Interesting thanks for the link! I’m curious how many tests were in the small size range for that chart which provides evidence to show the size-flakiness corr

Interesting thanks for the link! I’m curious how many tests were in the small size range for that chart which provides evidence to show the size-flakiness correlation holds in tests that use tools associated with higher than average flakiness... I’m also feeling like I want to have more clarity around the mechanism for measuring flakiness — the definition they use is that a test is flakey if it shows both failing and success runs with the “same code” — does “same code” refer to a freeze of only the codebase under test or also a statement about change to the tools in the testing environment ...? I wonder what the test suites for tools like selenium/WebDriver look like ... do they track a concept of “meta-flakiness” to try and observe changes to test flakiness results caused by changes to the test tooling ...?