EAGER: Investigating the Feasibility and Scope of Automated Refactoring for Distributed Software

EAGER：研究分布式软件自动重构的可行性和范围

• 批准号: 2232565
• 负责人: Eli Tilevich
• 金额: $ 15万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2232565&HistoricalAwards=false
• 关键词: EAGER; Investigating; Feasibility; Scope; Automated

As software is maintained over its lifetime and new features are added, it often becomes necessary to restructure the software to continue working with expected functionality and performance. This restructuring, called refactoring, is tedious and error-prone, consuming software development time and delaying releases. In modern software development processes, refactoring is routine but only applies to software running on one machine. With the increasing ubiquity of distributed applications, such as those for the web, mobile systems, and the Internet of Things, refactoring techniques do not apply. This EAGER grant explores the issues involved in extending refactoring to distributed systems. Refactoring is the application of semantics-preserving program transformations to restructure software for better performance, modularity, and other attributes. Refactoring has become an integral part of the modern software development processes, but only for centralized software that runs within a single address space. When evolving a distributed system, programmers apply existing refactoring techniques to its individual components, treating them as separate, unrelated parts, so these techniques remain unaware of the distributed communication across these parts. When programmers can refactor only the individual parts of a distributed system, (1) the overall system’s execution semantics may not be preserved, and (2) the system’s distribution cannot be changed, thus making it impossible to fulfill many important objectives for modifying modern distributed systems. Distributed applications have many accompanying challenges – such as being written by independent programmers in decentralized ecosystems and in multiple languages with different semantics that need to be related and preserved. This EAGER grant will uncover technical possibilities and challenges as a step toward understanding and addressing these challenges.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

随着软件在其一生中的维护并添加了新功能，通常需要恢复软件以继续使用预期功能和性能。这种称为重构的餐厅是繁琐的，容易出错的，消耗软件开发时间并延迟发行版。在现代软件开发过程中，重构是常规的，但仅适用于在一台计算机上运行的软件。随着分布式应用程序的普遍性越来越多，例如网络，移动系统和物联网的应用程序，重构技术不适用。这项渴望的赠款探讨了将重构扩展到分布式系统所涉及的问题。重构是将语义保护程序转换应用于还原软件，以提高性能，模块化和其他属性。重构已成为现代软件开发过程中不可或缺的一部分，但仅用于在单个地址空间内运行的集中式软件。当不断发展分布式系统时，程序员将现有的重构技术应用于其各个组件，将它们视为单独的，无关的部分，因此这些技术仍然是在这些部分中分布式通信的无限制。当程序员只能重构分布式系统的各个部分时，（1）总体系统的执行语义可能无法保留，并且（2）无法更改系统的分布，因此无法实现修改现代分布式系统的许多重要目标。分布式应用程序有许多参与的挑战，例如由独立程序员在分散的生态系统和多种语言中编写的，具有不同的语义，需要相关和保留。这项渴望的赠款将发现技术的可能性和挑战，这是迈向理解和应对这些挑战的一步。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响来审查标准，通过评估来诚实地支持。

项目成果

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• 发表时间: 2023-05
• 期刊: Comput. Commun.
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Quality of Information Matters: Recommending Web Services for Performance and Utility

• DOI: 10.1109/cloudcom55334.2022.00016
• 发表时间: 2022-12
• 期刊: 2022 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
• 作者: Zheng Song;Owen Rowader;Zheng R. Li;Maryam Tello;E. Tilevich

Toward a Better Alignment Between the Research and Practice of Code Search Engines

• DOI: 10.1109/apsec57359.2022.00034
• 发表时间: 2022-12
• 期刊: 2022 29th Asia-Pacific Software Engineering Conference (APSEC)
• 作者: Yin Liu;Shuangyi Li;Eli Tilevich