SHF: Medium: Collaborative Research: Improved Performance Testing and Debugging

SHF：中：协作研究：改进的性能测试和调试

• 批准号: 1409829
• 负责人: Harry Xu
• 金额: $ 30万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1409829&HistoricalAwards=false
• 关键词: SHF; Medium; Collaborative; Research; Improved

Software performance is critical for how end users perceive the quality of the deployed software. Performance problems, also called "performance bugs", typically correspond to software faults that create significant performance degradation. Much evidence shows that seemingly harmless performance problems can lead to severe scalability reductions and financial losses. This project develops a set of new techniques and tools that can significantly improve performance testing and debugging.Specifically, the project focuses on three key challenges. First, what are common patterns of performance bugs and how can these patterns be detected during testing, before they manifest in production runs? Second, how to ensure that code changes for adding new features, fixing bugs, or even improving performance do not have unintended consequence of decreasing performance? Third, how to find causes of performance bugs from testing runs, regression checks, and in-field execution traces? The broader impacts of the project are that improved performance testing and debugging can substantially increase the quality of the deployed software and thus the quality of life in a modern society that heavily depends on software.

软件性能对于最终用户如何看待已部署软件的质量至关重要。 性能问题，也称为“性能错误”，通常对应于导致性能显着下降的软件故障。 大量证据表明，看似无害的性能问题可能会导致严重的可扩展性降低和财务损失。 该项目开发了一套可以显着改善性能测试和调试的新技术和工具。具体来说，该项目重点关注三个关键挑战。 首先，性能错误的常见模式是什么，以及如何在测试期间检测到这些模式，然后再在生产运行中显现出来？ 其次，如何确保为添加新功能、修复错误甚至提高性能而进行的代码更改不会导致性能下降的意外后果？ 第三，如何从测试运行、回归检查和现场执行跟踪中查找性能错误的原因？ 该项目更广泛的影响是，改进的性能测试和调试可以大大提高所部署软件的质量，从而提高严重依赖软件的现代社会的生活质量。