llnl / llnl/dataracebench

static tools: may vs. must analysis

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Dominant language
C
Stars
80
Forks
33
PR merge metrics
No merged PRs in 30d

Description

For static tools it would also be good to know how many false negatives where explicitly reported (as “no error”), and how many data races were reported as “may exist” or “definitely exists”. This makes quite a difference in ranking/triaging of bugs (I didn’t read all of the text, it might be mentioned somewhere).

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Research direction

No file, test, or entry point is named. Start by reviewing how the benchmark suite records static-tool results, focusing on “no error,” “may exist,” and “definitely exists”; done means false negatives and race reports are counted separately by certainty.

Written by the indexing model from the issue text.

Assessment

Tech stack
c
Domain
devtools, testing-qa
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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