ICSE Empirical Experiments
Designs and audits empirical evaluation methodologies for software engineering research papers targeting ICSE-level academic conferences.
ICSE Empirical Experiments provides specialized guidance for designing, conducting, and auditing rigorous evaluations for ICSE research-track submissions and top software engineering venues. It guides researchers through claim-evidence alignment, robust benchmark selection, fair baseline comparisons, standard non-parametric statistical testing with effect sizes (such as Vargha-Delaney Â12 and Cliff's delta), qualitative research rigor, and ablation studies for AI-for-SE systems. By enforcing threats-driven design and sanity checks before experiments are run, this skill ensures that empirical research papers withstand scrutiny from demanding software engineering peer reviewers.