Software product line modeling has received a great deal of attention for its potential in fostering reuse of software artifacts across development phases. Research on the testing...
We investigate the task of unsupervised constituency parsing from bilingual parallel corpora. Our goal is to use bilingual cues to learn improved parsing models for each language ...
Explaining how engineering devices work is important to students, engineers, and operators. In general, machine generated explanations have been produced from a particular perspec...
Software models provide independent perspectives onto software systems. Ideally, all models should use the same model element to describe the same part of a system. Practically, m...
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...