memory-analysis

Firmware memory analysis parses .map files using a Python memory analyzer script to generate comprehensive usage reports and symbol size rankings. You simply provide the file path to execute the parsing and reporting process.

Finding the largest symbols in a firmware build requires parsing ELF or .map files to generate a symbol size ranking. This process identifies the largest memory consumers to target code optimization efforts effectively.

Comparing firmware memory usage between builds involves parsing .map or ELF files across different versions to track code bloat and memory changes. This version comparison highlights memory deltas to prevent potential overflows.

Yes, analyzing ELF files for memory usage requires the arm-none-eabi-size tool as a dependency. The Python memory analyzer script handles .map file parsing independently, but ELF analysis specifically depends on this tool.

Yes, you can identify potential memory overflow issues by analyzing .map files to generate detailed memory usage reports. Identifying large symbols and tracking usage across builds helps detect issues leading to overflow.