Automotive Software Engineering: Past, Present, and Future

Dajsuren, Yanja; Brand, Mark van den

doi:10.1007/978-3-030-12157-0_1

Cited by 15 publications

(8 citation statements)

References 8 publications

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“…The added complexity is posed by usage of automotive Electronic Control Units (ECU) from a wide range of providers. These devices execute the embedded vehicular software, which can contain up to 100 million lines of code [3]. The inevitable time-consuming and inefficient software testing procedures, prior to integration into ECUs, are creating a conflict between the drive to improve existing functionalities and the need for their meticulous testing.…”

Section: The Automotive Tooling Challengementioning

confidence: 99%

A Rapid Prototyping System, Intelligent Watchdog and Gateway Tool for Automotive Applications

Dzambic

Kreuzberger

Veledar

et al. 2021

2021 IEEE 18th International Conference on Software Architecture Companion (ICSA-C)

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Hand in hand with the inevitable increase in vehicle connectivity solutions, the high security and safety demands for automotive embedded systems are emphasizing the importance of thorough testing of newly developed software components. The high quality of the software is ensured through the usage of various tools at the development stage. This paper introduces an implementation of such a tool, which is based on a standard microcontroller platform and provides functionalities of a Rapid Prototyping System (RPS). The implementation is based on the universal calibration protocol XCP and utilization of an XCP-Master controller. The tool also acts as an intelligent watchdog, as it enables close behavioural monitoring of novel functionalities within an Electronic Control Unit (ECU). That makes the tool especially suitable for dependable AI testing in the scope of safetycritical applications. This is potentially a crucial building block of a safety net for testing of novel functionalities on a 'grey-box-like' ECU. Furthermore, the XCP-Master controller also provides the possibility to utilize the platform as an Ethernet-CAN message gateway for access to remote devices.

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Section: The Automotive Tooling Challengementioning

confidence: 99%

A Rapid Prototyping System, Intelligent Watchdog and Gateway Tool for Automotive Applications

Dzambic

Kreuzberger

Veledar

et al. 2021

2021 IEEE 18th International Conference on Software Architecture Companion (ICSA-C)

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“…Product development projects of electronic-and software-based products have been challenged by an increase in external uncertainty within the last few years: Environmental crises and political tensions have led to supply chain uncertainties and fast regulatory changes (see e.g., Herrmann et al (2023)). Meanwhile, technology still advances with a high pace and user needs change frequently (Dajsuren and van den Brand, 2019). As a result, it is challenging to determine the product's major technical requirements with certainty before product development starts.…”

Section: Introductionmentioning

confidence: 99%

Modeling uncertain requirements

Block

2024

Proc. Des. Soc.

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Anticipating all technical requirements that a product must meet throughout its lifespan has become difficult due to a rise in market, regulatory, and technological uncertainty. As a result, the attribute values of these requirements may be highly uncertain at the start of product development. We propose a mathematical model that captures and quantifies this uncertainty in a clear and comprehensive manner. We evaluate the approach by encoding uncertain requirements for an automotive project. Misconceptions regarding probabilities are alleviated and the requirements are unambiguously defined.

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“…Autonomous driving vehicles (ADVs) seem to be the primary goal of nearly all car manufacturers since more highly automated driving systems are implemented into newly developed cars (1). Technical developments in the field are fast and continuously improving.…”

Section: Introductionmentioning

confidence: 99%

Talking cars, doubtful users - a population study in virtual reality

Nezami¹,

Wächter²,

Keshava³

et al. 2021

Preprint

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Autonomous vehicles as cognitive agents will be an important use case of artificial intelligence in modern societies. Investigating how to increase acceptance and trust, we created a self-explaining car, informing passengers before actions in virtual reality. This study investigates the attitude towards self-driving cars with data from 7850 participants. We show how gender and age affect the attitude towards autonomous vehicles, resulting in female participants being generally less trusting of overall conditions than male participants and a general decrease of acceptance with increasing age. Surprisingly, a self-explaining car providing the passenger with crucial traffic information, although it has a positive impact on trust but influences the intention of using such a car negatively. Therefore, we argue for a highly individualizable in-car communication that meets the adversarial needs of different demographic groups to enable human-machine interactions that foster safe traffic behavior and increase trust and the willingness to use such technology.

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Automotive Software Engineering: Past, Present, and Future

Cited by 15 publications

References 8 publications

A Rapid Prototyping System, Intelligent Watchdog and Gateway Tool for Automotive Applications

A Rapid Prototyping System, Intelligent Watchdog and Gateway Tool for Automotive Applications

Modeling uncertain requirements

Talking cars, doubtful users - a population study in virtual reality

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