Lib Metamorphosis: A Performance Analysis Framework for Exchanging Data Structures in Performance Sensitive Applications

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2019-09-01 DOI:10.1109/ICSME.2019.00063

Michael D. Shah

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引用次数: 0

Abstract

When software does not meet performance requirements, difficult decisions are made to change central data structures which may be costly financially and increase development time. In addition, monitoring how these data structures are used, and trying to understand performance implications of any change may prevent any evolution of the original infrastructure. Thus, radical revisions to software may be avoided due to the barriers of time and engineering complexity costs. Our solution to helping developers make infrastructure changes to improve performance is to provide a refactoring tool where developers may swap data structures. Our tool preserves correctness by utilizing the software's test suite and also measures performance automatically of the swapped data structure. We believe there is need for such a tool to help encourage more radical revisions and experimentation in large software projects to improve performance. Our frameworks success will be evaluated based on preserving the correctness of the software within a developer created test suite while providing performance information based on modified data structures.

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Lib Metamorphosis:在性能敏感应用程序中交换数据结构的性能分析框架

当软件不能满足性能要求时，更改中心数据结构的决定就会变得困难，这可能会带来高昂的财务成本，并增加开发时间。此外，监视这些数据结构的使用方式，并试图了解任何更改的性能影响，可能会阻止原始基础设施的任何发展。因此，由于时间和工程复杂性成本的障碍，可以避免对软件进行彻底的修改。我们帮助开发人员更改基础设施以提高性能的解决方案是提供一个重构工具，开发人员可以在其中交换数据结构。我们的工具通过使用软件的测试套件来保持正确性，并且还自动测量交换数据结构的性能。我们相信需要这样的工具来帮助鼓励在大型软件项目中进行更激进的修订和实验，以提高性能。我们的框架的成功将基于在开发人员创建的测试套件中保留软件的正确性来评估，同时提供基于修改数据结构的性能信息。

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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2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)

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