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China Approves National Standard for Automotive Software Quality and Defect Management

Published: Updated: By 24TopNews Editorial Desk

China's State Administration for Market Regulation has approved national standard GB/T 48140-2026 on automotive software quality and defect management. The standard applies PDCA cycle and risk-based thinking across the full software lifecycle, from requirements analysis and design through integration, validation, release, upgrade and maintenance. It requires automakers, software suppliers and supply-chain organizations to establish quality and safety management systems, implement 10 key quality assurance activities, set review points for five critical processes, and manage defects including recalls via over-the-air updates.

The State Administration for Market Regulation (Standardization Administration of China) has approved and released the national standard "Automotive Software Quality and Defect Management Specification" (GB/T 48140-2026). As "software-defined vehicles" have become a core trend in the automotive industry, software gives vehicles intelligent experiences while also introducing new safety risks. The frequent occurrence of software defects, combined with the normalization of software iterative upgrades, imposes stricter systemic requirements on automotive software quality and defect management. The standard applies the PDCA cycle (Plan-Do-Check-Act) and risk-based thinking to establish automotive-grade software quality and defect management specifications covering the full lifecycle of automotive software, including requirements analysis, design and implementation, integration, verification and validation, release management, and upgrade and maintenance, providing a unified framework for software quality and defect management in the automotive industry.

In terms of quality planning, the standard requires automotive producers, software providers and related organizations upstream and downstream in the supply chain to establish software quality and safety management systems, implement 10 key quality assurance activities including software safety management, avoidance of historical issues, and status reporting and monitoring, adapt to multiple development models, and strengthen control requirements for various objects such as artificial intelligence software, embedded software and cloud software. In terms of process quality assurance, the standard specifies detailed requirements for implementing quality assurance activities at each stage of automotive software development, integrates key quality activities into software development projects, ensures that each stage is standardized and controlled and that software products meet specified requirements, and promotes the simultaneous implementation of quality requirements determined during the planning stage and development activities.

In terms of key process reviews and software risk assessment, the standard sets review points for five key processes: software project planning, requirements analysis, design and implementation, software integration, and verification and validation, and allows combined implementation based on actual project conditions. The standard requires the establishment of a software risk assessment mechanism, incorporates software issues at each stage into graded assessment, and promotes a shift in quality control from "post-event handling" to "defect prevention." In terms of software defect management, the standard sets out full-process requirements from information collection and analysis, software problem identification, investigation, analysis and assessment, to recall decisions, software repair preparation, recall implementation and effectiveness evaluation, and provides rules for implementing recalls through over-the-air (OTA) updates, achieving closed-loop handling and continuous improvement of software defects.

24TOPNEWS IMPACT INTELLIGENCE

Why this event matters

The event has a measured impact on 5 industrys. The strongest current signal is mixed for New Energy Vehicles, with intensity 55/100 and 70% confidence over a medium term horizon.

Automotive · 8.3

New Energy Vehicles

Direction
mixed
Intensity
55
Confidence
70%
Horizon
Medium term
Effective impact 0
Technology · 10.6

General Software & IT Services

Direction
positive
Intensity
50
Confidence
60%
Horizon
Medium term
Effective impact +22
Technology · 10.7

Enterprise Software

Direction
positive
Intensity
50
Confidence
60%
Horizon
Medium term
Effective impact +22
Automotive · 8.1

Auto Parts

Direction
mixed
Intensity
45
Confidence
65%
Horizon
Medium term
Effective impact 0
Technology · 10.4

Artificial Intelligence

Direction
mixed
Intensity
40
Confidence
55%
Horizon
Medium term
Effective impact 0

Impact figures are analytical estimates that combine direction, intensity, confidence and event importance. They are not investment advice.