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论文编号：	11346
作者编号：	2120172927
上传时间：	2019/12/12 17:21:16
中文题目：	B公司债权融资计划软件项目风险管理研究
英文题目：	Research on Risk Management of Software Projects in Debt Financing Planning in B Company
指导老师：	石鉴
中文关键字：	风险管理；项目管理；软件项目；债权融资计划
英文关键字：	Risk Management; Project Management; Software Project; Debt Financing Planning
中文摘要：	随着我国经济形势不断变化，金融行业内的竞争也越来越激烈。各金融企业根据相关政策法规、市场形势不断推出创新型的金融业务，与此同时金融科技的不断应用，让更多的金融企业加入到了业务线上化的潮流中。因金融企业自身的特性不具备专业化的软件项目建设能力，这就导致了业务线上化过程中不可避免的产生各类风险问题。在软件项目建设过程中，风险管理占据着项目管理重要位置。良好的风险管理能给软件项目尤其是大型的软件项目建设带来强大的助推力，如果一个软件项目建设中忽视了风险管理，缺乏风险识别、风险应对、风险监控与保障等环节，那么该项目很可能带来成本、进度、客户满意度等问题。 本文选取B公司债权融资计划系统的建设为例。因债权融资计划业务具有复杂性、流程化、交易金额大等特点，手工线下的业务操作已无法满足每年成倍增长的业务交易量，同时将其纳入某一业务系统的子模块也难以满足其业务需求，因此建设债权融资计划软件系统便显得迫在眉睫。基于此，按照项目管理知识体系针对风险管理所提出的五大过程组:规划风险管理、识别风险、风险分析、风险应对、控制风险，与B公司债权融资计划系统建设实践相结合。在风险识别阶段，使用了包括德尔菲技术（专家调查法）、SWOT模型分析等在内的工具与方法识别出了软件过程风险、历史数据风险、管理风险。随后，通过风险数据质量评估、概率和影响矩阵，对三大类型风险进行定性分析，整理出中高风险点并进行优先级排序。最后，分别针对软件过程风险、历史数据风险、管理风险提出相应的规避策略。在风险监控阶段，通过风险应对策略监控、项目状态监控两个方面对该项目进行风险控制。 本文从金融企业业务软件项目建设风险管控实际出发，结合风险管理、软件工程等相关理论分析，对软件项目风险管理体系进行了较为系统的总结，初步建立了适用于国内金融企业的风险管控流程，对未来B公司软件项目建设提供了较大的参考价值，也为国内交易所以及金融企业业务软件项目建设提供了一定参考。
英文摘要：	As China's economy enters a new normal, competition in the financial area is becoming increasingly fierce. In accordance with relevant policies and regulations, the financial enterprises have continuously introduced innovative financial services. At the same time, the continuous application of financial technology has enabled more financial companies to join the trend of business onlineization. Because the characteristics of financial enterprises do not have the ability to build specialized software projects, this has led to various types of risk problems that are inevitable in the process of online business. In the process of software project construction, risk management occupies an important position in project management. Good risk management can bring strong boost to software projects, especially large-scale software projects. If an information system project ignores risk management, it lacks planning risk management, risk identification, risk response, risk monitoring and protection. In other aspects, the project is likely to have cost overruns, lags in progress, and decreased satisfaction. This thesis selects the construction of the B company's debt financing plan system as an example. Due to the complexity, process, and transaction amount of the debt financing plan business, the business operations under the manual line can no longer meet the business transaction volume that doubles every year, and it is difficult to meet the sub-modules of a certain business system. Its business needs, so the construction of a debt financing plan software system is imminent. Based on this, according to the five major process groups proposed by the project management knowledge system for risk management: planning risk management, identifying risks, risk analysis, risk response, and controlling risks, combined with B company debt financing plan system construction practice. In the risk identification stage, tools and methods including Delphi technology (expert survey method) and SWOT model analysis were used to identify software process risks, historical data risks, and management risks. Then, through the risk data quality assessment, probability and impact matrix, qualitative analysis of the three types of risks, sorting out the medium and high risk points and prioritizing. Finally, the corresponding evasive strategies are proposed for software process risk, historical data risk and management risk. In the risk monitoring phase, the project is risk-controlled through two aspects: risk response strategy monitoring and project status monitoring. This thesis starts from the reality of risk management and control of financial enterprise business software project construction, combined with risk management, software engineering and other relevant theoretical analysis, systematically summarizes the software project risk management system, and initially establishes a risk management and control process applicable to domestic financial enterprises. It provides a great reference value for the construction of B software projects in the future, and also provides a reference for the construction of domestic exchanges and financial enterprise business software projects.
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