PFI–TT: Intelligent Software Refactoring Bot for Continuous Integration

PFI™TT：用于持续集成的智能软件重构机器人

• 批准号: 2216768
• 负责人: Marouane Kessentini
• 金额: $ 25万
• 依托单位: Oakland 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: 2022-03-15 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2216768&HistoricalAwards=false
• 关键词: PFI; TT; Intelligent; Software; Refactoring

The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project focuses on issues of economic impact: improvement of the software and systems that underpin our national infrastructure. By adopting the proposed technology, software development teams may avoid critical quality and security issues. This intelligent refactoring technology enables organizations to better maintain their software as it ages and better align their maintenance efforts with their priorities. This innovation seeks to deliver continuous will also provide training opportunities for students in technological innovation and entrepreneurship. This project focuses on developing scalable methods to determine when and how to integrate developer feedback to semi-automate code refactoring for continuous integration environments while adhering to industry standards to align the effort with their commercialization objectives. Software refactoring is recognized as the key component for maintaining high quality software by restructuring existing code and reducing technical debt. Refactoring requires programmers to review, detect, and fix quality issues to improve software performance. However, refactoring is difficult to achieve and often neglected not only due to a pressure to meet release deadlines, but also due to the constraints imposed by manual refactoring as well as lack of technical skill in restructuring complex systems. The traditional root-canal refactoring process is not practical since it is time consuming and hard to integrate in the development pipelines. Hence, new refactoring tool must deliver timely support for code repair. The goal of this technology is to clearly exhibit the feasibility of combining interactive, semi-automated, refactoring technology with continuous integration via an artificial intelligence-based bot and demonstrate the implemented concept at large-scale. The effort will also support multiple programming languages including quantitative (such as accuracy, relevance, and performance) and qualitative (such as programmers' comments) aspects.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.

该创新-技术转化伙伴关系（PFI-TT）项目的更广泛影响/商业潜力侧重于经济影响问题：改进支撑我们国家基础设施的软件和系统。通过采用所提出的技术，软件开发团队可以避免关键的质量和安全问题。这种智能重构技术使组织能够在软件老化时更好地维护软件，并使维护工作与优先级更好地保持一致。 这种创新的目的是提供持续的也将提供培训机会，为学生在技术创新和创业。该项目的重点是开发可扩展的方法，以确定何时以及如何将开发人员的反馈集成到持续集成环境的半自动代码重构中，同时遵守行业标准，使其与商业化目标保持一致。软件重构被认为是通过重构现有代码和减少技术债务来保持高质量软件的关键组成部分。重构要求程序员检查、检测和修复质量问题，以提高软件性能。然而，重构是难以实现的，往往被忽视，不仅是由于压力，以满足发布期限，而且还由于手动重构以及缺乏技术技能，在重组复杂的系统所施加的限制。传统的根管重构过程是不实用的，因为它是耗时的，很难集成到开发管道。因此，新的重构工具必须提供及时的代码修复支持。这项技术的目标是清楚地展示通过基于人工智能的机器人将交互式、半自动化、重构技术与持续集成相结合的可行性，并大规模展示实现的概念。这项工作还将支持多种编程语言，包括定量（如准确性，相关性和性能）和定性（如程序员的评论）方面。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

项目成果

Dynamic Software Containers Workload Balancing via Many-Objective Search

• DOI: 10.1109/tsc.2023.3237755
• 发表时间: 2023-07
• 期刊: IEEE Transactions on Services Computing
• 影响因子: 8.1
• 作者: Anwar Ghammam;T. Ferreira;Wajdi Aljedaani;Marouane Kessentini;Ali Husain

How Does Refactoring Impact Security When Improving Quality? A Security-Aware Refactoring Approach

• DOI: 10.1109/tse.2020.3005995
• 发表时间: 2020-06
• 期刊: IEEE Transactions on Software Engineering
• 影响因子: 7.4
• 作者: Chaima Abid;Marouane Kessentini;Vahid Alizadeh;Mouna Dhaouadi;R. Kazman

Industry's Cry for Tools that Support Large-Scale Refactoring

业界迫切需要支持大规模重构的工具

• DOI: 10.1145/3510457.3513074
• 发表时间: 2022
• 期刊: 2022 IEEE/ACM 44th International Conference on Software Engineering
• 作者: James Ivers;Robert L. Nord;Ipek Ozkaya;Chris Seifried;Christopher S. Timperley;Marouane Kessentini
• 通讯作者: Marouane Kessentini