ASE Research Reproducibility
Prepares open-science artifacts, runnable tools, and mandatory Data Availability Statements for IEEE/ACM Automated Software Engineering submissions.
Designed specifically for researchers submitting to the IEEE/ACM International Conference on Automated Software Engineering (ASE), this skill ensures your submission meets strict open-science and reproducibility standards. It guides the creation of compliant Data Availability Statements within page limits, scrubs metadata for double-anonymous review, pins tool and dataset provenance at data-collection time, caches non-deterministic LLM outputs, and structures packages for ACM Artifacts Available and Reusable badges.
주요 기능
01Guides anonymization protocols to scrub owner metadata and environment paths
02Prepares artifact repositories for ACM Artifacts Available and Reusable badge evaluation
03Provides caching strategies for LLM-based components to prevent evaluation drift
04Drafts compliant Data Availability Statements within the mandatory 10-page limit
05Pins exact tool versions, commit SHAs, dependency lockfiles, and dataset extraction dates
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사용 사례
01Upgrading a submission artifact for post-acceptance ACM Artifacts Available and Reusable badges
02Preparing an anonymized, containerized replication package for an initial ASE paper submission
03Drafting the mandatory Data Availability Statement positioned accurately after the paper's conclusions