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📚 用开源的方法来研究开源的现象。（open source methodology for open source phenomena）
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关于投稿 Evaluatology 2024 参与交流评价学的事宜 #296

Open will-ww opened 1 week ago

will-ww commented 1 week ago

Description

受詹剑锋教授邀请，共同来组织 The First International Workshop on Evaluatology (Evaluatology 2024) 活动，对于我们来说则是一个不错的系统构建开源评价学（Open Source Evaluatology，OSE）的机会。

他们的一篇文章 A Short Summary of Evaluatology 也是值得参考~

集思广益~

will-ww commented 1 day ago

基于 ChatGPT，可以有如下输出：

Title:
Open Source Evaluatology: A Framework for Systematic Evaluation of Open Source Contributions

Abstract (English):
Building on the foundational principles of Evaluatology, Open Source Evaluatology proposes a comprehensive framework for evaluating contributions in open source ecosystems. This discipline addresses the decentralized and collaborative nature of open source projects by creating standardized evaluation metrics, benchmarks, and assessment tools. The framework focuses on both quantitative (e.g., code contributions, issue resolutions) and qualitative measures (e.g., community engagement, code quality), providing continuous, lifelong evaluation to encourage transparency, innovation, and sustainable development. Supported by robust models and automation, it aims to enhance project management and decision-making, promoting long-term participation and value creation within global open source communities.

This approach will be particularly valuable to developers, project maintainers, academic researchers, and organizations aiming to better understand and assess the impact of individual contributions.

Title (Chinese):
开源评价学：开源贡献系统化评价框架

摘要 (中文):
开源评价学基于评估学的核心原则，提出了一个全面框架，用于评价开源生态系统中的贡献。该框架针对开源项目的去中心化和协作性，建立了标准化的评价指标、基准测试及工具。它结合量化（如代码贡献、问题解决）和质化（如社区参与、代码质量）评价，提供持续和终身的评价，促进透明性、创新性及可持续发展。通过稳健的模型和自动化支持，该框架旨在提升项目管理、优化决策，并激励全球开源社区的长期参与与价值创造。

可以考虑在此基础上进行修改与完善~

will-ww commented 1 day ago

继续来一个数据集方面的题目和摘要：

Title:
Establishing a Landmark Dataset Framework to Propel Open Source Evaluatology

Abstract (English):
This paper presents the creation of a pioneering dataset framework aimed at driving forward Open Source Evaluatology research. By integrating explicit and implicit problem definitions from a wide array of open source projects, the dataset is designed to ensure high-quality data through meticulous collection methods and rigorous technical analysis. The framework enhances data sharing, reuse, and reproducibility, offering tools for generating large-scale datasets that maintain data integrity. It provides a foundational infrastructure for robust evaluations, promoting transparency, innovation, and sustainable contributions in the open source community.

Title (Chinese):
构建推动开源评价学研究的里程碑式数据集框架

摘要 (中文):
本文提出了一个开创性的开源数据集框架，旨在推动开源评价学研究的发展。通过从广泛的开源项目中提取显性和隐性问题定义，该数据集通过严谨的数据收集方法和技术分析确保数据质量。该框架加强了数据共享、再利用和可重复性，提供生成大规模数据集的工具，同时保持数据的完整性。该框架为评价开源贡献提供了基础设施，促进透明性、创新性和可持续性贡献。

will-ww commented 1 day ago

我将《开源软件通识：知识体系指南》中的框架作为输入，结合 CFP 的主题，让 GPT 给出可能的题目，结果如下：

根据你提供的框架，结合“开源评价学”主题，以下是针对每个主要部分设计的优化论文题目。这些题目反映了开源项目、社区、生态以及创新、贡献等概念在开源评价中的核心地位。

1. 基础

  1. "开源评价学中的数字公共品：从开源对象到开源软件的评价标准"
    "Digital Public Goods in Open Source Evaluation Science: Evaluation Standards from Open Source Objects to Software"

  2. "开源治理在开源评价学中的作用：从企业到国家的治理模型"
    "The Role of Open Source Governance in Open Source Evaluation Science: Governance Models from Enterprises to Nations"

  3. "基于开源评价学的开源创新评价框架：价值驱动与贡献导向的结合"
    "An Evaluation Framework for Open Source Innovation in Open Source Evaluation Science: Combining Value-Driven and Contribution-Oriented Approaches"

  4. "开源贡献的评价方法：从代码贡献到社区参与的全面评估"
    "Evaluation Methods for Open Source Contributions: A Comprehensive Assessment from Code Contributions to Community Engagement"

2. 项目

  1. "开源评价学中的项目与代码评估：开源项目健康度与代码质量的双重标准"
    "Project and Code Evaluation in Open Source Evaluation Science: Dual Standards for Project Health and Code Quality"

  2. "开源许可证与代码评价：基于开源评价学的代码与许可证依赖分析"
    "Open Source Licensing and Code Evaluation: A Dependency Analysis between Code and Licensing in Open Source Evaluation Science"

  3. "开源供应链的风险与机会：开源评价学中的供应链评估模型"
    "Risks and Opportunities in Open Source Supply Chains: A Supply Chain Evaluation Model in Open Source Evaluation Science"

3. 社区

  1. "开源社区分类的评价模型：从用户型到项目型的开源社区健康评估"
    "An Evaluation Model for Classifying Open Source Communities: Assessing Community Health from User-Centric to Project-Centric Communities"

  2. "开源社区参与者的贡献评估：基于开源评价学的多维参与分析"
    "Contribution Evaluation of Open Source Community Participants: A Multi-Dimensional Participation Analysis in Open Source Evaluation Science"

  3. "开源社区治理与运营的评价框架：基于规则、基础设施和运营的系统评估"
    "Evaluation Framework for Open Source Community Governance and Operations: A Systematic Assessment of Rules, Infrastructure, and Operations"

  4. "开源社区评估：开源评价学中的健康与影响力评估标准"
    "Community Evaluation in Open Source Evaluation Science: Health and Influence Assessment Standards"

4. 生态

  1. "开源生态的构建与评估：企业、中立组织与开发者的协同效应"
    "Building and Evaluating the Open Source Ecosystem: Synergistic Effects of Enterprises, Neutral Organizations, and Developers"

  2. "商业开源的评价体系：基于开源评价学的企业贡献与创新评估"
    "Evaluation System for Commercial Open Source: Assessing Enterprise Contributions and Innovations in Open Source Evaluation Science"

  3. "开源基金会的评价机制：从社区支持到全球影响力的分析"
    "Evaluation Mechanisms of Open Source Foundations: From Community Support to Global Influence"

  4. "开源人才的成长路径评估：开源评价学中的贡献者培养与发展"
    "Growth Path Evaluation of Open Source Talent: Contributor Development and Growth in Open Source Evaluation Science"

  5. "开源教育的效果评估：开源评价学视角下的教育与贡献联动"
    "Evaluating the Effectiveness of Open Source Education: The Link between Education and Contribution in Open Source Evaluation Science"

  6. "开源活动的评价体系：从社区到技术活动的影响力分析"
    "Evaluation System for Open Source Activities: Influence Analysis from Community to Technical Activities"

总结：

每个题目都结合了开源评价学与该框架中的核心要素，包括项目、社区、生态、创新、贡献等，旨在从评价学的角度探讨如何更好地衡量和评估开源项目及其相关要素。这些题目适合从开源治理、贡献者发展、社区健康、生态建设等不同层面展开研究。