Collaborative Research: Elements: Software: Software Health Monitoring and Improvement Framework

协作研究：要素：软件：软件健康监控和改进框架

• 批准号: 1835292
• 负责人: Yuanfang Cai
• 金额: $ 29.97万
• 依托单位: Drexel University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-11-01 至 2023-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1835292&HistoricalAwards=false
• 关键词: Collaborative; Research; Elements; Software; Health

Software underpins every aspects of modern life, with significant impact in society. Poor quality software can cause huge financial losses, even threatening people's lives. Software quality is even more critical within the scientific community. The reproducibility of research results and sustainability of the research itself, heavily depend on the quality of the software developed by scientists, who usually acquire basics of software programming but are not aware of the best design practices. As a consequence, several existing open access scientific software packages are known to be hard to use and evolve due to their poor quality, as highlighted in recent studies. This project will integrate and enhance recent advances in software issue detection and refactoring techniques, created by the PIs and sponsored by NSF, in order to serve diverse scientific and engineering domains, detecting and fixing software quality issues effectively. This proposal seeks to bridge the gap between software engineering community and other science and engineering community in general. It will provide quantitative comparisons of software projects against an industrial benchmark, enable users to pinpoint software issues responsible for high maintenance costs, visualize the severity of the detected issues, and refactor them using the proposed interactive refactoring framework. The proposed framework will bring together software users and software developers by enabling non software experts to post software challenges for the software community to solve, which will, in turn, boost the research and advances in software research.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.

软件支持了现代生活的各个方面，对社会产生了重大影响。质量差的软件可能会造成巨大的财务损失，甚至威胁人们的生命。在科学界，软件质量更为重要。研究结果的可重复性和研究本身的可持续性在很大程度上取决于科学家开发的软件的质量，科学家通常会获取软件编程的基础知识，但并不了解最佳的设计实践。因此，正如最近的研究中强调的那样，已知几种现有的开放式科学软件包由于质量差而难以使用和发展。该项目将整合并增强由PIS创建和NSF赞助的软件问题检测和重构技术的最新进展，以服务于多样化的科学和工程领域，有效地检测和修复软件质量问题。该建议旨在弥合软件工程社区与其他科学和工程社区之间的差距。它将提供软件项目与工业基准测试的定量比较，使用户能够查明负责高维护成本的软件问题，可视化检测到的问题的严重性，并使用拟议的互动互动重构框架进行重构。拟议的框架将通过使非软件专家能够向软件社区提出软件挑战来解决软件用户和软件开发人员，从而促进软件研究的研究和进步。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子和更广泛的影响来评估CRITERIA CRITERIA CRITERIA的评估。

项目成果

Evaluating the Impact of Possible Dependencies on Architecture-Level Maintainability

• DOI: 10.1109/tse.2022.3171288
• 发表时间: 2023-03
• 期刊: IEEE Transactions on Software Engineering
• 影响因子: 7.4
• 作者: Wuxia Jin;Dinghong Zhong;Yuanfang Cai;R. Kazman;Ting Liu

Exploring the Architectural Impact of Possible Dependencies in Python Software

• DOI: 10.1145/3324884.3416619
• 发表时间: 2020-09
• 期刊: 2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE)
• 作者: Wuxia Jin;Yuanfang Cai;R. Kazman;Gang Zhang;Q. Zheng;Ting Liu

On the Lack of Consensus Among Technical Debt Detection Tools

论技术债务检测工具缺乏共识

• DOI: 10.1109/icse-seip52600.2021.00021
• 发表时间: 2021
• 期刊: 10.1109/ICSE-SEIP52600.2021.00021
• 作者: Lefever, Jason;Cai, Yuanfang;Cervantes, Humberto;Kazman, Rick;Fang, Hongzhou
• 通讯作者: Fang, Hongzhou

Detecting the Locations and Predicting the Maintenance Costs of Compound Architectural Debts

• DOI: 10.1109/tse.2021.3102221
• 发表时间: 2021-08
• 期刊: IEEE Transactions on Software Engineering
• 影响因子: 7.4
• 作者: Lu Xiao;Yuanfang Cai;R. Kazman;Ran Mo;Qiong Feng

Software design analysis and technical debt management based on design rule theory

基于设计规则理论的软件设计分析与技术债务管理

• DOI: 10.1016/j.infsof.2023.107322
• 发表时间: 2023
• 期刊: Information and Software Technology
• 影响因子: 3.9
• 作者: Cai, Yuanfang;Kazman, Rick
• 通讯作者: Kazman, Rick