JOS Artifact Evaluation

•
1.1k
•

Guides researchers in preparing code and data artifacts for Journal of Software (软件学报) submissions to maximize peer-review impact.

JOS Artifact Evaluation is a specialized skill tailored for researchers preparing code, data, and reproducibility packages for the Journal of Software (《软件学报》). Unlike international ACM/IEEE conferences with formal artifact badging tracks, JOS does not currently enforce a mandatory artifact evaluation process; however, providing accessible, well-documented artifacts serves as a high-value differentiator during peer review. This skill provides a 4-tier artifact maturity model, archival and licensing workflows (e.g., Zenodo DOIs, open-source licenses), pre-submission checklists, and specific compliance guidance for CCF ChinaSoft special issues.

Key Features

01Special issue and CCF ChinaSoft joint submission requirement checklists and workflows
02Guidance on distinguishing JOS expectations from international ACM/IEEE artifact badging systems
03Standardized templates for artifact availability statements and environment reproducibility
04Artifact maturity tiering across four levels from basic availability to full reusability
05Best practices for permanent repository archiving, Zenodo DOI minting, and license selection
061,086 GitHub stars

Use Cases

01Auditing and packaging demonstration materials for CCF ChinaSoft joint special issues
02Preparing reproducible code repositories and benchmark datasets for regular Journal of Software submissions
03Drafting robust data and code availability statements to build reviewer trust without over-engineering