The emerging Model-Driven Engineering paradigm advocates the use of models as first-class citizens in the software development process, while artifacts such as documentation and so...
In this paper we describe a framework for robust system maintenance that addresses specific challenges of data-centric applications. We show that for data-centric applications, cl...
Behzad Bordbar, Dirk Draheim, Matthias Horn, Ina S...
The specification of business processes is becoming a more and more critical aspect for organizations. Such processes are specified as workflow models expressing the logical preced...
An important demand in Model-Driven Development is the simple and efficient expression of model patterns. Current approaches tend to distinguish the language they use to express 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...