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当你要为投向《软件学报》(Journal of Software, JOS) 的稿件设计或打磨实验与评测时使用。覆盖研究问题 (RQ) 契约、真实系统与数据集的选取、可信基线、评价指标与统计显著性/效应量、消融与抗污染的大模型评测、挖掘类研究的出处锁定、以及威胁有效性 (threats to validity) 的分类论证，帮助你把证据与论点对齐，达到《软件学报》(Journal of Software) 软件学科同行评审对实证严谨性的要求。

Journal-of-Software-Skills/skills/jos-experiments/SKILL.md

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# 《软件学报》实验设计与呈现 (Journal of Software Experiments)

本技能帮你把实验做成"证据与论点相称"的样子——这是《软件学报》(Journal of Software, JOS)
软件学科评审的核心门槛。本刊审稿人来自软件工程、系统软件、数据库、安全等方向，会审计你的
数据集、基线、指标与威胁论证。方法论口径与本刊学科文化一致（见
[`resources/official-source-map.md`](../../resources/official-source-map.md)）。

## 一、研究问题 (RQ) 契约

- 把评测组织为若干 **RQ**，每个 RQ 明确：问什么、用什么数据、用什么指标、期望什么结论。
- RQ 应回答"软件工程问题"，而非"我的模型分数高不高"。
- 每个 RQ 与引言的贡献一一对应；读者应能从 RQ 直接读出论文论点。

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