Towards Managing Variability in the Safety Design of an Automotive Hall Effect Sensor

Dimitri Van Landuyt 1 Steven Op de Beeck 1 Aram Hovsepyan 1 Sam Michiels 1 Wouter Joosen 1 Sven Meynckens 2 Gjalt De Jong 2 Olivier Barais 3 Mathieu Acher 3
1 KU Leuven - Katholieke Universiteit Leuven
2 Melexis [Ieper]
3 DiverSe - Diversity-centric Software Engineering
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
Abstract : This paper discusses the merits and challenges of adopting software product line engineering (SPLE) as the main development process for an automotive Hall Effect sensor. This versatile component is integrated into a number of automotive applications with varying safety requirements (e.g., windshield wipers and brake pedals). This paper provides a detailed explanation as to why the process of safety assessment and verification of the Hall Effect sensor is currently cumbersome and repetitive:~it must be repeated entirely for every automotive application in which the sensor is to be used. In addition, no support is given to the engineer to select and configure the appropriate safety solutions and to explain the safety implications of his decisions. To address these problems, we present a tailored SPLE-based approach that combines model-driven development with advanced model composition techniques for applying and reasoning about specific safety solutions. In addition, we provide insights about how this approach can reduce the overall complexity, improve reusability, and facilitate safety assessment of the Hall Effect sensor.
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Communication dans un congrès
18th International Software Product Line Conference, Sep 2014, Florence, Italy. 2014
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Dernière modification le : mercredi 16 mai 2018 - 11:24:07
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  • HAL Id : hal-01018938, version 1

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INRIA | IRISA | IRISA-D4 | UR1-UFR-ISTIC | UNIV-RENNES

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Dimitri Van Landuyt, Steven Op de Beeck, Aram Hovsepyan, Sam Michiels, Wouter Joosen, et al.. Towards Managing Variability in the Safety Design of an Automotive Hall Effect Sensor. 18th International Software Product Line Conference, Sep 2014, Florence, Italy. 2014. 〈hal-01018938〉

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