A Control-Flow Graph Approach to Language-Agnostic Debugging for Microcontrollers

Language virtual machines (VMs) for resource-constrained environments enabled the use of managed languages, such as JavaScript or Python, on microcontrollers units (MCUs). WebAssembly (Wasm) has also broadened the range of programming languages on these resource-constrained devices. However, most MCU debugging support targets languages that compile to native code, making them unsuitable for source-level debugging of applications running on managed runtimes. As a result, debugging on MCU VMs is often performed using logging, manual resets, and GPIO toggling for call tracing.

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Published
2025-10-09
DOI
https://doi.org/10.1145/3759426.3760979
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

A Control-Flow Graph Approach to Language-Agnostic Debugging for Microcontrollers

Matteo Marra, Carlos Rojas Castillo, Elisa Gonzalez Boix
Advanced Malware Detection Techniques
article

A Control-Flow Graph Approach to Language-Agnostic Debugging for Microcontrollers

Matteo Marra, Carlos Rojas Castillo, Elisa Gonzalez Boix
article en

Abstract

Language virtual machines (VMs) for resource-constrained environments enabled the use of managed languages, such as JavaScript or Python, on microcontrollers units (MCUs). WebAssembly (Wasm) has also broadened the range of programming languages on these resource-constrained devices. However, most MCU debugging support targets languages that compile to native code, making them unsuitable for source-level debugging of applications running on managed runtimes. As a result, debugging on MCU VMs is often performed using logging, manual resets, and GPIO toggling for call tracing.

Vrije Universiteit Brussel (BE), Nokia (Belgium) (BE)
Fonds Wetenschappelijk Onderzoek, Vlaamse regering
Openalex Percentile: Top 65%
Advanced Malware Detection Techniques
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