Stage Ingénieur Utiliser l IA pour améliorer la lisibilité, la

I nternship Goals

1. Identify and Remove Dead Code and Compilation Flags in NFC firmware repository

• Use static analysis and AI-assisted code navigation to detect unused code paths

and obsolete compilation flags.

• Propose and validate clean-up patches to streamline the codebase and improve

maintainability.

2. Analyze Typical Embedded Real-Time Issues

• Investigate common embedded system challenges such as:

- Unprotected access to shared resources (e.g., global variables, hardware

registers).

- Unsuitable processing within Interrupt Service Routines (ISRs).

• Use AI tools to detect and suggest improvements for these issues.

3. Derive a Static Programming Model from Critical HAL Implementations

• Focus on HW abstraction layers modules that are key for our products (Power,

Clock and IO controllers).

• Analyze usage patterns and derive a static programming model for various use-

cases.

• Validate the model against hardware documentation (e.g., user manuals,

reference guides).

4. Evaluate AI Capabilities on Coverity Reports

• Explore how AI tools can assist in interpreting and resolving issues flagged by

Coverity static analysis.

• Assess the relevance and accuracy of AI-generated suggestions.

• Propose a workflow to integrate AI into the static analysis and bug triage

process.

Candidate Profile

• Final-year Master’s student in electronics, robotics, or software engineering.

• Strong programming skills in C (low-level) and Python (high-level).

• Solid understanding of real-time systems and processor architecture.

• Comfortable working in an international team environment.

• Passionate about programming and eager to explore new technical domains.

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