关于跨软件存储库挖掘数据

P. Anbalagan, M. Vouk
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引用次数: 18

摘要

软件存储库提供了大量关于开放源码项目的有价值的信息。随着存储库维护的数据规模的增加,从单个存储库中自动提取这些数据以及跨存储库链接的信息已经成为一种必要。在本文中,我们描述了一个使用web抓取来自动挖掘存储库和跨存储库链接信息的框架。我们将讨论该框架的两种实现。在第一个实现中,我们使用来自国家漏洞数据库的相关漏洞信息,从部署Bugzilla漏洞跟踪器的项目存储库中自动识别和收集安全问题报告。其次,我们收集部署Launchpad漏洞跟踪器的项目的安全问题报告以及来自国家漏洞数据库的相关漏洞信息。我们已经在不同版本的Fedora、Ubuntu、Suse、RedHat和Firefox项目上评估了我们的工具。使用我们的工具发现的安全漏洞的百分比与其他研究人员报告的一致。
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On mining data across software repositories
Software repositories provide abundance of valuable information about open source projects. With the increase in the size of the data maintained by the repositories, automated extraction of such data from individual repositories, as well as of linked information across repositories, has become a necessity. In this paper we describe a framework that uses web scraping to automatically mine repositories and link information across repositories. We discuss two implementations of the framework. In the first implementation, we automatically identify and collect security problem reports from project repositories that deploy the Bugzilla bug tracker using related vulnerability information from the National Vulnerability Database. In the second, we collect security problem reports for projects that deploy the Launchpad bug tracker along with related vulnerability information from the National Vulnerability Database. We have evaluated our tool on various releases of Fedora, Ubuntu, Suse, RedHat, and Firefox projects. The percentage of security bugs identified using our tool is consistent with that reported by other researchers.
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