| 基于ARUP、DevOps 和CMMI 融合的软件服务过程管理优化策略 |
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| 引用本文： | 毛文逸,谭文安,张晏逢,杨灏. 基于ARUP、DevOps 和CMMI 融合的软件服务过程管理优化策略[J]. 上海第二工业大学学报, 2024, 41(1): 71-78 |
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| 作者姓名： | 毛文逸 谭文安 张晏逢 杨灏 |
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| 作者单位： | 上海第二工业大学计算机与信息工程学院, 上海201219,上海第二工业大学计算机与信息工程学院, 上海201219,上海第二工业大学计算机与信息工程学院, 上海201219,上海第二工业大学计算机与信息工程学院, 上海201219 |
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| 基金项目： | 国家自然科学基金项目(61672022, U1904186), 上海市研究生教育学会研究课题(ShsgeG202207) 资助 |
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| 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。
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| 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 |
Software Service Process Management Optimization Based on the Convergence of ARUP, DevOps and CMMI |
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| MAO Wen-yi,TAN Wen-an,ZHANG Yan-feng and YANG Hao. Software Service Process Management Optimization Based on the Convergence of ARUP, DevOps and CMMI[J]. Journal of Shanghai Second Polytechnic University, 2024, 41(1): 71-78 |
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| Authors: | MAO Wen-yi TAN Wen-an ZHANG Yan-feng YANG Hao |
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| Affiliation: | School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai 201219, China,School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai 201219, China,School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai 201219, China and School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai 201219, China |
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| Abstract: | With the rapid development of information technology and the widespread use of service computing, effective process management 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 managementoptimization 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 improvementin 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. |
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| Keywords: | software service engineering agile rational unified process (ARUP) development and operations (DevOps) capability maturity model integration (CMMI) process management optimization |
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