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

基本信息

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

项目摘要

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.

云本地软件设计旨在充分利用云基础架构的好处。云本地系统的开发是复杂的，需要许多团队的互动，通常负责这种系统或不同观点的各个子集（即操作）。但是，这些系统的进化管理受到其分散的性质和可能分别管理的代码库的挑战。了解这些系统的整体观点涉及许多活动部件，这需要开发人员为整个系统分析该系统的努力。该研究项目在云本地系统分析方面提高了知识。它将进化保障范围引入了云本地系统，以减少维护工作。该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，从而导致整体推理。这样的表示将使有关潜在设计异常的全面系统评估和自动推理。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观察他们的系统，并教育从业者和学生有关这些系统特定的典型设计陷阱。该项目考虑以人为本和技术观点，以实现自动化和专业知识，以实现更可持续的系统发展。在该项目的整个生命周期中，在芬兰的奥卢大学（Oulu University）的国际研究经验中，在Davide Taibi教授和Valentina Lenarduzzi的监督下，他们将与美国首席研究员合作。项目结果还将用于吸引潜在学生具有STEM，并在软件工程领域的大学研究和课程中促进大学研究和课程。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来获得支持的。