论文标题
OSS指导一个框架，用于通过深入的强化学习来改善开发人员的贡献
OSS Mentor A framework for improving developers contributions via deep reinforcement learning
论文作者
论文摘要
在开源项目治理中，人们对如何衡量开发人员的贡献感到非常关注。但是，极度稀疏的工作集中在使开发人员改善其贡献的同时，同时具有重要意义和有价值。在本文中，我们介绍了一个名为开源软件（OSS）导师的深入增强学习框架，可以从经验知识中培训，然后自适应地帮助开发人员改善其贡献。广泛的实验表明，OSS导师显着优于出色的实验结果。此外，这是首次提出的框架探索深入的加强学习技术来管理开源软件，这使我们能够设计一个更强大的框架来改善开发人员的贡献。
In open source project governance, there has been a lot of concern about how to measure developers' contributions. However, extremely sparse work has focused on enabling developers to improve their contributions, while it is significant and valuable. In this paper, we introduce a deep reinforcement learning framework named Open Source Software(OSS) Mentor, which can be trained from empirical knowledge and then adaptively help developers improve their contributions. Extensive experiments demonstrate that OSS Mentor significantly outperforms excellent experimental results. Moreover, it is the first time that the presented framework explores deep reinforcement learning techniques to manage open source software, which enables us to design a more robust framework to improve developers' contributions.
