可视化系统演化及其库依赖关系

R. Kula, Coen De Roover, D. Germán, T. Ishio, Katsuro Inoue
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引用次数: 57

摘要

系统维护者面临着来自系统及其库依赖关系独立发展的几个挑战。新手维护者可能缺乏有效管理继承系统所需的历史知识。虽然有些库会定期更新,但有些系统仍然依赖于旧版本。另一方面,维护人员可能不知道其他系统已经使用了一个库的不同版本。在本文中,我们从两个角度可视化了系统及其依赖关系之间的依赖关系是如何演变的。我们以系统为中心的依赖关系图(SDP)可视化了系统随时间推移所依赖的连续库版本。放射状布局和热图隐喻提供了关于系统发布历史中依赖关系变化的视觉线索。从这个角度来看,维护人员可以导航到以库为中心的依赖扩散图(LDP)。LDP是一个时间序列可视化,它显示了用户在不同版本的库中的分布情况。我们通过四个场景演示了维护人员如何从我们的可视化中获益。
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Visualizing the Evolution of Systems and Their Library Dependencies
System maintainers face several challenges stemming from a system and its library dependencies evolving separately. Novice maintainers may lack the historical knowledge required to efficiently manage an inherited system. While some libraries are regularly updated, some systems keep a dependency on older versions. On the other hand, maintainers may be unaware that other systems have settled on a different version of a library. In this paper, we visualize how the dependency relation between a system and its dependencies evolves from two perspectives. Our system-centric dependency plots (SDP) visualize the successive library versions a system depends on over time. The radial layout and heat-map metaphor provide visual clues about the change in dependencies along the system's release history. From this perspective, maintainers can navigate to a library-centric dependants diffusion plot (LDP). The LDP is a time-series visualization that shows the diffusion of users across the different versions of a library. We demonstrate on real-world systems how maintainers can benefit from our visualizations through four case scenarios.
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