An engineering knowledge base for automotive R&D teams covering ASPICE, AI-assisted development, functional safety and toolchains.
How to extend automotive CI/CD from software to hardware? This article proposes a 3-layer architecture: central scheduling + HIL test cluster + traceability-enhanced ALM—solving expensive benches, queuing, idle capacity, and lack of traceability.
Why has ASPICE configuration management become a "documentation game"? This article explains what configuration management really is—not document stacking—and proposes toolchain automation and audit-by-sampling as the real solution.
Jira, the Agile all-rounder, thrived in the internet industry but stumbles in automotive V-model development. This article analyzes 4 limitations: dual document sources, traceability maze, change management gaps, and plugin over-customization.
Why do traditional OEMs struggle to build successful software subsidiaries? Driven by greed and fear, OEMs pursue 5 strategies—internal teams, independent software JVs, equity JVs, buying solutions, and scattered investments—each with different success rates.
Why do over half of automotive engineers resist Agile? This article analyzes 4 fundamental conflicts between Agile and automotive development—requirement decomposition, prioritization, sprint cadence, and version management—and explains why OEMs must embrace Agile anyway.
Why is ASPICE's V-model struggling in the age of automotive software revolution? This article deconstructs ASPICE version management hell—3 change options each with critical flaws—and explains why many teams freeze changes for 3 months at a time.
Every mass production project has two R&D universes: textbook ASPICE flow animations for auditors, and legacy code scattered across Jira, DOORS, WeChat, and random folders. This article dissects 4 absurd practices and proposes vertical tailoring as the fix.
From factory QA at NIO to smart cockpit testing to toolchain engineering at SAIC Zero-Base, this is the founding story of MappingSpace—born from firsthand pain points of fragmented tools, low efficiency, and heavy documentation in automotive software R&D.
What exactly does NIO's "systematic efficiency" mean? This article breaks it down across five dimensions: smart manufacturing, battery systems, connected devices, vehicle engineering, and global digital operations—examining battery swapping, software platformization, and organizational transparency.
How to link automated test scripts to textual requirements in automotive development? This article analyzes 3 major challenges of automation traceability and provides a 3-step solution: annotate requirement IDs in test comments, auto-generate traceability matrices, and auto-maintain matrix updates.
ASPICE requires too much documentation—but can we meet the standard while reducing document workload? This article categorizes the 4 most time-consuming ASPICE document types and proposes a core approach: don't write documents separately; treat tasks as documents and auto-generate audit evidence.
Why does the automotive industry need baseline management? Baselines are not just recording a starting point—they capture every moment of project requirements and all changes from the original. This guide explains what baselines are, why they matter, and six core principles for baseline management.