Towards Single-System Illusion in Software-Defined Vehicles -- Automated, AI-Powered Workflow
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866913276828319744 |
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| author | Lebioda, Krzysztof Vorobev, Viktor Petrovic, Nenad Pan, Fengjunjie Zolfaghari, Vahid Knoll, Alois |
| author_facet | Lebioda, Krzysztof Vorobev, Viktor Petrovic, Nenad Pan, Fengjunjie Zolfaghari, Vahid Knoll, Alois |
| contents | We propose a novel model- and feature-based approach to development of vehicle software systems, where the end architecture is not explicitly defined. Instead, it emerges from an iterative process of search and optimization given certain constraints, requirements and hardware architecture, while retaining the property of single-system illusion, where applications run in a logically uniform environment. One of the key points of the presented approach is the inclusion of modern generative AI, specifically Large Language Models (LLMs), in the loop. With the recent advances in the field, we expect that the LLMs will be able to assist in processing of requirements, generation of formal system models, as well as generation of software deployment specification and test code. The resulting pipeline is automated to a large extent, with feedback being generated at each step. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_14460 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Towards Single-System Illusion in Software-Defined Vehicles -- Automated, AI-Powered Workflow Lebioda, Krzysztof Vorobev, Viktor Petrovic, Nenad Pan, Fengjunjie Zolfaghari, Vahid Knoll, Alois Software Engineering Artificial Intelligence Computation and Language D.2.1; D.2.2; D.2.4; I.2.7; I.2.2; I.7.0 We propose a novel model- and feature-based approach to development of vehicle software systems, where the end architecture is not explicitly defined. Instead, it emerges from an iterative process of search and optimization given certain constraints, requirements and hardware architecture, while retaining the property of single-system illusion, where applications run in a logically uniform environment. One of the key points of the presented approach is the inclusion of modern generative AI, specifically Large Language Models (LLMs), in the loop. With the recent advances in the field, we expect that the LLMs will be able to assist in processing of requirements, generation of formal system models, as well as generation of software deployment specification and test code. The resulting pipeline is automated to a large extent, with feedback being generated at each step. |
| title | Towards Single-System Illusion in Software-Defined Vehicles -- Automated, AI-Powered Workflow |
| topic | Software Engineering Artificial Intelligence Computation and Language D.2.1; D.2.2; D.2.4; I.2.7; I.2.2; I.7.0 |
| url | https://arxiv.org/abs/2403.14460 |