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Software Erosion: A Critical Survey on the Scientific State of the Art
Authors: Prof. Dr. Rainer Koschke, Dr. Jan Harder, Dr. Saman Bazrafshan, University of Bremen Contribution - Embedded Software Engineering Congress 2018 Software erosion is the slow decay of the inner quality of software visible in a proliferation of Bad Smells. Bad Smells (also known as code smells or...
Is architectural development even relevant anymore?
And if so, how do we do it right today? Author: Jens Liebehenschel, Frankfurt University of Applied Sciences. Contribution - Embedded Software Engineering Congress 2018. This paper begins with a brief explanation of terms. The benefits of early architectural development will be discussed...
Case study: Terrain Awareness and Warning System
Automatic Parallelization of a Model-Based Design Authors: Peer Ulbig, Umut Durak, David Müller, German Aerospace Center (DLR), Oliver Oey, Timo Stripf, Michael Rückauer, emmtrix Technologies GmbH Contribution - Embedded Software Engineering Congress 2018 The German Aerospace Center (DLR)...
The “Standards” Way of Modeling
How I Learned to Stop Worrying and Love Modeling Authors: Robert Baillargeon, Sodius, Walter van der Heiden, Willert Software Tools Contribution - Embedded Software Engineering Congress 2018 With every new standard, there is a target of an improved process of engineering. However, to design vehicles no...
Guidelines Are a Modeler's Best Friend
An Introduction to Static Model Analysis Author: Dr. Simon Rösel, Model Engineering Solutions GmbH Presentation - Embedded Software Engineering Congress 2018 Model-based development is a modern method for developing embedded control systems. The desired system behavior...
Deep Learning in Vehicles
Use Cases for Machine Learning in Vehicles Author: Dr. Eduard Kromer, iNTENCE automotive electronics GmbH Contribution - Embedded Software Engineering Congress 2018 Terms like Artificial Intelligence, Machine Learning, and Deep Learning are on everyone's lips, also or especially because of the concrete...
Deploying AI and Machine Learning for the IoT
Edge Computing Applied to Auto and Industrial Applications Author: Markus Levy, NXP Semiconductors Contribution - Embedded Software Engineering Congress 2018 While AI, neural networks, and classical machine learning algorithms have been around for decades, these technologies have improved 1000x in 3...
Machine Learning – before the first step: Why? For whom?
An introduction for interested readers. Authors: Andy Yap, Gregor Schock, Fabio Ferreira, AKKA Automotive; Jens Bruno Wittek, AKKA Digital. Contribution - Embedded Software Engineering Congress 2018. Machine learning can generate added value in numerous application areas. Newcomers can learn about...