Many organizations are using measurement as a means to improve their software development and maintenance processes. A reasonable consensus has been reached about the main success...
Software testing can only be formalized and quanti ed when a solid basis for test generation can be de ned. Tests are commonly generated from program source code, graphical models ...
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Abstract. This paper proposes an approach which utilizes natural language processing (NLP) and ontology knowledge to automatically denote the implicit semantics of textual requirem...
Abstract. Model-driven development is a field within software engineering in which software artifacts are represented as models in order to improve productivity, quality, and cost ...