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csj-experiments
在为《计算机科学》(Computer Science, JSJKX) 设计与呈现实验章节时调用。本刊是计算机全学科中文综合月刊(CCF 会刊、B 类、T2 级),单盲审稿。技能帮助以研究问题(RQ)驱动组织实验、选择公平且有代表性的基线、规范数据集与评价指标、报告统计显著性与方差、设计消融与敏感性分析、给出中英文题注的图表,并覆盖不同栏目(AI/网络/信息安全/数据库/系统等)的证据惯例。适用于把实证证据搭到能通过本刊外审、支撑摘要中量化结论的场景。
Computer-Science-Journal-Skills/skills/csj-experiments/SKILL.md
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# 《计算机科学》实验设计与呈现
本技能帮你把实验章节搭到能经受《计算机科学》(Computer Science, 简称 JSJKX) 单盲外审的强度。本刊覆盖计算机
全学科,不同栏目(人工智能、计算机网络、信息安全、数据库、体系结构等)有各自的证据惯例,但共同要求是:
**结论由公平、可复现、有统计意义的实验支撑**,且实验与摘要中的量化结论一致。
> 提醒:本刊 Computer Science 是**期刊(journal)**,非会议;实验章节须与复现包、参考文献相互印证。
## 一、以研究问题(RQ)驱动
先写清 2~4 个 RQ,每个 RQ 对应一组实验与一张主表/主图:
- RQ1 有效性:方法是否优于代表性基线?
- RQ2 组件贡献:各模块/机制各贡献多少(消融)?