POLLUX: safely upgrading dependent application libraries

Sukrit Kalra, Ayush Goel, Dhriti Khanna, Mohan Dhawan, Subodh Sharma, Rahul Purandare
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引用次数: 8

Abstract

Software evolution in third-party libraries across version upgrades can result in addition of new functionalities or change in existing APIs. As a result, there is a real danger of impairment of backward compatibility. Application developers, therefore, must keep constant vigil over library enhancements to ensure application consistency, i.e., application retains its semantic behavior across library upgrades. In this paper, we present the design and implementation of POLLUX, a framework to detect application-affecting changes across two versions of the same dependent non-adversarial library binary, and provide feedback on whether the application developer should link to the newer version or not. POLLUX leverages relevant application test cases to drive execution through both versions of the concerned library binary, records all concrete effects on the environment, and compares them to determine semantic similarity across the same API invocation for the two library versions. Our evaluation with 16 popular, open-source library binaries shows that POLLUX is accurate with no false positives and works across compiler optimizations.
安全升级依赖的应用程序库
跨版本升级的第三方库中的软件演进可能导致新功能的增加或现有api的更改。因此,存在损害向后兼容性的真正危险。因此,应用程序开发人员必须时刻关注库的增强,以确保应用程序的一致性,也就是说,应用程序在库升级期间保持其语义行为。在本文中,我们介绍了POLLUX的设计和实现,这是一个框架,用于检测相同的依赖非对抗性库二进制文件的两个版本之间影响应用程序的更改,并提供关于应用程序开发人员是否应该链接到较新的版本的反馈。POLLUX利用相关的应用程序测试用例来驱动相关库二进制文件的两个版本的执行,记录对环境的所有具体影响,并对它们进行比较,以确定两个库版本的相同API调用之间的语义相似性。我们对16个流行的开源库二进制文件进行了评估,结果表明,POLLUX是准确的,没有误报,并且可以跨编译器优化工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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