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The software-engineering loop

Which kind of recorded deviation from the brief predicts a partial outcome?

research/swe-devkinds

Which kind of recorded deviation predicts a partial outcome? Of 213 run records with a deviation, tooling failures end partial 22.6 points more often than runs with none (track-stratified p=0.001); skipped steps (+1.3) and switched tasks (+1.3) do not. Keyword classes, observational, preliminary.

6 tests

What it found

Of 1,606 run records, 213 list a deviation. Classifying each by fixed keyword rules, runs whose deviation is a tooling failure end partial 22.6 points more often than runs with no deviation within track (permutation p = 0.001, 24 runs in usable strata); skipped steps (+1.3 points, p = 0.67) and switched tasks (+1.3 points, p = 0.63) show no difference. Keyword classes are crude and the data observational: preliminary.

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.