Source code plagiarism is a significant issue in educational practice, and educators need user-friendly tools to cope with such academic dishonesty. This article introduces the latest version of Dolos, a state-of-the-art ecosystem of tools for detecting and preventing plagiarism in educational source code. In this new version, the primary focus has been on enhancing the user experience. Educators can now run the entire plagiarism detection pipeline from a new web app in their browser, eliminating the need for any installation or configuration. Completely redesigned analytics dashboards provide an instant assessment of whether a collection of source files contains suspected cases of plagiarism and how widespread plagiarism is within the collection. The dashboards support hierarchically structured navigation to facilitate zooming in and out of suspect cases. Clusters are an essential new component of the dashboard design, reflecting the observation that plagiarism can occur among larger groups of students. To meet various user needs, the Dolos software stack for source code plagiarism detections now includes a web interface, a JSON application programming interface (API), a command line interface (CLI), a JavaScript library and a preconfigured Docker container. Clear documentation and a free-to-use instance of the web app can be found at https://dolos.ugent.be. The source code is also available on GitHub.

翻译：源代码抄袭是教育实践中的重要问题，教育工作者需要用户友好的工具来应对此类学术不端行为。本文介绍最新版本的Dolos——一个用于检测和预防教育源代码抄袭的先进工具生态系统。在此新版本中，主要聚焦于提升用户体验。教育工作者如今可直接在浏览器的全新网络应用中运行完整的抄袭检测流程，无需任何安装或配置。经过彻底重新设计的分析仪表板可即时评估源代码文件集合中是否存在疑似抄袭案例，以及抄袭现象在该集合中的普遍程度。这些仪表板支持分层结构导航，便于对可疑案例进行缩放式浏览。聚类是仪表板设计中的关键新组件，反映了抄袭可能发生在更大规模学生群体中的观察结果。为满足不同用户需求，用于源代码抄袭检测的Dolos软件栈现包含网络界面、JSON应用程序编程接口（API）、命令行界面（CLI）、JavaScript库及预配置Docker容器。清晰的文档和免费使用的网络应用实例可在https://dolos.ugent.be查阅，源代码也已发布于GitHub。