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ProTSA: A Testing Process for automotive software Domain

Journal of software Engineering and Applications 2024年第7期17卷 571-615页

作者： Renato Rafael Arcanjo Luiz Eduardo Galvão Martins Dirceu Lavoiser Fernandes Graci Department of Inovation and Science Federal University of Sao Paulo (UNIFESP) Sao Jose dos Campos Brazil Department of automotive Electronics Faculty of Technology of Sao Paulo (Fatec) Santo Andre Brazil

This study evaluates the development of a testing process for the automotive software domain, highlighting challenges stemming from the absence of adequate processes. The research demonstrates the application of Design Science Research methodology in developing, an automotive software testing process—ProTSA, using six functional testing modules. Additionally, the study evaluates the benefits of implementing ProTSA in a specific Original Equipment Manufacturer (OEM) using an experimental single-case approach with industry professionals’ participation through a survey. The study concludes that combining testing techniques with effective communication and alignment is crucial for enhancing software quality. Furthermore, survey data indicates that implementing ProTSA leads to productivity gains by initiating tests early, resulting in time savings in the testing program and increased productivity for the testing team. Future work will explore implementing ProTSA in cybersecurity, over-the-air software updates, and autonomous vehicle testing processes. .

关键词： Verification and Validation automotive software automotive Systems

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PERSIST—A Flexible and Automatically Verifiable software Architecture for the automotive Powertrain

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Journal of Electrical Engineering 2014年第3期2卷 108-115页

作者： Johannes Richenhagen Stefan Pischinger Axel Schloβer FEV GmbH Neuenhofstr. 181 Aachen 52078 Germany Institute for Combustion Engines Forckenbeckstraβe 4 Aachen 52074 Germany

Abstract： In the light of an increasing software complexity, many product variants and challenging market conditions, the automotive industry focuses two mitigation approaches： development processes and SW （software） architecture are standardized while model-driven software development technologies are progressively applied for series development. However, software architecture is subject to a continuous shift of requirements and boundary conditions. At the same time, process standards ensure necessary quality but also cause a dramatic increase of the SW development effort. There exists a methodical gap between process and market requirements on one hand and reusable standardized software functions with a high quality on the other. In this paper, an approach is presented that aims for the continuous extension of powertrain control software with increasing quality based on existing boundary conditions and a consequent methodical extension of existing technical concepts. We address this by the development of a sustainable software architecture which enables the safeguarding of consistent design principles and thus higher development efficiency. Moreover, it opens the door to a comprehensive quality assurance concept based on the agile software development principle Continuous Integration. Finally, the feasibility of this approach and software quality assessment results are shown by the application for a gasoline engine in the vehicle.

关键词： automotive software model-based software development SW architecture AUTOSAR continuous integration

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Algorithmic approaches for optimizing electronic control unit time using multi-rate sampling

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Control Theory and Technology 2018年第3期16卷 173-190页

作者： Rajorshee RAHA Pallab DASGUPTA Soumyajit DEY Department of Computer Science and Engineering Indian Institute of Technology Kharagpur India

With the emerging migration of automotive and other distributed control platforms from federated to integrated architectures, the need for optimal utilization of ECU （electronic control unit） bandwidth will become a key requirement in the implementation of embedded control features. This paper advocates the partitioning of the operating space of the plant and the use of minimal sampling rates in each partition without compromising the overall quality of control. At the heart of the proposed methodology are our algorithms that enable the choice of the partitions and the sampling rate for each partition. We demonstrate the efficacy of our methods on two case studies, namely an anti-lock braking system and a lane departure warning system. We also study the use of a supervisory controller that controls the switching among sampling rates for a combination of the two features.

关键词： Sampling period adaptive control stability automotive software embedded control system

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