Wed 17 Jul 2024 14:36 - 14:54 at Mandacaru - Empirical Studies 1 Chair(s): Ronnie de Souza Santos

The automotive industry is changing due to digitization, a growing focus on software, and the increasing use of electronic control units. Consequently, automotive engineering is shifting from hardware-focused towards software-focused platform concepts to address these challenges. This shift includes adopting and integrating methods like electrics/electronics platforms, software product-line engineering, and product generation. Although these concepts are well-known in their respective research fields and different industries, there is limited research on their practical effectiveness and issues—particularly when implementing and using these concepts for modern automotive platforms. The lack of research and practical experiences challenges particularly decision makers, who cannot build on reliable evidence or techniques. In this paper, we address this gap by reporting on the state-of-practice of supporting the decision making for managing automotive electrics/electronics platforms, which integrate hardware, software, and electrics/electronics artifacts. For this purpose, we conducted 26 interviews with experts from the automotive domain. We derived questions from a previous mapping study in which we collected current research on product-structuring concepts, aiming to derive insights on the consequent practical challenges and requirements. Specifically, we contribute an overview of the requirements and criteria for (re)designing the decision-making process for managing electrics/electronics platforms within the automotive domain from the practitioners’ view. Through this, we aim to assist practitioners in managing electrics/electronics platforms, while also providing starting points for future research on a real-world problem.

Wed 17 Jul

Displayed time zone: Brasilia, Distrito Federal, Brazil change

14:00 - 15:30
Empirical Studies 1Industry Papers / Research Papers / Journal First at Mandacaru
Chair(s): Ronnie de Souza Santos University of Calgary
14:00
18m
Talk
An Empirical Study on Focal Methods in Deep-Learning-Based Approaches for Assertion Generation
Research Papers
Yibo He Peking University, Jiaming Huang Peking University, Hao Yu Peking University, Tao Xie Peking University
14:18
18m
Talk
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Applications
Research Papers
Shuqing Li The Chinese University of Hong Kong, Cuiyun Gao Harbin Institute of Technology, Jianping Zhang The Chinese University of Hong Kong, Yujia Zhang Harbin Institute of Technology, Yepang Liu Southern University of Science and Technology, Jiazhen Gu The Chinese University of Hong Kong, Yun Peng The Chinese University of Hong Kong, Michael Lyu The Chinese University of Hong Kong
DOI Pre-print
14:36
18m
Talk
Decision Making for Managing Automotive Platforms: An Interview Survey on the Sate-of-Practice
Industry Papers
Philipp Zellmer Volkswagen AG & Harz University of Applied Sciences, Jacob Krüger Eindhoven University of Technology, Thomas Leich Harz University of Applied Sciences, Germany
14:54
18m
Talk
Evaluation framework for autonomous systems: the case of Programmable Electronic Medical Systems
Journal First
Andrea Bombarda University of Bergamo, Silvia Bonfanti University of Bergamo, Martina De Sanctis Gran Sasso Science Institute, Angelo Gargantini University of Bergamo, Patrizio Pelliccione Gran Sasso Science Institute, L'Aquila, Italy, Elvinia Riccobene Computer Science Dept., University of Milan, Patrizia Scandurra University of Bergamo, Italy
15:12
18m
Talk
Insights into Transitioning towards Electrics/Electronics Platform Management in the Automotive Industry
Industry Papers
Lennart Holsten Volkswagen AG & Harz University of Applied Sciences, Jacob Krüger Eindhoven University of Technology, Thomas Leich Harz University of Applied Sciences, Germany