automaticall...
Public health-related topics are difficult to identify in large conversational datasets like Twitter. This study examines how to model and discover public health topics and themes ...
Kyle W. Prier, Matthew S. Smith, Christophe G. Gir...
This paper addresses the challenge of generating test sets that achieve functional coverage, in the absence of a complete specification. The inductive testing technique works by p...
Neil Walkinshaw, Kirill Bogdanov, John Derrick, Ja...
This paper argues that the existing approaches to modeling and characterization of IC malfunctions are inadequate for test and yield learning of Deep Sub-Micron (DSM) products. Tr...
Wojciech Maly, Anne E. Gattiker, Thomas Zanon, Tho...
We present a framework for property testing where a partially ordered execution trace of a distributed system is modeled by a collection of communicating automata. We prove that th...
Hesham Hallal, Sergiy Boroday, Andreas Ulrich, Ale...