Continuous Integration (CI) is a widely adopted practice for faster code change integration and testing. Developers often migrate between CI systems in pursuit of features like matrix building or better logging. However, this migration is effort intensive and error-prone owing to limited knowledge of the new CI system and its syntax. Moreover, these migrations require multiple iterations and significant time to achieve stability in the new CI system, and there is insufficient support for the automatic migration of CI configurations. To mitigate this, we propose a novel approach for CI system's automatic migration: CIMig. Our approach utilizes Example-Based mining, where it extracts translation rules and configuration patterns from existing migration examples, and employs them to reproduce this migration in new contexts. To empirically validate and evaluate our approach, we apply it to the migration between Travis CI and GitHub Actions. We gathered learnings from 1001 projects, and then applied them to migrate an evaluation set of 251 projects. This helped us perform a qualitative and quantitative evaluation of CIMig, and we contextualize our results by comparing them with those of the manual-rule-based GitHub Actions Importer. Furthermore, our tool generated files that were rated favorably by developers and saved them an average of 42.4 minutes over the manual migration of these same projects. Our learning-based approach is also more flexible, as proven by our ability to apply it to migrate GitHub Actions files to Travis, which GitHub Actions Importer can not do. We believe CIMig is the first approach of its kin to migrate CI systems and can be applied to other software configuration system migrations. Our replication package is available at [5].

翻译：持续集成（CI）是一种被广泛采用的实践，旨在加速代码变更集成与测试。开发人员常在CI系统间迁移以寻求矩阵构建或更佳日志记录等功能。然而，由于对新CI系统及其语法的了解有限，此类迁移往往工作量大且易出错。此外，这些迁移需要多次迭代和大量时间才能在新CI系统中实现稳定，且当前对CI配置自动迁移的支持不足。为缓解此问题，我们提出了一种新颖的CI系统自动迁移方法：CIMig。该方法采用基于示例的挖掘技术，从现有迁移案例中提取翻译规则与配置模式，并将其应用于新场景中复现迁移过程。为实证验证与评估我们的方法，我们将其应用于Travis CI与GitHub Actions间的迁移。我们从1001个项目中收集学习成果，随后将其应用于251个评估项目的迁移。这使我们能够对CIMig进行定性与定量评估，并通过与基于手动规则的GitHub Actions Importer的结果对比来阐释我们的研究成果。此外，我们的工具生成的文件获得了开发者的积极评价，相比相同项目的手动迁移平均节省了42.4分钟。我们的基于学习的方法也更具灵活性，这通过我们成功将其应用于将GitHub Actions文件迁移至Travis得以证明，而GitHub Actions Importer无法实现此反向迁移。我们相信CIMig是同类中首个实现CI系统迁移的方法，并可扩展至其他软件配置系统的迁移。我们的复现材料已发布于[5]。