上海第二工业大学学报2024,Vol.41Issue(1) :71-78.DOI:10.19570/j.cnki.jsspu.2024.01.009

基于ARUP、DevOps和CMMI融合的软件服务过程管理优化策略

Software Service Process Management Optimization Based on the Convergence of ARUP,DevOps and CMMI

毛文逸 谭文安 张晏逢 杨灏
上海第二工业大学学报2024,Vol.41Issue(1) :71-78.DOI:10.19570/j.cnki.jsspu.2024.01.009

基于ARUP、DevOps和CMMI融合的软件服务过程管理优化策略

Software Service Process Management Optimization Based on the Convergence of ARUP,DevOps and CMMI

毛文逸 1谭文安 1张晏逢 1杨灏1
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作者信息

  • 1. 上海第二工业大学 计算机与信息工程学院,上海 201219
  • 折叠

摘要

随着信息技术的快速发展和服务计算的广泛应用,有效的过程管理支持随需应变的软件服务变得愈发重要.现代软件服务工程面临诸多挑战,如微服务架构与服务拆分、多团队沟通协作等.为此,结合基于敏捷统一过程(ARUP)的演进式服务开发方法,提出了一种基于开发运维一体化(DevOps)的团队协同和能力成熟度模型集成(CMMI)的过程管理优化策略与算法,案例分析展示需求管理和质量保障是软件开发持续过程改进的最有效方法,所提出的算法有效提高软件服务的质量、效率和可持续性,可为学术研究者和工业实践者提供参考与指导.

Abstract

With the rapid development of information technology and the widespread use of service computing,effective process man-agement to support on-demand software services has become increasingly important.Modern software service engineering faces many challenges,such as microservice architecture and service splitting,multi-team communication and collaboration.A process manage-ment optimization strategy and the algorithm based on DevOps team collaboration and capability maturity model integration(CMMI)is proposed in conjunction with an evolutionary service development methodology based on the agile unified process(ARUP).Case study demonstrates that requirements management and quality assurance are the most effective methods for continuous process improvement in software development,and the proposed algorithm effectively improves the quality,efficiency,and sustainability of software services,providing reference and guidance for academic researchers and industrial practitioners.

关键词

软件服务工程/敏捷统一过程/开发运维一体化/能力成熟度模型集成/过程管理优化

Key words

software service engineering/agile rational unified process(ARUP)/development and operations(DevOps)/capability maturity model integration(CMMI)/process management optimization

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基金项目

国家自然科学基金(61672022)

国家自然科学基金(U1904186)

上海市研究生教育学会研究项目(ShsgeG202207)

出版年

2024
上海第二工业大学学报
上海第二工业大学

上海第二工业大学学报

影响因子:0.248
ISSN:1001-4543
参考文献量27
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