一个多代理平台,用于评估和改进生物信息学软件文档
bioRxiv : the preprint server for biology
|February 23, 2026
概括
生物指南系统地提高生物信息学软件文档质量. 这通过确保清晰,可重复的计算方法来增强工具的采用和科学影响.
科学领域:
- 生物信息学和计算生物学
- 在生命科学领域的软件工程.
背景情况:
- 生物信息学工具正在迅速发展,但文档质量滞后,阻碍了可用性和可重复性.
- 糟糕的文档限制了工具的采用,阻碍了跨实验室的可重现性,并减少了计算方法的影响.
研究的目的:
- 介绍BioGuider,一个多代理平台,系统评估和增强生物信息学软件文档.
- 在软件开发生命周期中,将文档视为一流的可测试对象.
主要方法:
- 生物指南使用模块化管道来收集,评估,报告和纠正文档.
- 专业代理模拟用户交互以根据任务导向的标准 (安装,配置,使用,教程) 评估文档.
- 一个受控的错误注入框架和多个大型语言模型被用于基准测试.
主要成果:
- 生物指南展示了强大的错误检测和纠正能力,即使有显著的文档退化.
- 该平台支持代改进,同时保持代码完整性和生物背景.
- 在47个工具中观察到文档质量与引用频率之间的积极关联.
结论:
- 高质量的文档是生物信息学软件采用和科学影响的关键,但未得到量化的驱动因素.
- 生物指南提供了一种系统的方法来改进文档,从而提高生物医学研究工具的可靠性和覆盖范围.
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