PyCharm IDE heap size configuration lacks documented project-size guidelines

Goal: establish a reliable -Xmx value for PyCharm that matches the memory footprint of a typical project without causing frequent OutOfMemoryError.

Constraint: JetBrains documentation does not provide an objective heap‑size guideline tied to project size, lines of code, or number of modules, leaving the setting to trial‑and‑error.

Uncertainty: users must balance allocating too little memory (frequent GC, possible OOM) against allocating too much (wasted RAM) while relying on the memory indicator and manual GC clicks to observe retained heap.

What heap size is recommended for a medium‑sized Java project (~500 k LOC)?

Is there a calculable relationship between project metrics (file count, module depth) and the required -Xmx?

How can a user verify that a chosen -Xmx setting provides a stable retained‑heap baseline over a typical work session?