A Fully Automated, Deployment-Aware Testing Pipeline for IoT-Based Automotive Applications

• URL: http://arxiv.org/abs/2608.19752v1
• Date: Thu, 20 Aug 2026 07:56:32 GMT
• Title: A Fully Automated, Deployment-Aware Testing Pipeline for IoT-Based Automotive Applications
• Abstract summary: We present an end-to-end, deployment-aware testing pipeline for IoT-based automotive applications.<n>The pipeline combines requirement-driven test and code generation with large language model (LLM) and vision-language model (VLM) assistance.<n>It supports flexible, distributed deployment across geographically separated cyber-physical and IoT infrastructures.
• Score: 0.548313028306112
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Testing embedded software in modern vehicles is challenging due to system complexity, decentralized architectures, and strict safety and performance constraints. In this work, we present an end-to-end, deployment-aware testing pipeline for IoT-based automotive applications. The pipeline combines requirement-driven test and code generation with large language model (LLM) and vision-language model (VLM) assistance, and human-in-the-loop curation to reduce manual effort and improve consistency. Using Eclipse openDuT, it supports flexible, distributed deployment across geographically separated cyber-physical and IoT infrastructures, optimizing for node availability and cross-organizational coordination. For validation, we conduct a case study using a Child Presence Detection System (CPDS), achieving full functional requirement coverage across all 9 requirements and 100% Gherkin generation accuracy on the controlled requirement set. Distributed test execution across geographically separated ECUs via Eclipse openDuT confirms the pipeline's applicability to OEM--supplier testing workflows.

Related papers

• CADET: A Modular Platform for Evaluating Distributed Cooperative Autonomy in Connected Autonomous Vehicles [3.544599494530976]
  CADET is a modular platform for systematic and reproducible evaluation of distributed cooperative autonomy systems.<n>We show that distributed deployment choices shape safety, with V2V intent packets outperforming cloud-based perception and RSU-assisted perception sustaining safety until overloaded by concurrent requests.
  arXiv  Detail & Related papers  (2026-06-02T15:13:13Z)
• A Unified Experimental Architecture for Informative Path Planning: from Simulation to Deployment with GuadalPlanner [69.43049144653882]
  This paper introduces a unified architecture that decouples high-level decision-making from vehicle-specific control.<n>The proposed architecture is realized through GuadalPlanner, which defines standardized interfaces between planning, sensing, and vehicle execution.
  arXiv  Detail & Related papers  (2026-02-11T10:02:31Z)
• Rethinking Testing for LLM Applications: Characteristics, Challenges, and a Lightweight Interaction Protocol [83.83217247686402]
  Large Language Models (LLMs) have evolved from simple text generators into complex software systems that integrate retrieval augmentation, tool invocation, and multi-turn interactions.<n>Their inherent non-determinism, dynamism, and context dependence pose fundamental challenges for quality assurance.<n>This paper decomposes LLM applications into a three-layer architecture: textbftextitSystem Shell Layer, textbftextitPrompt Orchestration Layer, and textbftextitLLM Inference Core.
  arXiv  Detail & Related papers  (2025-08-28T13:00:28Z)
• GenAI for Automotive Software Development: From Requirements to Wheels [3.2821049498759094]
  This paper introduces a GenAI-empowered approach to automated development of automotive software.<n>The process starts with requirements as input, while the main generated outputs are test scenario code for simulation environment.<n>Our approach aims shorter compliance and re-engineering cycles, as well as reduced development and testing time when it comes to ADAS-related capabilities.
  arXiv  Detail & Related papers  (2025-07-24T09:17:13Z)
• Designing and Implementing Robust Test Automation Frameworks using Cucumber BDD and Java [0.0]
  This paper details a comprehensive approach to designing and implementing robust test automation frameworks.<n>By utilizing Cucumber BDD natural language syntax, the framework enables clear communication between technical and non-technical team members.<n>Java serves as the backbone for creating scalable, maintainable, and efficient test scripts.
  arXiv  Detail & Related papers  (2025-05-22T17:11:05Z)
• Automating a Complete Software Test Process Using LLMs: An Automotive Case Study [10.245216059506236]
  Vehicle API testing verifies whether the interactions between a vehicle's internal systems and external applications meet expectations.<n>This paper presents a system designed for the automated testing of in-vehicle APIs.
  arXiv  Detail & Related papers  (2025-02-06T12:10:01Z)
• Qualitative Analysis for Validating IEC 62443-4-2 Requirements in DevSecOps [0.8874671354802572]
  This paper focuses on the automated validation of ISA/ IEC 62443-4-2 standard component requirements. Our analysis demonstrates the coverage established by the currently available tools and sheds light on current gaps to achieve full automation.
  arXiv  Detail & Related papers  (2023-10-13T10:24:58Z)
• A General Framework for Verification and Control of Dynamical Models via Certificate Synthesis [54.959571890098786]
  We provide a framework to encode system specifications and define corresponding certificates. We present an automated approach to formally synthesise controllers and certificates. Our approach contributes to the broad field of safe learning for control, exploiting the flexibility of neural networks.
  arXiv  Detail & Related papers  (2023-09-12T09:37:26Z)
• A Requirements-Driven Platform for Validating Field Operations of Small Uncrewed Aerial Vehicles [48.67061953896227]
  DroneReqValidator (DRV) allows sUAS developers to define the operating context, configure multi-sUAS mission requirements, specify safety properties, and deploy their own custom sUAS applications in a high-fidelity 3D environment. The DRV Monitoring system collects runtime data from sUAS and the environment, analyzes compliance with safety properties, and captures violations.
  arXiv  Detail & Related papers  (2023-07-01T02:03:49Z)
• SOLIS -- The MLOps journey from data acquisition to actionable insights [62.997667081978825]
  In this paper we present a unified deployment pipeline and freedom-to-operate approach that supports all requirements while using basic cross-platform tensor framework and script language engines. This approach however does not supply the needed procedures and pipelines for the actual deployment of machine learning capabilities in real production grade systems.
  arXiv  Detail & Related papers  (2021-12-22T14:45:37Z)
• Reproducible Performance Optimization of Complex Applications on the Edge-to-Cloud Continuum [55.6313942302582]
  We propose a methodology to support the optimization of real-life applications on the Edge-to-Cloud Continuum. Our approach relies on a rigorous analysis of possible configurations in a controlled testbed environment to understand their behaviour. Our methodology can be generalized to other applications in the Edge-to-Cloud Continuum.
  arXiv  Detail & Related papers  (2021-08-04T07:35:14Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.