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Constructing Benchmarks for Open Source Ecosystems: A Stakeholder Needs-Driven Approach

  • Zhen Zhang
  • , Wei Wang
  • , Lan You*
  • , Fanyu Han
  • , Haibo Cui
  • , Hong Jin
  • *此作品的通讯作者
  • Hubei University
  • East China Normal University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

As open source technology increasingly influences the advancement of worldwide innovations and the digital marketplace, the heterogeneity and intricacy of its ecosystem have also escalated, posing new challenges for benchmark construction tailored to open source environments. Traditional benchmarking approaches are often confined to specific static environments, assessing the effectiveness of methodologies through measured metrics. However, in open-source contexts characterized by high degrees of freedom, strong liquidity, and broad interaction, the community dynamically generates new real-world needs daily. Consequently, benchmarks developed in static environments fail to effectively measure the value of methodologies within open source scenarios. In response, this paper advocates for a method of constructing open source benchmarks driven by the actual needs of stakeholders within the open source ecosystem, who frequently articulate their needs through the challenges they encounter. By identifying and understanding these needs, open source benchmarks can be designed to closely align with the actual demands of stakeholders, thereby enhancing their relevance and effectiveness. This approach not only facilitates the direct application of benchmark results in real-world scenarios for immediate feedback and verification, but also enhances the authenticity and credibility of the evaluation outcomes. We propose a process for constructing open source benchmark: identifying the real needs of stakeholders within the open source ecosystem, translating these needs into specific tasks, creating benchmarks around these tasks, and applying the benchmark results to practical scenarios. This approach allows open-source benchmarks to continuously adjust and improve based on real feedback, supporting the sustainable development of the open-source ecosystem. This approach fosters a beneficial cycle of synergy between open source benchmark and stakeholder needs in the ecosystem, ensuring that benchmark originates from and is tailored to meet real-world needs.

源语言英语
主期刊名Intelligent Computers, Algorithms, and Applications - 4th BenchCouncil International Symposium, IC 2024, Revised Selected Papers
编辑Chunjie Luo, Weiping Li
出版商Springer Science and Business Media Deutschland GmbH
184-198
页数15
ISBN(印刷版)9789819663095
DOI
出版状态已出版 - 2025
活动4th BenchCouncil International Symposium on Intelligent Computers, Algorithms, and Applications, IC 2024 - Guangzhou, 中国
期限: 4 12月 20246 12月 2024

出版系列

姓名Communications in Computer and Information Science
2517 CCIS
ISSN(印刷版)1865-0929
ISSN(电子版)1865-0937

会议

会议4th BenchCouncil International Symposium on Intelligent Computers, Algorithms, and Applications, IC 2024
国家/地区中国
Guangzhou
时期4/12/246/12/24

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