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Tool Qualification Report Structure

SectionContentStandard Reference
Tool identificationName, version, vendor, licenceISO 26262-8 11.4.5
ClassificationTI, TD, TCL determination with rationaleISO 26262-8 11.4.6
Intended useExactly how and where the tool is used in developmentISO 26262-8 11.4.7
Tool validation testsTest cases that validate tool functionalityISO 26262-8 11.4.8
Test resultsExecuted test results with pass/failISO 26262-8 11.4.9
Operational constraintsConditions under which qualification is validISO 26262-8 11.4.10
Qualified versionExact version, patch level, OS environmentISO 26262-8 11.4.11

MathWorks Tool Qualification Package (TQP)

MathWorks TQP

MathWorks provides a Tool Qualification Package (TQP) for MATLAB, Simulink, Stateflow, and Embedded Coder that contains:

  • Pre-written tool qualification report template (for ISO 26262, DO-178C, IEC 61508)
  • Tool validation test suite: 2000+ test cases covering Simulink model execution and Embedded Coder code generation
  • Tool classification rationale document
  • Guidance for determining intended use constraints

The TQP reduces tool qualification effort from months to days for most projects. The project team customises the intended use section, runs the validation tests, and documents the results.

Versions: TQP must match the exact MATLAB/Simulink version used. Do not upgrade MATLAB mid-project without re-running the TQP tests.

Tool Validation Test Examples

MATLABtqp_validation_tests.m
% Tool Qualification Package: sample validation tests
% Run by TQP test framework; not user-written

% TQP-SIMULINK-001: Unit Delay block delay verification
% Model: single Unit Delay, Ts=0.01s, input step at t=0
% Expected: output is 1 step behind input (0.01s delay)
% Verified by: comparing output timing to input timing

% TQP-ECODER-001: Gain block code generation
% Model: Gain block, K=3.14, input=single, output=single
% Expected generated code:
%   output = 3.14F * input;
% Verified by: parsing generated .c file

% TQP-ECODER-021: Fixed-step solver code generation
% Model: discrete integrator, Ts=0.01, initial=0
% Expected: step function called at fixed 0.01s intervals
% Verified by: measuring execution period in SiL

% Run all TQP tests:
% Requires MathWorks Tool Qualification Package installation
tqp.runAllTests("TQP_Results_R2024b.mat");
tqp.generateReport("TQP_Results_R2024b.mat", ...
    "TQP_Validation_Report.html");

Summary

The Tool Qualification Report is a project-level document, not a one-time corporate document. It must cover the exact tool version, the exact intended use (which features are used, for which ASIL level), and evidence that the tool performs its intended function correctly. Using a newer MATLAB version without re-running the TQP validation tests invalidates the qualification - this is one of the most common audit findings in ISO 26262 assessments. The MathWorks TQP significantly reduces this burden by providing pre-written templates and test suites, but the project team must still customise the intended use section and document any operational constraints (e.g., "do not use Fixed-Point Designer for ASIL-D components" if the project chooses not to qualify it).

🔬 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

  1. 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'.
  2. 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.
  3. 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.
  4. 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.

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