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| 论文编号: | 15600 | |
| 作者编号: | 2320233805 | |
| 上传时间: | 2025/12/7 21:09:52 | |
| 中文题目: | 基于敏捷开发模式的U公司软件项目管理流程优化研究 | |
| 英文题目: | Research on software project management process optimization of U company based on Agile | |
| 指导老师: | 李凯 | |
| 中文关键字: | 敏捷开发;软件项目管理;Azure DevOps;流程优化 | |
| 英文关键字: | Agile Development; Project Management; Azure DevOps; Process Optimization | |
| 中文摘要: | 在全球商用车行业数字化转型加速的背景下,软件项目管理的效率和质量直接影响企业的市场竞争力。U公司作为国际领先的商用卡车制造商,虽然已经采用敏捷开发方法进行软件项目管理,但在实际运行中仍面临着迭代周期过长、代码分支管理混乱、流程执行不透明、角色职责界定不清等一系列挑战,导致项目延期率居高不下、交付质量不稳定等问题。本研究基于敏捷开发理论框架,结合Azure DevOps项目管理工具,对U公司现有的软件项目管理体系进行系统性优化,旨在建立更高效、更规范的敏捷开发管理体系。 通过对U公司现有项目管理流程的深入调研和分析,研究发现当前存在的主要问题包括:月度迭代周期难以适应快速变化的市场需求;代码分支策略使用混乱且不规范;缺陷管理和产品待办项处理流程不够清晰,角色分工不够明确等。针对这些问题,本研究提出了一套综合性的优化方案。首先将原有的四周迭代周期缩短为两周,以提升需求响应速度;同时统一了代码分支策略,规范使用方法;进一步规范了缺陷管理和产品待办项的处理流程,明确了问题分类、优先级划分和解决路径;此外,还清晰界定了业务分析师、开发人员和测试人员在各个流程环节的具体职责和交付物标准。 在方案实施层面,本研究充分利用Azure DevOps平台的功能特性,借助仪表盘功能增强项目进度的透明度。优化方案在U公司的实际项目中进行了为期六个月的验证实施。项目实施后关键绩效指标得到显著改善,需求变更的响应速度明显加快,项目风险的可预见性也得到增强。 本研究不仅为U公司的软件项目管理提供了切实可行的优化方案,其研究成果对于其他正在进行数字化转型的传统制造企业,特别是商用车行业的同行,在实施敏捷开发方法和优化项目管理流程方面也具有重要的参考价值。研究证实,通过合理调整迭代周期、规范代码分支策略、明确角色职责,并有效利用现代化的项目管理工具,可以显著提升软件项目的交付效率和质量,从而更好地支持企业的数字化转型战略。 | |
| 英文摘要: | Against the backdrop of accelerating digital transformation in the global commercial vehicle industry, the efficiency and quality of software project management directly affect a company’s market competitiveness. As an internationally leading commercial truck manufacturer, Company U has adopted Agile development methods for software project management. However, in practice, it still faces a series of challenges, including overly long iteration cycles, non-standardized documentation, non-transparent process execution, and unclear definition of roles and responsibilities. These issues have resulted in persistently high project delay rates and unstable delivery quality. Based on the theoretical framework of agile development and in combination with the Azure DevOps project management platform, this study systematically optimizes the existing software project management system of Company U, aiming to establish a more efficient and standardized agile management framework. Through in-depth investigation and analysis of the company’s current project management processes, the study identifies several key problems: the monthly iteration cycle fails to meet the rapidly changing market demands; the code branching strategy is inconsistent and lacks standardization; the defect management and product backlog handling processes are unclear; and the role distribution among team members is not well defined. To address these issues, this study proposes a comprehensive optimization scheme. The original four-week iteration cycle is shortened to two weeks to enhance responsiveness to demand changes; the code branching strategy is unified and standardized; the processes for defect management and product backlog handling are refined, with explicit definitions for issue classification, priority setting, and resolution pathways; and the roles and deliverables of business analysts, developers, and testers are clearly defined across each stage of the process. At the implementation level, this study fully leverages the functional features of Azure DevOps, utilizing dashboards to improve project transparency. The optimized framework was implemented and validated over six months in actual projects within Company U. After implementation, key performance indicators (KPIs) showed significant improvement—demand response speed increased noticeably, and project risk predictability was enhanced. This research not only provides a practical and effective optimization plan for the Company U but also offers valuable insights for other traditional manufacturing enterprises undergoing digital transformation, particularly within the commercial vehicle industry. The findings confirm that by appropriately adjusting iteration cycles, standardizing code branch strategies, clarifying role responsibilities, and effectively leveraging modern project management tools, enterprises can significantly improve software project delivery efficiency and quality, thereby better supporting their overall digital transformation strategies. | |
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