Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry. However, based on well over a dozen case studies, we have learned that …

Over the years, a number of approaches have been proposed on the description of systems
and software in terms of multiple views represented by models. This modelling branch, so …

In 2017 and 2018, two events were held—in Marburg, Germany, and San Vigilio di
Marebbe, Italy, respectively—focusing on an analysis of the state of research, state of …

The advent of complex Cyber–Physical Systems (CPSs) creates the need for more efficient
engineering processes. Recently, DevOps promoted the idea of considering a closer …

During the development of large software-intensive systems, developers use several
modeling languages and tools to describe a system from different viewpoints. Model-driven …

Abstract Model merging conflicts occur when different stakeholders aim to integrate their
contradicting changes that are applied concurrently to update software models. We conduct …

Abstract The Internet of Things (IoT) is a technology that is growing faster every day due to
the large number of platforms and end-devices that are becoming connected to each other …

Software developers in big and medium-size companies are working with millions of lines of
code in their codebases. Assuring the quality of this code has shifted from simple defect …

This article presents the state of practice of consistency management in thirteen industrial
model-based development settings. Our analysis shows a tight coupling between adopting …

Fog Computing is a new paradigm aiming at decentralizing the Cloud by geographically
distributing away computation, storage and network resources as well as related services. In …