domains / families / research / icsme-experiments

icsme-experiments

separate

Use when designing or auditing IEEE ICSME empirical evaluations, covering real evolving subject systems, mining-software-repositories provenance, fair baselines, SE-standard statistics and effect sizes, change-history and survivorship confounds, qualitative rigor, contamination-aware LLM ablations, and matching evidence to the shape of each maintenance/evolution claim.

When to use

• designing IEEE ICSME empirical evaluations
• auditing IEEE ICSME empirical evaluations
• matching evidence to maintenance/evolution claims
• pinning mining-software-repositories provenance
• choosing fair baselines
• reporting SE-standard statistics and effect sizes
• handling change-history and survivorship confounds
• conducting contamination-aware LLM ablations

When not to use

• synthetic snapshots
• single snapshot evolution claims
• untuned baselines
• cross-sectional correlation claimed causal
• tool complexity mistaken for understanding
• one ecosystem claimed universal
• model's marginal contribution never isolated
• evaluated on synthetic edits only

Skill page

Source