Individual skill
jos-reproducibility
当你要为投向《软件学报》(Journal of Software, JOS) 的软件学科稿件建立可复现性与实验可重复保障时使用。覆盖数据/代码可用性声明、环境与依赖固定、随机性与种子控制、挖掘与大模型实验的出处锁定与输出缓存、可复现材料的目录组织与 README,以及"可根据要求提供"这类弱表述的规避,帮助你让《软件学报》(Journal of Software) 审稿人相信你的实验结果可被他人重复得到。
Journal-of-Software-Skills/skills/jos-reproducibility/SKILL.md
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# 《软件学报》可复现性与实验可重复 (Journal of Software Reproducibility)
《软件学报》(Journal of Software, JOS) 的软件学科审稿人越来越看重结果能否被他人重复。虽然
本刊尚无公开的强制 artifact 评审轨道(现状 **待核实**,见
[`jos-artifact-evaluation`](../jos-artifact-evaluation/SKILL.md)),但提供可复现材料能显著增强
说服力。本技能给出让实验可重复的工程做法(来源见
[`resources/official-source-map.md`](../../resources/official-source-map.md))。
## 一、数据/代码可用性声明
- 在论文中明确:代码、数据、脚本是否可获取、在哪里获取、以什么许可。
- **避免弱表述**:"可根据要求提供 (available upon request)"在评审中是弱项而非中性占位;
尽量给出可访问链接(仓库/归档)。
- 若因隐私/版权不能公开,说明原因,并提供可复核的替代(脱敏样本、合成数据、评测协议)。