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Volume 7 Issue 6
June 2026
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Engineering Management of Quality Ownership in Multi-Team EV Software Programs
| Author(s) | Abhishek Devgan |
|---|---|
| Country | India |
| Abstract | The emerging trend of software-defined electric vehicles (EVs) has essentially altered the engineering management environment, where a stringent control of quality ownership must be implemented in large multi-team automotive software programs. The structural and managerial processes by which quality responsibility is allocated, implemented, and maintained in the environment of distributed development involving cross-functional dependencies, regulatory complexity (ISO 26262, ISO 21434, ASPICE), and continuous delivery imperatives are researched. The industries, including Tesla, Volkswagen CARIAD, BMW Group, Rivian, Stellantis, and 15 other OEMs and Tier-1 suppliers, this study presents six overarching governance models, including centralized quality councils, platform-guild Quantitative results indicate that structured quality ownership decreases the post-release defect rates by 3772, shortens regulatory compliance cycles by up to 30 and reduces the cross-team integration defect density by an average of 51. This research also outlines the gap in the research of the theoretical models of governance and the scaled application in the fast-growing EV software programs. Among the major contributions, there is Quality Ownership Maturity Framework (QOMF), principles of governance design of multi-team EV programs, and recommendations on the engineering manager that will support them in the process of going through the software-defined vehicle transition. |
| Keywords | Quality Ownership, Engineering Management, Electric Vehicle Software, Multi-Team Governance, Automotive Software Quality, Software-Defined Vehicle, ASPICE, Agile Governance, Program Management, Quality Assurance, Defect Prevention, ADAS, OTA Updates, Quality Maturity. |
| Field | Engineering |
| Published In | Volume 5, Issue 10, October 2024 |
| Published On | 2024-10-08 |
| DOI | https://doi.org/10.5281/zenodo.20348023 |
| Short DOI | https://doi.org/hb48m5 |
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