| Deliverable | Content | Tool |
|---|---|---|
| Stakeholder map | All stakeholders; roles; concerns | Markdown / spreadsheet |
| Architecture concern register | Each concern linked to view and artefact | YAML register |
| View assignment matrix | Which stakeholder reviews which view | Table |
Lab: Architecture Stakeholder Analysis
Exercise 1: Stakeholder Register
YAMLstakeholder_register.yaml
# E/E Architecture Stakeholder Register
project: "Zone Vehicle EEA v2.0"
stakeholders:
- id: STK-001
name: "OEM System Architect"
concerns:
- "All functional requirements allocated to architecture"
- "Architecture consistent with vehicle platform strategy"
- "Cost targets met (ECU count, harness weight)"
primary_views: [functional, logical, physical]
review_role: "Approver"
- id: STK-002
name: "ISO 26262 Safety Manager"
concerns:
- "ASIL decomposition valid at architecture level"
- "Safety goals allocated to correct ECUs"
- "Freedom from interference between ASIL partitions"
primary_views: [safety, logical]
review_role: "Approver"
- id: STK-003
name: "Network / Communication Engineer"
concerns:
- "Bus load < 60% on all networks"
- "Latency requirements met for safety-critical signals"
- "Gateway routing table complete and consistent"
primary_views: [communication, physical]
review_role: "Reviewer"
- id: STK-004
name: "Tier-1 Supplier (Zone ECU)"
concerns:
- "Interface specifications complete before design start"
- "ASIL requirements clear and testable"
- "Memory budget (ROM/RAM) achievable"
primary_views: [logical, physical, safety]
review_role: "Reviewer"Summary
Stakeholder analysis is the first activity in any architecture project because it determines what the architecture must communicate -- not what it must compute. An architecture that satisfies all requirements but fails to address the concerns of the ISO 26262 safety manager (ASIL decomposition validity) or the Tier-1 supplier (complete interface specifications) will not be approved. The concern register converts each stakeholder's concerns into specific architecture artefacts that must be produced: the safety manager's concern about ASIL decomposition requires a safety concept document; the network engineer's concern about bus load requires a bus load analysis. Without this mapping, architecture teams produce comprehensive models that address internal concerns but miss the specific evidence their reviewers need.
🔬 Deep Dive — Core Concepts Expanded
This section builds on the foundational concepts covered above with additional technical depth, edge cases, and configuration nuances that separate competent engineers from experts. When working on production ECU projects, the details covered here are the ones most commonly responsible for integration delays and late-phase defects.
Key principles to reinforce:
- Configuration over coding: In AUTOSAR and automotive middleware environments, correctness is largely determined by ARXML configuration, not application code. A correctly implemented algorithm can produce wrong results due to a single misconfigured parameter.
- Traceability as a first-class concern: Every configuration decision should be traceable to a requirement, safety goal, or architecture decision. Undocumented configuration choices are a common source of regression defects when ECUs are updated.
- Cross-module dependencies: In tightly integrated automotive software stacks, changing one module's configuration often requires corresponding updates in dependent modules. Always perform a dependency impact analysis before submitting configuration changes.
🏭 How This Topic Appears in Production Projects
- Project integration phase: The concepts covered in this lesson are most commonly encountered during ECU integration testing — when multiple software components from different teams are combined for the first time. Issues that were invisible in unit tests frequently surface at this stage.
- Supplier/OEM interface: This is a topic that frequently appears in technical discussions between Tier-1 ECU suppliers and OEM system integrators. Engineers who can speak fluently about these details earn credibility and are often brought into critical design review meetings.
- Automotive tool ecosystem: Vector CANoe/CANalyzer, dSPACE tools, and ETAS INCA are the standard tools used to validate and measure the correct behaviour of the systems described in this lesson. Familiarity with these tools alongside the conceptual knowledge dramatically accelerates debugging in real projects.
⚠️ Common Mistakes and How to Avoid Them
- Assuming default configuration is correct: Automotive software tools ship with default configurations that are designed to compile and link, not to meet project-specific requirements. Every configuration parameter needs to be consciously set. 'It compiled' is not the same as 'it is correctly configured'.
- Skipping documentation of configuration rationale: In a 3-year ECU project with team turnover, undocumented configuration choices become tribal knowledge that disappears when engineers leave. Document why a parameter is set to a specific value, not just what it is set to.
- Testing only the happy path: Automotive ECUs must behave correctly under fault conditions, voltage variations, and communication errors. Always test the error handling paths as rigorously as the nominal operation. Many production escapes originate in untested error branches.
- Version mismatches between teams: In a multi-team project, the BSW team, SWC team, and system integration team may use different versions of the same ARXML file. Version management of all ARXML files in a shared repository is mandatory, not optional.
📊 Industry Note
Engineers who master both the theoretical concepts and the practical toolchain skills covered in this course are among the most sought-after professionals in the automotive software industry. The combination of AUTOSAR standards knowledge, safety engineering understanding, and hands-on configuration experience commands premium salaries at OEMs and Tier-1 suppliers globally.