BLINKER: A Blockchain-Enabled Framework for Software Provenance

R.P. Jagadeesh Chandra Bose, Kanchanjot Kaur Phokela, Vikrant S. Kaulgud, Sanjay Podder
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引用次数: 14

Abstract

There has been a considerable shift in the way how software is built and delivered today. Most deployed software systems in modern times are created by (autonomous) distributed teams in heterogeneous environments making use of many artifacts, such as externally developed libraries, drawn from a variety of disparate sources. Stakeholders such as developers, managers, and clients across the software delivery value chain are interested in gaining insights such as how and why an artifact came to where it is, what other artifacts are related to it, and who else is using this. Software provenance encompasses the origins of artifacts, their evolution, and usage and is critical for comprehending, managing, decision-making, and analyzing software quality, processes, people, issues etc. In this paper, we propose an extensible framework based on standard provenance model specifications and blockchain technology for capturing, storing, exploring, and analyzing software provenance data. Our framework (i) enhances trustworthiness of provenance data (ii) uncovers non-trivial insights through inferences and reasoning, and (iii) enables interactive visualization of provenance insights. We demonstrate the utility of the proposed framework using open source project data.
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BLINKER:一个支持区块链的软件来源框架
如今,软件的构建和交付方式已经发生了相当大的变化。在现代,大多数已部署的软件系统都是由异构环境中的(自治的)分布式团队创建的,这些团队使用了许多工件,例如从各种不同的来源提取的外部开发的库。跨软件交付价值链的开发人员、管理人员和客户等涉众对获得诸如工件如何以及为什么到达它所在的位置、与它相关的其他工件以及谁在使用它等见解感兴趣。软件来源包括工件的起源、它们的演化和使用,并且对于理解、管理、决策和分析软件质量、过程、人员、问题等是至关重要的。在本文中,我们提出了一个基于标准来源模型规范和区块链技术的可扩展框架,用于捕获、存储、探索和分析软件来源数据。我们的框架(i)提高了来源数据的可信度(ii)通过推断和推理揭示了重要的见解,以及(iii)实现了来源见解的交互式可视化。我们使用开源项目数据演示了所建议的框架的实用性。
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