Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems
We present a prototype of a tool leveraging the synergy of model driven engineering (MDE) and Large Language Models (LLM) for the purpose of software development process automation in the automotive industry. In this approach, the user-provided input is free form textual requirements, which are firs...
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creator | Petrovic, Nenad Pan, Fengjunjie Lebioda, Krzysztof Zolfaghari, Vahid Kirchner, Sven Purschke, Nils Khan, Muhammad Aqib Vorobev, Viktor Knoll, Alois |
description | We present a prototype of a tool leveraging the synergy of model driven
engineering (MDE) and Large Language Models (LLM) for the purpose of software
development process automation in the automotive industry. In this approach,
the user-provided input is free form textual requirements, which are first
translated to Ecore model instance representation using an LLM, which is
afterwards checked for consistency using Object Constraint Language (OCL)
rules. After successful consistency check, the model instance is fed as input
to another LLM for the purpose of code generation. The generated code is
evaluated in a simulated environment using CARLA simulator connected to an
example centralized vehicle architecture, in an emergency brake scenario. |
doi_str_mv | 10.48550/arxiv.2404.05508 |
format | Article |
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engineering (MDE) and Large Language Models (LLM) for the purpose of software
development process automation in the automotive industry. In this approach,
the user-provided input is free form textual requirements, which are first
translated to Ecore model instance representation using an LLM, which is
afterwards checked for consistency using Object Constraint Language (OCL)
rules. After successful consistency check, the model instance is fed as input
to another LLM for the purpose of code generation. The generated code is
evaluated in a simulated environment using CARLA simulator connected to an
example centralized vehicle architecture, in an emergency brake scenario.</description><identifier>DOI: 10.48550/arxiv.2404.05508</identifier><language>eng</language><subject>Computer Science - Artificial Intelligence ; Computer Science - Computation and Language ; Computer Science - Software Engineering</subject><creationdate>2024-04</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2404.05508$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2404.05508$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Petrovic, Nenad</creatorcontrib><creatorcontrib>Pan, Fengjunjie</creatorcontrib><creatorcontrib>Lebioda, Krzysztof</creatorcontrib><creatorcontrib>Zolfaghari, Vahid</creatorcontrib><creatorcontrib>Kirchner, Sven</creatorcontrib><creatorcontrib>Purschke, Nils</creatorcontrib><creatorcontrib>Khan, Muhammad Aqib</creatorcontrib><creatorcontrib>Vorobev, Viktor</creatorcontrib><creatorcontrib>Knoll, Alois</creatorcontrib><title>Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems</title><description>We present a prototype of a tool leveraging the synergy of model driven
engineering (MDE) and Large Language Models (LLM) for the purpose of software
development process automation in the automotive industry. In this approach,
the user-provided input is free form textual requirements, which are first
translated to Ecore model instance representation using an LLM, which is
afterwards checked for consistency using Object Constraint Language (OCL)
rules. After successful consistency check, the model instance is fed as input
to another LLM for the purpose of code generation. The generated code is
evaluated in a simulated environment using CARLA simulator connected to an
example centralized vehicle architecture, in an emergency brake scenario.</description><subject>Computer Science - Artificial Intelligence</subject><subject>Computer Science - Computation and Language</subject><subject>Computer Science - Software Engineering</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotkM1ugzAQhH3poUr7AD3VLwA1YGz3GJH0R6LqgSpXtOCFWAITmZ-WPn2dNJeZb7XSSDOEPEQs5CpN2RO4H7OEMWc8ZP5Wt-S7WC26dqVDQ3NwLXq17QwePgaNHQWrr7RzZkFL97Y1FtEZ29JmcHQ7T0MPE2q6wwW74dSjnc5xmXcHnfn1rwMeTT134GixjhP24x25aaAb8f7qG1K87L-ytyD_fH3PtnkAQqoAOepKJLVOBQohnus4kqBEw5Mq5YppiLlkvOIRVkJVUnrgaS1l1KDGSCUb8vifeilenpzpwa3leYDyMkDyBx7PV5Y</recordid><startdate>20240408</startdate><enddate>20240408</enddate><creator>Petrovic, Nenad</creator><creator>Pan, Fengjunjie</creator><creator>Lebioda, Krzysztof</creator><creator>Zolfaghari, Vahid</creator><creator>Kirchner, Sven</creator><creator>Purschke, Nils</creator><creator>Khan, Muhammad Aqib</creator><creator>Vorobev, Viktor</creator><creator>Knoll, Alois</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20240408</creationdate><title>Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems</title><author>Petrovic, Nenad ; Pan, Fengjunjie ; Lebioda, Krzysztof ; Zolfaghari, Vahid ; Kirchner, Sven ; Purschke, Nils ; Khan, Muhammad Aqib ; Vorobev, Viktor ; Knoll, Alois</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a678-e4edb63cd56e6669c217a86f43b5480da24704b41eb68b7741e45c771fede183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Artificial Intelligence</topic><topic>Computer Science - Computation and Language</topic><topic>Computer Science - Software Engineering</topic><toplevel>online_resources</toplevel><creatorcontrib>Petrovic, Nenad</creatorcontrib><creatorcontrib>Pan, Fengjunjie</creatorcontrib><creatorcontrib>Lebioda, Krzysztof</creatorcontrib><creatorcontrib>Zolfaghari, Vahid</creatorcontrib><creatorcontrib>Kirchner, Sven</creatorcontrib><creatorcontrib>Purschke, Nils</creatorcontrib><creatorcontrib>Khan, Muhammad Aqib</creatorcontrib><creatorcontrib>Vorobev, Viktor</creatorcontrib><creatorcontrib>Knoll, Alois</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Petrovic, Nenad</au><au>Pan, Fengjunjie</au><au>Lebioda, Krzysztof</au><au>Zolfaghari, Vahid</au><au>Kirchner, Sven</au><au>Purschke, Nils</au><au>Khan, Muhammad Aqib</au><au>Vorobev, Viktor</au><au>Knoll, Alois</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems</atitle><date>2024-04-08</date><risdate>2024</risdate><abstract>We present a prototype of a tool leveraging the synergy of model driven
engineering (MDE) and Large Language Models (LLM) for the purpose of software
development process automation in the automotive industry. In this approach,
the user-provided input is free form textual requirements, which are first
translated to Ecore model instance representation using an LLM, which is
afterwards checked for consistency using Object Constraint Language (OCL)
rules. After successful consistency check, the model instance is fed as input
to another LLM for the purpose of code generation. The generated code is
evaluated in a simulated environment using CARLA simulator connected to an
example centralized vehicle architecture, in an emergency brake scenario.</abstract><doi>10.48550/arxiv.2404.05508</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Software Engineering |
title | Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems |
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