Variability-Aware Process Extension for Updating Cyber Physical Systems Over the Air

Guissouma, Houssem; Hohl, Carl Philipp; Stoll, Hannes; Sax, Eric

doi:10.1109/meco49872.2020.9134339

Cited by 9 publications

(4 citation statements)

References 15 publications

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“…Here, feature modeling is a widespread method to model the variant space of the product line. Features describe the variability points in a product line as well as their inter-dependencies [23]. Besides that, the mapping between features and implementation artifacts, such as ECUs or software components, is important for building system variants and maintaining traceability [22].…”

Section: /Maintmentioning

confidence: 99%

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Lifecycle Management of Automotive Safety-Critical Over the Air Updates: A Systems Approach

et al. 2022

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With the increasing importance of Over The Air (OTA) updates in the automotive field, maintaining safety standards becomes more challenging as frequent incremental changes of embedded software are regularly integrated into a wide range of vehicle variants. This necessitates new processes and methodologies with a holistic view on the backend, where the updates are developed and released, and the frontend (vehicle), to which the updates are deployed. In this paper, we introduce an approach, including a process and a methodology, for continuous contract-based design, validation and deployment of modular updates for variant-rich automotive systems. The approach considers the vehicle as part of its connected environment enclosing a backend and concentrates on safety-critical applications. In addition, we present the UPDateable Automotive Test dEmonstratoR (UPDATER), which is a mock-up for modern Electric/Electronic architectures including a backend and a frontend part. It serves as a prototype for developing, deploying and monitoring automotive OTA updates. In a case study based on UPDATER, we apply the approach to three exemplary updates of a variable Advanced Driver Assistance System (ADAS). We show how the updates development and management may be achieved in an efficient and agile way.

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Section: /Maintmentioning

confidence: 99%

“…For this, we use a feature tree and a variable architecture model, called 150% model; both will be introduced in section V-A. This step is called, according to [23], impact analysis. It results in a reduced variant model, named variant- representative model.…”

Section: B Pre-deploymentmentioning

confidence: 99%

Lifecycle Management of Automotive Safety-Critical Over the Air Updates: A Systems Approach

et al. 2022

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“…Often, an over-the-air update of the vehicle's software to eradicate the problem or vulnerability will be required. However, it must be ensured that an update does not jeopardize the safety of the vehicle [57]. Finally, new SIEM rules that capture the detected incident can be added to the correlation process to facilitate analysis of similar incidents in the future.…”

Section: ) Example Setupmentioning

confidence: 99%

Context-Aware Security for Vehicles and Fleets: A Survey

2021

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Vehicles are becoming increasingly intelligent and connected. Interfaces for communication with the vehicle, such as WiFi and 5G, enable seamless integration into the user's life, but also cyber attacks on the vehicle. Therefore, research is working on in-vehicle countermeasures such as authentication, access controls, or intrusion detection. Recently, legal regulations have also become effective that require automobile manufacturers to set up a monitoring system for fleet-wide security analysis. The growing amount of software, networking, and the automation of driving create new challenges for security. Context-awareness, situational understanding, adaptive security, and threat intelligence are necessary to cope with these everincreasing risks. In-vehicle security should be adaptive to secure the car in an infinite number of (driving) situations. For fleet-wide analysis and alert triage, knowledge and understanding of the circumstances are required. Context-awareness, nonetheless, has been sparsely considered in the field of vehicle security. This work aims to be a precursor to context-aware, adaptive and intelligent security for vehicles and fleets. To this end, we provide a comprehensive literature review that analyzes the vehicular as well as related domains. Our survey is mainly characterized by the detailed analysis of the context information that is relevant for vehicle security in the future.

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“…According to [2], highly configurable systems (e.g., embedded software) contain various constraints, and it requires extracting these constraints from software code to design valid configurations. This raises the need for a model that displays embedded software's integrated variants and constraints details to facilitate the functions verification and validation effort [3]. There are studies, e.g., [4]- [6] indicating that the constraints of embedded software are efficiently manageable and easily expressible with the help of a feature model.…”

Section: Introductionmentioning

confidence: 99%

Facilitating Reuse of Functions in Embedded Software

2022

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Developing software-intensive embedded systems is a significant challenge as embedded systems have become more complex and dynamic for integrating various constraints (e.g., real-time performance, design, and functional safety). In general, software practitioners reuse code to reduce development time for implementing required functionalities. However, embedded software development still lacks code reuse on a large scale due to its intricate constraints. This paper presents an approach to identifying reusable functions and their relationships from the legacy embedded software for faster development reducing functionality testing time. A python tool is developed to automatically extract the reusable functions and present them in a feature model. The search time for finding reusable functions speeds up when they are placed as features in a feature model. We conducted experiments on three GitHub embedded software projects (elevator, infotainment, and health monitoring systems). The experimental results find that our proposed approach reduces the feature search time by 59.0%, 49.8%, and 74.5%, respectively, compared to the manual searching approach for 50 features.

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Variability-Aware Process Extension for Updating Cyber Physical Systems Over the Air

Cited by 9 publications

References 15 publications

Lifecycle Management of Automotive Safety-Critical Over the Air Updates: A Systems Approach

Lifecycle Management of Automotive Safety-Critical Over the Air Updates: A Systems Approach

Context-Aware Security for Vehicles and Fleets: A Survey

Facilitating Reuse of Functions in Embedded Software

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