In recent years, research on Key Performance Indicators (KPIs) management has grown
exponentially, giving rise to a multitude of heterogeneous approaches addressing any …

With the increasing adoption of process-aware information systems, large process model
repositories have emerged. Typically, the models in such repositories are re-aligned to real …

This book discusses how model-based approaches can improve the daily practice of
software professionals. This is known as Model-Driven Software Engineering (MDSE) or …

Enabling Flexibility in Process-Aware Information Systems: Challenges, Methods, Technologies
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Model transformations are touted to play a key role in Model Driven Development™.
Although well-established standards for creating metamodels such as the Meta-Object …

Abstract Model transformation lies at the very core of model-driven engineering, and a large
number of model transformation languages and tools have been proposed over the last few …

Defining a formal domain ontology is generally considered a useful, not to say necessary
step in almost every software project. This is because software deals with ideas rather than …

When dealing with complex systems, information is very often fragmented across many
different models expressed within a variety of (modeling) languages. To provide the relevant …

Robots are complex to develop due to the diversity of hardware, software components and
the absence of common standards. To deal with these problems, Model-Driven Engineering …

Abstract Model-based development promises to increase productivity by offering modeling
languages tailored to a specific domain. Such modeling languages are typically defined by a …