Analyzing Maintenance Activities of Software Libraries

Alexandros Tsakpinis
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Abstract

Industrial applications heavily integrate open-source software libraries nowadays. Beyond the benefits that libraries bring, they can also impose a real threat in case a library is affected by a vulnerability but its community is not active in creating a fixing release. Therefore, I want to introduce an automatic monitoring approach for industrial applications to identify open-source dependencies that show negative signs regarding their current or future maintenance activities. Since most research in this field is limited due to lack of features, labels, and transitive links, and thus is not applicable in industry, my approach aims to close this gap by capturing the impact of direct and transitive dependencies in terms of their maintenance activities. Automatically monitoring the maintenance activities of dependencies reduces the manual effort of application maintainers and supports application security by continuously having well-maintained dependencies.
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分析软件库的维护活动
如今,工业应用大量集成了开源软件库。除了库带来的好处之外,如果库受到漏洞的影响,但其社区不积极创建修复版本,它们也会带来真正的威胁。因此,我想为工业应用程序引入一种自动监控方法,以识别在当前或未来维护活动中显示负面信号的开源依赖关系。由于该领域的大多数研究由于缺乏特征、标签和传递链接而受到限制,因此不适用于工业,因此我的方法旨在通过捕获直接和传递依赖关系在其维护活动方面的影响来缩小这一差距。自动监视依赖项的维护活动减少了应用程序维护人员的手工工作,并通过持续拥有维护良好的依赖项来支持应用程序安全性。
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