An Empirical Study of Usages, Updates and Risks of Third-Party Libraries in Java Projects

Java 第三方 计算机科学 开源 万维网 软件 互联网隐私 程序设计语言
作者
Ying Wang,Bihuan Chen,Kaifeng Huang,Bowen Shi,Congying Xu,Xin Peng,Yijian Wu,Yang Liu
标识
DOI:10.1109/icsme46990.2020.00014
摘要

Third-party libraries play a key role in software development as they can relieve developers of the heavy burden of re-implementing common functionalities. However, third-party libraries and client projects evolve asynchronously. As a result, out-dated third-party libraries might be used in client projects while developers are not aware of the potential risk (e.g., security bug). Outdated third-party libraries may be updated in client projects in a delayed way, and developers may be less aware of the potential risk (e.g., API incompatibility) in updates. Developers of third-party libraries may be unaware of how their third-party libraries are used or updated in client projects. Therefore, a quantitative and holistic study on usages, updates and risks of third-party libraries in open-source projects can provide concrete evidences on these problems, and practical insights to improve the ecosystem. In this paper, we contribute such a study in Java ecosystem. In particular, we conduct a library usage analysis (e.g., usage intensity and outdatedness) and library update analysis (e.g., update intensity and delay) on 806 open-source projects and 13,565 third- party libraries. Then, we carry out a library risk analysis (e.g., usage risk and update risk) on 806 open-source projects and 544 security bugs. These analyses aim to quantify the usage and update practices and the potential risk of using and updating outdated third-party libraries with respect to security bugs from two holistic perspectives (i.e., open-source projects and third-party libraries). Our findings suggest practical implications to developers and researchers on problems and potential solutions in maintaining third-party libraries (e.g., smart alerting and automated updating of outdated third-party libraries). To indicate the usefulness of our findings, we design a smart alerting system for assisting developers to make confident decisions when updating third-party libraries. 33 and 24 open-source projects have confirmed and updated third-party libraries after receiving our alerts.

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