IRES Track I: US-Finnish research on sustainable evolution and technical debt management in cloud-native systems

IRES Track I：美国-芬兰关于云原生系统可持续发展和技术债务管理的研究

• 批准号: 2245287
• 负责人: Tomas Cerny
• 金额: $ 30万
• 依托单位: Baylor University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2245287&HistoricalAwards=false
• 关键词: IRES; Track; US; Finnish; research

Cloud-native software design aims to fully utilize the benefits of cloud infrastructure. The development of cloud-native systems is complex and requires the interaction of many teams, often responsible for individual subsets of such a system or different perspectives (i.e., operations). However, the evolution management of these systems is challenged by their decentralized nature and possibly separately managed codebases. Understanding the holistic perspective of such systems with many moving parts involved takes herculean efforts for developers to analyze the system as a whole. This research project advances knowledge in cloud-native system analysis. It introduces evolution safeguards to cloud-native systems to reduce maintenance efforts. This project combines dynamic and static system analysis perspectives into a comprehensive system intermediate representation leading to holistic reasoning. Such a representation will enable comprehensive system assessment and automated reasoning about potential design anomalies. It will include interactive visualization of various system aspects to help practitioners better observe their systems holistically and educate practitioners and students about typical design pitfalls specific to these systems. This project considers human-centered and technical perspectives to enable automation and expert knowledge for more sustainable system evolution. Throughout the lifespan of this project, 18 US students will be engaged in international research experience taking place at Oulu University in Finland, under the supervision of Professors Davide Taibi and Valentina Lenarduzzi, who will work in concert with the US Principal Investigator. Project results will also be used to engage prospective students with STEM and promote university research and coursework in software engineering.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.

云原生软件设计旨在充分利用云基础设施的优势。云原生系统的开发是复杂的，需要许多团队的交互，他们通常负责此类系统的各个子集或不同的视角(即操作)。然而，这些系统的演化管理受到其分散性以及可能单独管理的代码库的挑战。了解这类系统的整体视角，包括许多移动部件，开发人员需要付出巨大的努力来分析系统作为一个整体。本研究项目提升了云本地系统分析方面的知识。它为云本地系统引入了演进保障措施，以减少维护工作量。这个项目将动态和静态系统分析的观点结合到一个全面的系统中间表示中，从而导致整体推理。这样的表述将使全面的系统评估和对潜在设计异常的自动推理成为可能。它将包括各种系统方面的交互式可视化，以帮助从业者更好地从整体上观察他们的系统，并教育从业者和学生关于这些系统特定的典型设计陷阱。该项目考虑了以人为中心的观点和技术观点，以实现自动化和专家知识，以实现更可持续的系统演变。在该项目的整个生命周期中，18名美国学生将在芬兰奥卢大学参与国际研究体验，由Davide Tybi教授和瓦伦蒂娜·Lenarduzzi教授指导，他们将与美国首席调查员合作。项目成果还将用于吸引STEM的潜在学生，并促进大学在软件工程方面的研究和课程工作。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Microservice-Aware Static Analysis: Opportunities, Gaps, and Advancements

微服务感知静态分析：机遇、差距和进步

• 发表时间: 2023
• 期刊: Open access series in informatics
• 作者: Tomas Cerny, Davide Taibi

Catalog and detection techniques of microservice anti-patterns and bad smells: A tertiary study

• DOI: 10.1016/j.jss.2023.111829
• 发表时间: 2023-09-21
• 期刊: JOURNAL OF SYSTEMS AND SOFTWARE
• 影响因子: 3.5
• 作者: Cerny，Tomas;Abdelfattah，Amr S.;Taibi，Davide
• 通讯作者: Taibi，Davide

The Microservice Dependency Matrix

微服务依赖关系矩阵

• 发表时间: 2023
• 期刊: Springer
• 作者: Amr S. Abdelfattah;Tomas Cerny
• 通讯作者: Tomas Cerny

End-to-End Test Coverage Metrics in Microservice Systems: An Automated Approach

微服务系统中的端到端测试覆盖率指标：一种自动化方法

• 发表时间: 2023
• 期刊: Springer
• 作者: Amr S. Abdelfattah, Tomas Cerny