Re-imagining Automotive Software Development: RoHo-ASI Framework for SDV

The RoHo-ASI Framework reimagines automotive software development for Software-Defined Vehicle (SDV) by proposing a tailored agile methodology that bridges hardware-software codependencies and safety-critical requirements. Unlike traditional agile adaptations, it introduces an HO-Agile and an ASI model, aligning rapid iteration with ISO 26262 standards. The framework emphasizes role-oriented collaboration, integrating specialized expertise with continuous feedback loops, hardware-in-the-loop testing, and dynamic sprint cycles to address temporal mismatches and ensure safety compliance. A layered architecture separates safety critical and support functions, embedding traceability and modular safety cases into automated CI/CD pipelines. Validated through industrial case studies, RoHo-ASI outperforms traditional agile frameworks, achieving earlier issue identification and higher resolution rates, as evidenced by metrics like MPIGGR and IRR. Figures illustrate reduced issue escalation in later development stages, improving predictability and reliability. By harmonizing software agility with hardware constraints, the framework offers a scalable and efficient solution for SDV development, promising improved timelines and quality in safety-sensitive automotive systems.

Institutions

Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/seai65851.2025.11108774
Primary Topic
Seed Germination and Physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Re-imagining Automotive Software Development: RoHo-ASI Framework for SDV

Seed Germination and Physiology
article

Re-imagining Automotive Software Development: RoHo-ASI Framework for SDV

article en

Abstract

The RoHo-ASI Framework reimagines automotive software development for Software-Defined Vehicle (SDV) by proposing a tailored agile methodology that bridges hardware-software codependencies and safety-critical requirements. Unlike traditional agile adaptations, it introduces an HO-Agile and an ASI model, aligning rapid iteration with ISO 26262 standards. The framework emphasizes role-oriented collaboration, integrating specialized expertise with continuous feedback loops, hardware-in-the-loop testing, and dynamic sprint cycles to address temporal mismatches and ensure safety compliance. A layered architecture separates safety critical and support functions, embedding traceability and modular safety cases into automated CI/CD pipelines. Validated through industrial case studies, RoHo-ASI outperforms traditional agile frameworks, achieving earlier issue identification and higher resolution rates, as evidenced by metrics like MPIGGR and IRR. Figures illustrate reduced issue escalation in later development stages, improving predictability and reliability. By harmonizing software agility with hardware constraints, the framework offers a scalable and efficient solution for SDV development, promising improved timelines and quality in safety-sensitive automotive systems.

Shanghai Maritime University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 33%
Seed Germination and Physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.