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fse-experiments

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Use when designing or auditing ESEC/FSE empirical evaluations, covering real subject systems, fair baselines, SE-standard statistics and effect sizes, qualitative and mixed-methods rigor, contamination-aware LLM ablations, provenance for mining studies, and matching evidence to the shape of each software-engineering claim.

FSE-Skills/skills/fse-experiments/SKILL.md

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# FSE Experiments

Use this before submission when the empirical story is not yet locked. FSE reviewers are SE
empiricists; the evaluation is where a good idea is won or lost. The organizing principle is
**evidence proportional to the claim** — the study must test the thing the paper actually asserts,
on subjects and baselines a skeptic would accept.

## Evaluation audit

- **Match evidence to the claim shape.** A claim about *developer behavior* needs behavior data; a
  claim about *detection* needs a labeled ground truth; a claim about *scalability* needs runtime
  on realistically sized inputs. Accuracy against a proxy label is not evidence for a practice
  claim.
- **Use real subject systems,** sampled by a stated criterion, and list them in the artifact. Toy
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