Functional Safety, Software and AI – ISO 26262 and beyond

Plan upfront for software testing and safety lifecycle under ISO 26262, map safety goals and quality gates, and align releases with SOP.

Derive software safety requirements by specifying, documenting, verifying, and managing them to align with ISO 26262 safety goals and hardware–software interfaces.

Analyze a steer-by-wire safety requirements example focused on functional safety concepts. See how Enterprise Architect organizes requirements, ASILs, FTTI, verification criteria, and safety goals.

Explore ISO 26262–guided software architectural design, its processes, and safety-focused elements for automotive systems. Learn eight design principles, evaluation metrics, and method options from natural language to formal notations.

Explore how to define automotive software architectural design using UML and SysML, including structure and behavior diagrams, verification methods, and safety-focused design principles.

Explore safety architectures in automotive software under ISO 26262, including fail-safe, fault-tolerant, and fail-operational designs, with patterns like input validation, cross-checking, and E-GAS drive-by-wire.

Explore how to organize software architecture using Enterprise Architect for ISO 26262, with vehicle-level packaging, state machines, hardware and software diagrams, and safety-focused design practices across vehicle systems.

Learn to design and implement safe vehicle software under ISO 26262 part 6 clause 8, focusing on software unit design with verifiable, maintainable, and comprehensible code in C and C++.

Explore software configuration, calibration, and model-based development within ISO 26262, analyzing how configuration data, calibration data, and safety mechanisms shape safe software for automotive applications.

Explore ISO 26262 part 6 verification of software unit design, detailing 14 methods (walk-through to fault injection), coverage metrics, testing environments MIL to HIL, and required verification documents.

Define and execute software integration and verification within the v-cycle, validating dependencies, safety measures, and architectural requirements, and ensuring no undesired functionality, with metrics like function and call coverage.

Conclude ISO 26262 testing by validating embedded software in the vehicle, through HIL and real vehicle tests, and analyzing functional dependencies and operational use cases.

Explore safety element out of context (SEooC) concepts under ISO 26262, including safety manuals, assumptions, proven in use, and the distinction between SEooC and qualified software components, plus integration validation.

Explore how modern cars rely on software tools and ISO 26262 guidance. Learn to classify tools, assess TCL TI TD, and apply qualification with DOORS and DXL.

Explore software safety analysis in ISO 26262, distinguishing random hardware faults from software systematic faults, and examine common-cause and cascading failures, safety measures, dependent failure analysis, and software CPA.

Explore software critical path analysis (CPA) as a key ISO 26262 safety analysis for ASIL A to D systems. Identify critical features, interfaces, and signals, and develop safety mechanisms.

Learn how the software dependent failure analysis (DFA) under ISO 26262 maps interdependencies using coupling factor classes, addressing common cause and cascading failures in heterogeneous architectures.

Explore the software FMEA within functional safety, detailing seven steps from planning to results documentation, including risk analysis using severity, occurrence, and detection, and practical steer-by-wire example.

Learn to perform a software FMEA with the APIS tool, building a structured model, assessing severity, occurrence, and detection, and planning action-driven mitigations for ISO 26262.

Map fault causes from top to bottom with boolean gates to identify top-level events and minimal cut sets; apply qualitative and quantitative FTA for ASIL decomposition and integrate with DFA.

Explore guide words analysis as a core safety analysis technique for ISO 26262 and HAZOP, detailing methods, prerequisites, phases, and a practical HAZOP example.

Explore how external and in-vehicle data affect function safety under ISO 26262, distinguishing proxy and direct data, environmental, command, and feedback data, with emphasis on HD maps and verification.

Explore how artificial intelligence reshapes automotive safety by outlining AI concepts, machine learning models, data sets, and safety considerations beyond ISO 26262.

Explore how machine learning supports sensing and planning in autonomous driving while ensuring safety through SOTIF and ISO 26262, with emphasis on testing, validation, and robust architectural design.

Explore automotive software safety with ISO 26262, part 6, learning how to create safe software systems and use FMEA and FTA to identify risks, including data and AI.