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Identifying and managing the risks of technical debt
Authors: Thomas Aicher, Huan Dong, Birgit Vogel-Heuser, Chair of Automation and Information Systems, TU Munich. Contribution - Embedded Software Engineering Congress 2017. Often, when solving a technical problem under time pressure, a choice must be made between a low-effort, "suboptimal" solution...
Effort drivers and cost assessment in modern software engineering
Being able to anticipate the "oh shit" mountain early on. Authors: Florian Schäffer, Andreas Lachenschmidt, iNTENCE automotive electronics. Contribution - Embedded Software Engineering Congress 2017. This presentation shows which pitfalls modern software engineering has for the effort and...
From the life of an embedded system
The Life Cycle from Cradle to Grave Authors: Alfred Ressenig, RealSkills, Remo Markgraf, MicroConsult Contribution - Embedded Software Engineering Congress 2017 Let's take a controller for a coffee machine and consider the life cycle of this embedded system from its inception...
Visualize Invisible Work
Transparency for Complex Problems and Projects Author: Matthias Künzi, visuellklar Contribution - Embedded Software Engineering Congress 2017 To develop efficient and effective solutions for software and systems, or to properly manage demanding projects, transparency is essential...
Scaling Agile!
Agile Frameworks at the Enterprise Level Author: Urs Böhm, Noser Engineering Contribution - Embedded Software Engineering Congress 2017 Agile Teams With the turn of the millennium, the Agile Manifesto and, consequently, agile methods such as Scrum and Kanban became established in software development. More and more...
Using conflicts as an opportunity
Clarifying and Resolving Conflicts Professionally Author: Peter Siwon, MicroConsult Contribution - Embedded Software Engineering Congress 2017 Who likes conflict? But if we take a realistic look at the world, or even just at our relationships with other people, we realize: conflicts are part of...
Neural Networks: Current Trends in the Industry
Author: Megha Daga, Cadence Design Systems Contribution - Embedded Software Engineering Congress 2017 Machine Learning and Neural Networks have experienced an accelerated growth in recent years, making their ways into various commercial products across many industries. The industries are facing a...
Perception: The Most Difficult Technical Challenge for Automated Driving
Improving Real-Time Perception with Deep Sensor Fusion Authors: Forrest Iandola, Ben Landen, DeepScale Contribution - Embedded Software Engineering Congress 2017 Today's mass-produced driver-assistance systems are typically implemented with a Late Fusion paradigm, which is described as follows: each...