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Programming Languages for Safety-Critical Systems: How to Choose Between C, C++ and Their Safety-Focused Variants

Auteur n°14 – Guillaume

By Guillaume Girard
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Summary – Choosing between C and C++ directly affects certification, traceability, maintainability, and risk in safety-critical systems, while balancing low-level control, abstraction, and compliance. C delivers a minimal binary footprint and unrivaled predictability through a MISRA subset and static analysis tools, whereas constrained C++ modernizes structuring with RAII and smart pointers in a certifiable subset, backed by CI/CD and formal reviews.
Solution: implement mature DevSecOps governance and a modular hybrid ecosystem with frozen interfaces to combine determinism and agility without compromising safety.

In the development of safety-critical embedded systems, the technical debate over C and C++ goes far beyond simple language preference. It represents a major architectural decision that dictates certification, traceability, maintainability, and the overall product risk.

The IEC 61508 and ISO 26262 standards, along with the MISRA guidelines, permit C and C++ only in strict subsets, supported by qualified toolchains and iron-clad discipline. The real challenge is to balance low-level control, abstraction, complexity, testability, and compliance, all while building a mature DevSecOps ecosystem. This article explores these trade-offs and proposes a pragmatic approach to achieve both extreme robustness and business agility.

Advantages of C in Safety-Critical Systems

C reigns supreme for memory control and predictability. Its conceptual simplicity and minimal binary footprint make it ideal for SIL 3 and SIL 4 applications.

Choosing C in an SIL 3 or SIL 4 context guarantees deterministic behavior and direct access to memory management. This transparency allows precise measurement of code and data segment sizes—a key criterion for certification audits.

Implementing strict MISRA C rules and using qualified static analysis tools compensates for the language’s lack of built-in safeguards. This methodological investment significantly impacts project workload and required expertise.

In a railway project, one team adopted a certified C subset and toolchain. They demonstrated that a rigorous process and systematic code reviews can reduce late-stage defects by 70 % and streamline external audits.

Deterministic Hardware Access

C enables exact mapping between I/O registers and software data structures. As a result, each access is predictable in CPU cycles and timing—an essential prerequisite for Worst-Case Execution Time (WCET) analysis.

Developers can manually control structure alignment and cache access optimization, options often unavailable in higher-level languages.

However, this freedom comes at the cost of stricter pointer management, buffer-overflow prevention, and the absence of exceptions, requiring an almost mathematical level of formality.

MISRA Discipline and Static Analysis

Applying MISRA C rules enforces a highly limited functional subset of the language. It excludes unsafe casts, uncontrolled infinite loops, and untyped void pointer implementations.

Certified static analysis tools automatically detect violations and anticipate undefined behavior. They generate reports that enrich traceability, which is indispensable for certification dossiers.

The friction introduced by these systematic verification phases increases delivery timelines but provides the robustness guarantee required in safety-critical systems.

Maintenance and Knowledge Transfer

C code remains readable over long periods due to its simplicity. It eases the onboarding of new engineers, since its conceptual granularity is lower than that of object-oriented languages.

However, strict adherence to internal coding guidelines and exhaustive module documentation can lead to technical debt if governance is not continuously maintained.

Therefore, a C project’s resilience depends as much on methodological rigor as on technical skills, underscoring the importance of ongoing training.

Contributions of C++ to Functional Safety

C++ delivers modern structuring and mitigates certain risks. Its abstractions enhance encapsulation, though many non-deterministic features are often prohibited.

C++ introduces RAII, typed containers, and strong encapsulation, which reduce manual memory-management errors and bolster business-logic reliability. These advantages boost productivity and reusability.

However, exceptions, dynamic allocation, complex templates, and polymorphism are closely scrutinized, quantified, or outright banned in certified projects. This often leads to a custom subset resembling a cleaned-up C++03.

In a medical device project, the team developed a restricted C++ subset validated by the certification body. They proved that modular structuring and strict compliance can coexist, provided a precise internal coding standard is in place.

RAII and Memory Safety

The Resource Acquisition Is Initialization (RAII) pattern automates resource release, preventing many leaks. Smart pointers reduce the risk of double free or use-after-free errors.

Standard containers like std::vector eliminate manual buffer management, decreasing human-error surfaces and making code more expressive and concise.

On the downside, template-generated code can bloat the binary if not managed by controlled stripping and linking processes.

Template Complexity and Polymorphism

Templates offer powerful genericity but at a cost: metaprogramming can become opaque and challenging for certification analysis. Specific MISRA C++ rules govern their usage.

Runtime polymorphism via virtual inheritance or abstract interfaces creates dynamic dispatch tables, complicating static analysis and deterministic guarantees required in critical systems.

To mitigate this, some teams limit inheritance to a single level or use alternatives like the Curiously Recurring Template Pattern (CRTP) to preserve performance.

Unit Testing and Formal Reviews

In C++, unit-test coverage is essential to validate RAII construction/destruction sequences and exception scenarios. Lightweight frameworks are preferred to avoid runtime overhead.

Formal reviews rely on checklists covering template usage, dynamic allocation, and subset compliance. They’re often supplemented by inspections focusing on error-handling flows.

Integrating these phases into a controlled CI/CD pipeline strengthens traceability and demonstrates subset mastery to auditors.

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DevSecOps Pillar for Safety-Critical Systems

Governance and a DevSecOps culture are the strategic pivot. Mastering a certifiable subset depends more on process than on language choice.

Beyond the language, DevSecOps maturity dictates the ability to chain static analysis, reproducible builds, and automated tests within a controlled CI/CD flow. This is what reassures certification bodies.

Governance encompasses coding guidelines, technical-debt reviews, and version management. It guarantees a traceable history for each embedded module.

A major energy company employs this approach to run C and C++ developments in parallel, demonstrating that smooth integration between language-specific teams and shared governance is key to continuous compliance.

CI/CD Integration and Reproducible Builds

Automated pipelines compile and test each commit in a locked environment using certified compiler versions. This minimizes divergence between development and production.

Builds reproduce identical binaries by injecting fixed dependencies and leveraging dedicated containers or virtual machines.

This level of control, combined with integrated static analysis reports, provides the rigor evidence essential for safety-critical audits.

Code Reviews and Technical-Debt Management

Weekly formal reviews assess deviations from MISRA rules, code coverage gaps, and frozen interface definitions.

Traceability of tickets tied to coding-rule violations allows measuring technical debt and prioritizing fixes based on required Safety Integrity Levels (SIL 2 to SIL 4).

This creates a virtuous cycle: the team anticipates risks, implements corrections quickly, and prevents backlog accumulation that could delay certification.

Training and Cross-Fertilization

Teams undergo upskilling curricula on C and C++ subsets, static analysis tools, and unit-testing methodologies.

Pairing C experts with C++ specialists fosters best-practice sharing and avoids language silos.

Ultimately, a DevSecOps culture becomes a differentiator, ensuring both agility and robustness.

Hybrid C and C++ Approach

C for deterministic layers and C++ for abstractions. Modularity, frozen interfaces, and continuous controls are the pragmatic levers.

A hybrid ecosystem uses C for real-time drivers and C++ for higher-level application services. Such cohabitation requires clear boundaries and stable interfaces between modules.

Coding guidelines define authorized patterns for interfacing, while code-generation tools automate binding creation to ensure consistency.

In an IoT project, this approach modernized an existing firmware by adding C++ services without compromising SIL 3 certification—proving both agility and compliance.

Modular Architecture and Decoupling

Real-time features are isolated in C modules, compiled into separate binaries with strict linkage scripts. Application services reside in C++ libraries linked post-build.

IPC mechanisms or generated stubs ensure exchange integrity and manage interface versions. This modular architecture strengthens coherence.

This separation facilitates unit and system-level validation, as each module can be independently simulated in a test environment.

Frozen Interfaces and Version Management

Interface headers are frozen: any change must pass a formal review and qualification process. Older versions remain available for backward compatibility.

Version-control tools integrate with the CI pipeline to tag each release and automatically generate corresponding API documentation, improving traceability.

This ensures that application updates introduce no breaking changes—critical for long-term maintenance.

Coverage Monitoring and Continuous Audits

Code-coverage thresholds (e.g., 90 % for C and 80 % for C++) are enforced. Reports are automatically analyzed, and a consolidated report is produced each sprint.

Scheduled external audits rely on these indicators and static analysis logs, reducing certification preparation time.

This continuous control fosters a proven quality and compliance dynamic, even in a continuous-delivery context.

Optimize Robustness and Agility in Safety-Critical Systems

Choosing between C, C++ or their safe variants isn’t a matter of language preference but a compromise between low-level control, abstraction, and compliance. C stands out for its minimal binary footprint and predictability, provided a strict MISRA discipline and qualified tooling are in place. C++ modernizes structuring and mitigates certain memory risks, at the cost of a restricted subset and controlled code generation.

The real advantage lies in mature DevSecOps governance: CI/CD pipelines, reproducible builds, formal reviews and a culture of traceability. A hybrid approach—modular layers and frozen interfaces—often combines determinism and flexibility without sacrificing functional safety.

Our experts are ready to co-create the strategy best suited to your safety, maintenance and innovation challenges.

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By Guillaume

Software Engineer

PUBLISHED BY

Guillaume Girard

Avatar de Guillaume Girard

Guillaume Girard is a Senior Software Engineer. He designs and builds bespoke business solutions (SaaS, mobile apps, websites) and full digital ecosystems. With deep expertise in architecture and performance, he turns your requirements into robust, scalable platforms that drive your digital transformation.

FAQ

Frequently Asked Questions on C and C++ for Critical Systems

When should you choose plain C for a SIL3/SIL4 critical project?

Choosing plain C in a SIL3 or SIL4 context ensures deterministic behavior and a minimal binary footprint. Direct memory control and aligned hardware accesses simplify WCET analysis. However, this choice requires strict adherence to a MISRA C subset, the use of certified static analysis tools, and disciplined development practices to offset the language's lack of built-in safety nets.

What are the main challenges of the MISRA C subset?

The MISRA C subset severely restricts the use of untyped pointers, uncontrolled infinite loops, and implicit conversions. Certified static analysis detects violations and produces traceability reports essential for IEC 61508 or ISO 26262 certification. This rigor increases project overhead and extends delivery cycles but provides the robustness required for critical systems.

How can C++ enhance functional safety despite its restrictions?

With RAII and smart pointers, C++ improves resource management and limits memory leaks. Typed templates and containers provide better expressiveness and code reusability. In certification projects, a streamlined C++03 subset is often adopted, banning uncontrolled exceptions and dynamic allocation, governed by an internal coding standard to balance modularity with strict compliance.

How do you control code generation and binary size in C++?

C++ code generation can inflate binary size due to template instantiations. To control it, you use stripping tools, controlled linkage scripts, and compiler directives that limit aggressive optimizations. Employing lightweight design patterns and a restricted C++ subset helps keep the binary size predictable, which is essential for certification audits.

What hybrid architecture combines C for real-time code and C++ for application logic?

A hybrid architecture separates deterministic layers (drivers and ISRs) into C modules compiled into dedicated binaries, while application services live in C++ libraries linked post-build. Frozen interfaces and generated IPC mechanisms or stubs ensure exchange integrity and support maintainable evolution without compromising SIL3 certification.

Which metrics should be monitored in a DevSecOps pipeline for critical systems?

In a DevSecOps pipeline for critical systems, it's crucial to track unit test coverage (>=90% for C, >=80% for C++), the MISRA rule violation rate, and build reproducibility. Integrating static analysis reports and versioning logs demonstrates traceability, reduces development-to-production gaps, and reassures auditors.

How do you manage technical debt related to coding standards in a certified context?

Technical debt is managed through weekly formal reviews, traceable non-conformance tickets, and prioritizing fixes based on safety level (SIL2 to SIL4). Coverage and violation thresholds defined in the internal coding guide help anticipate risks and prevent backlog accumulation that could delay certification.

What pitfalls should you avoid when using templates and polymorphism in certified C++?

In certified C++, inheritance should be limited to a single level, and complex metaprogramming templates that obscure static analysis should be avoided. The CRTP (Curiously Recurring Template Pattern) maintains performance while controlling dispatch. Restrictions on dynamic polymorphism and strict allocation control ensure the deterministic behavior required for certification.

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