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首页> 外文期刊>Journal of Optimization in Industrial Engineering >Developing a Risk Management Model for Banking Software Development Projects Based on Fuzzy Inference System
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Developing a Risk Management Model for Banking Software Development Projects Based on Fuzzy Inference System

机译：基于模糊推理系统开发银行软件开发项目的风险管理模式

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Risk management is one of the most influential parts of project management that has a major impact on the success or failure of projects. Due to the increasing use of information technology (IT) systems in all fields and the high failure rate of IT projects in software development and production, it is essential to effectively manage these projects is essential. Therefore, this study is aimed to design a risk management model that seeks to manage the risk of software development projects based on the key criteria of project time, cost, quality and scope. This is presented after making an extensive review of the literature and asking questions from experts in the field. In this regard, after identifying the risks and defining them based on the dimensions and indicators of software development projects, 22 features were identified to evaluate banking software projects. The data were collected for three consecutive years in the country's largest software development eco-system. According to Rough modelling, the most important variables affecting the cost, time, quality and scope of projects were identified and the amount of risk that a project may have in each of these dimensions was shown. Since traditional scales cannot provide the accurate estimation of project risk assessment under uncertainty, the indexes were fuzzy. Finally, the fuzzy expert system was designed by MATLAB software that showed the total risk of each project. To create a graphical user interface, the MATLAB software GUIDE was used. The system can predict the risks of each project before each project begins and helps project managers be prepared to deal with these risks and consider ways to prevent the project from failing. The results showed that quality and time risks were more important than cost and scope risks and had a greater impact on total project deviation.
机译：风险管理是项目管理最有影响力的部分之一，对项目的成功或失败产生重大影响。由于在所有领域的信息技术（IT）系统的使用增加和IT项目中的高故障率和软件开发和生产中，必须有效地管理这些项目至关重要。因此，本研究旨在设计一种风险管理模型，可根据项目时间，成本，质量和范围的关键标准寻求管理软件开发项目的风险。这是在对文献进行广泛审查后提出的，并从现场专家提出问题。在这方面，在识别出风险并根据软件开发项目的尺寸和指标确定它们之后，确定了22个功能来评估银行软件项目。该数据在该国最大的软件开发生态系统中连续三年收集。根据粗略建模，确定了影响项目成本，时间，质量和范围的最重要的变量以及项目可能在这些维度中的每个尺寸中的风险量。由于传统规模无法在不确定性下提供对项目风险评估的准确估计，因此指数是模糊的。最后，模糊专家系统由Matlab软件设计，显示每个项目的总风险。要创建图形用户界面，使用MATLAB软件指南。系统可以预测每个项目开始之前每个项目的风险，并帮助项目经理准备处理这些风险，并考虑防止项目失败的方法。结果表明，质量和时间风险比成本和范围风险更重要，并且对总项目偏差产生了更大的影响。

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