Modern programming languages like Java require runtime systems to support the implementation and deployment of software applications in diverse computing platforms and operating systems. These runtime systems are normally developed in GitHub-hosted repositories based on close collaboration between large software companies (e.g., IBM, Microsoft) and OSS developers. However, despite their popularity and broad usage; to the best of our knowledge, these repositories have never been studied. We report an empirical study of around 118K issues from 34 runtime system repos in GitHub. We found that issues regarding enhancement, test failure and bug are mostly posted on runtime system repositories and solution related discussion are mostly present on issue discussion. 82.69% issues in the runtime system repositories have been resolved and 0.69% issues are ignored; median of issue close rate, ignore rate and addressing time in these repositories are 76.1%, 2.2% and 58 days respectively. 82.65% issues are tagged with labels while only 28.30% issues have designated assignees and 90.65% issues contain at least one comment; also presence of these features in an issue report can affect issue closure. Based on the findings, we offer six recommendat

翻译：现代编程语言（如Java）依赖运行时系统来支持软件应用在不同计算平台和操作系统上的实现与部署。这些运行时系统通常基于大型软件公司（例如IBM、微软）与开源软件开发者的紧密协作，在GitHub托管的代码库中开发。然而，尽管这些代码库广受欢迎且被广泛使用，但据我们所知，它们从未被系统研究过。本文针对GitHub上34个运行时系统代码库中约11.8万个问题进行了实证研究。研究发现：运行时系统代码库中最常见的问题类型为功能增强、测试失败和程序缺陷，而问题讨论内容主要涉及解决方案相关议题。82.69%的问题已得到解决，0.69%的问题被忽略；这些代码库的问题关闭率、忽略率和处理时间的中位数分别为76.1%、2.2%和58天。82.65%的问题带有标签，但仅28.30%的问题有指定负责人，90.65%的问题包含至少一条评论；此外，问题报告中这些特征的存在会影响问题的关闭结果。基于研究发现，我们提出了六项建议。