Software Quality Indicators: extraction, categorisation and recommendations from canonical sources

Extraction, categorisation and recommendations of research software quality indicators from seven canonical source. This work began at the BioHackathon 2024 (BH24) as Project #5. Over 300 indicators from seven sources were extracted. In follow on calls after the BH24 can carried on refining the indicators - and deciding on which ones should be kept, maybe kept and discarded; this was informed by duplicate indicators and those that advocated a particular philosophy that might not have being universally recognised as necessary for quality research software. We also highlighted the difficulty level in implemented the indicators - i.e. in how much effort was required (easy, possible, hard) in ascertaining whether software, a service or project governance satisfied a particular indicator. This is made available to allow others to use this as a starting point for their own project considerations of which software quality indicators to include and/or take into account. There are current gaps around green software indicators and the FAIR supergroup categorisation are not all present. This exercise did not define new indicators, it set out to categorise existing indicators from various canonical sources (both in the research software space and in the wider software engineering space). You can see the slide about progress at the BH24 and further work has been undertake as part of the ELIXIR Tools Platform WP3 (Software Best Practices group + it was open to those who attended the BH24 Project #5) which is part of the ELIXIR Scientific Programme of Work 2024-2028. Some individuals who took part were funded by the EOSC EVERSE and ELIXIR STEERS projects. This is currently a work in progress so not all indicators have been categorised and there maybe definitions may be paraphrased rather than verbatim.从7个权威来源中提取、分类研究软件质量指标并给出推荐建议。本项目作为第5号项目，起源于2024年生物信息学黑客松（BioHackathon 2024，BH24）。 本次工作从7类来源中共提取了300余项指标。在BH24结束后的后续会议中，团队持续对指标进行优化，并筛选需留存或剔除的指标：筛选依据包括重复指标，以及那些倡导特定理念、但未被普遍认可为研究软件质量必备要求的指标。 此外，团队还标注了各指标的实现难度等级，即评估验证软件、服务或项目治理符合某一指标所需的工作量，分为简单、可行、困难三个层级。 本数据集公开发布，旨在为其他项目提供参考起点，帮助其遴选或考量需纳入的软件质量指标。 当前数据集仍存在两处空白：一是未覆盖绿色软件相关指标，二是FAIR（可发现、可访问、可互操作、可复用）超级群组分类尚未完整收录。 本次工作并未定义全新指标，仅对来自各类权威来源（涵盖研究软件领域与广义软件工程领域）的既有指标进行分类整理。 您可查阅BH24上关于项目进展的演示幻灯片。本项目的后续工作作为ELIXIR工具平台WP3（软件最佳实践工作组，且面向所有参与BH24第5号项目的人员开放）开展，该平台隶属于ELIXIR 2024-2028年度科学工作计划。 部分参与人员的研究得到了EOSC EVERSE项目与ELIXIR STEERS项目的资助。 本数据集目前仍处于完善阶段，尚未完成所有指标的分类工作，且部分指标的定义采用了意译而非逐字直译。