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

软件性能对于最终用户如何感知所部署软件的质量至关重要。 性能问题，也称为“性能错误”，通常对应于造成显著性能下降的软件故障。 许多证据表明，看似无害的性能问题可能导致严重的可伸缩性降低和财务损失。 该项目开发了一套新的技术和工具，可以显著提高性能测试和调试。 首先，性能错误的常见模式是什么？如何在测试期间检测这些模式，然后才能在生产运行中表现出来？ 第二，如何确保为添加新功能、修复bug甚至提高性能而进行的代码更改不会导致性能下降？ 第三，如何从测试运行、回归检查和现场执行跟踪中找到性能错误的原因？ 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。

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.