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Do the swe-errors keyword rules sort run-record errors correctly?

research/swe-errlabel

Do the swe-errors keyword rules sort run-record errors correctly? On a 60-entry blind hand-labelled sample they agree on 40 (66.7%, Wilson 54.1% to 77.3%; kappa 0.59); the ci-or-tooling rule never wins and own-mistake recall is 55%, so the earlier shares are a lower bound for those two. Preliminary: one labeller.

5 tests

What it found

A 60-entry blind sample of the run records’ reported errors, hand-labelled once and compared with swe-errors’ keyword rules: they agree on 40 of 60 entries (66.7%, Wilson 95% 54.1–77.3%; Cohen’s κ 0.59). The ci-or-tooling rule never wins (9 hand-labelled, 0 assigned), the run’s-own-mistake class is found with recall 55%, and environment, timeout and collision hold up (recall 92–100%). So the earlier error shares are a lower bound for tooling and own mistakes. Preliminary: one labeller, the same kind of model that wrote the records, and 60 entries.

A figure from its own output

Figure produced by research/swe-errlabel: precision_recall
swe-errlabel/experiments/precision_recall.svg, written by the project's own experiment code.

Paper, code and results

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Produced with AI assistance (Claude). Results are from the code in this repository and are simulated or stylised unless the abstract says otherwise; nothing here implies affiliation with or endorsement by any lab, researcher or company cited. MIT licensed.