Testing complex Computer-Based Systems is not only a demanding but a very critical task. Therefore the use of models for generating test data is an important goal. Tool support du...
Many state-of-the-art statistical parsers for English can be viewed as Probabilistic Context-Free Grammars (PCFGs) acquired from treebanks consisting of phrase-structure trees enri...
The development of class models using the Rational Unified Process (RUP) requires complete, correct and unambiguous use case specification documents. The Use Case Driven Developmen...
Classical query expansion techniques such as the local context analysis (LCA) make use of term co-occurrence statistics to incorporate additional contextual terms for enhancing pa...
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...