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Perf4JS: Automatically Fixing Performance Problems in Real-World JavaScript Applications

Perf4JS：自动修复现实 JavaScript 应用程序中的性能问题

基本信息

批准号：
383433544
负责人：
Professor Dr. Michael Pradel
金额：
--
依托单位：
Abteilung Software Lab (SOLA)
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2017
资助国家：
德国
起止时间：
2016-12-31 至 2020-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/383433544?language=en
关键词：
Perf4JS Automatically Fixing Performance Problems

项目摘要

As dynamic languages, e.g., JavaScript, are becoming more and more prevalent, the performance of applications written in these languages is crucial to ensure responsiveness, high throughput, and energy-efficiency. Unfortunately, finding and optimizing performance bottlenecks currently is a mostly manual and time-consuming process performed by few expert developers. The reason is that existing program analysis techniques for dynamic languages suffer from fundamental limitations that prevent tools from automating effective code optimizations. The proposed project will research novel program analysis and refactoring techniques that address the specific needs of highly dynamic languages. We expect these fundamentally new techniques to enable a wide range of applications across multiple domains, languages, and software quality goals. As a specific application, the proposal focuses on automatically improving the performance of real-world JavaScript applications. To this end, we will develop approaches that help developers to detect optimization opportunities, refactor them by replacing inefficient with efficient code, and by reliably and realistically measuring the effect on performance. We envision that the planned work has a significant impact on the thriving research fields of program analysis and performance analysis.

作为动态语言，例如，JavaScript，正变得越来越流行，用这些语言编写的应用程序的性能对于确保响应能力、高吞吐量和能效至关重要。不幸的是，查找和优化性能瓶颈目前主要是由少数专家开发人员执行的手动和耗时的过程。原因在于，现有的动态语言程序分析技术受到基本限制，这些限制阻止了工具自动化有效的代码优化。该项目将研究新的程序分析和重构技术，以满足高度动态语言的特定需求。我们期望这些全新的技术能够实现跨多个领域、语言和软件质量目标的广泛应用。作为一个具体的应用程序，该提案的重点是自动提高现实世界的JavaScript应用程序的性能。为此，我们将开发方法，帮助开发人员检测优化机会，通过用高效代码替换低效代码来重构它们，并通过可靠和现实地测量对性能的影响。我们预计，计划中的工作将对程序分析和性能分析等蓬勃发展的研究领域产生重大影响。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Satisfying Increasing Performance Requirements With Caching at the Application Level

DOI：
10.1109/ms.2020.3033508
发表时间：
2020-10
期刊：
IEEE Software
影响因子：
3.3
作者：
Jhonny Mertz;Ingrid Nunes;Luca Della Toffola;Marija Selakovic;Michael Pradel
通讯作者：
Jhonny Mertz;Ingrid Nunes;Luca Della Toffola;Marija Selakovic;Michael Pradel

Feedback-directed differential testing of interactive debuggers

DOI：
10.1145/3236024.3236037
发表时间：
2018-09
期刊：
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
影响因子：
0
作者：
Daniel Lehmann;Michael Pradel
通讯作者：
Daniel Lehmann;Michael Pradel

Interactive metamorphic testing of debuggers

DOI：
10.1145/3293882.3330567
发表时间：
2019-07
期刊：
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis
影响因子：
0
作者：
S. Tolksdorf;Daniel Lehmann;Michael Pradel
通讯作者：
S. Tolksdorf;Daniel Lehmann;Michael Pradel

Wasabi: A Framework for Dynamically Analyzing WebAssembly