伊朗软件项目的项目风险管理

A. Reza, V. Brtka, Melita Ćoćkalo-Hronjec
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引用次数: 2

摘要

在几乎所有的软件项目中,许多软件开发组织都遭受着成本超支、进度延迟和项目不能满足最初指定功能的长期问题。这项研究首先回顾了现有的风险管理模型。此后,对伊朗的软件项目经理进行了一项调查,以收集有关风险评估实践的经验数据。30位软件项目经理参与并接受了采访。使用结构化问卷来获取信息。本研究的观察表明,在伊朗,风险评估的实践很差,许多项目尚未进行系统的风险评估。这是因为83%的软件项目经理隐含地评估风险,同样比例的(83%)使用非结构化的方法,糟糕的风险识别和分析技术。它还表明风险没有被记录,经验没有被正确利用。这导致了不断出现的问题。得出的结论表明,伊朗的软件项目经理需要开始使用适当的方法评估风险。对现有模型的回顾表明,这些模型是复杂的,可能无助于解决现有的缺点。本研究提出了一个风险评估框架,它可以帮助管理人员简单地开始评估,记录主要风险,使用基于频繁发生的风险的项目风险发生可能性的客观方法和不适用客观方法的主观方法来估计风险。它还支持使用预先安排的风险评估矩阵的定性风险评估技术,并由收集和存储风险数据以进行分析和改进的工具支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Project risk management in Iranian software projects
Many Software development organizations suffer chronic problems of cost overruns, schedule slips and projects that do not meet the originally specified functions in almost all software projects. This study commenced by reviewing existing risk management models. Thereafter, a survey which involved software project managers in Iran was conducted to gather empirical data about the practice of risk assessment. Thirty Software Project managers participated and were interviewed. Structured questionnaires were used to capture information. Observation made from this study show that in Iran, risk assessment is poorly practiced and many projects do not yet practice systematic risk assessment. This is because 83% of software project managers implicitly assess risks and the same percentage (83%) use unstructured approaches, poor risk identification and analysis techniques. It additionally shows that risks are not documented and experiences not properly utilized. This has led to ever recurring problems. The conclusion drawn indicates that Iran’s software project managers need to start assessing risks using proper approaches. Review of existing models showed that these models are complex and may not help address existing shortcomings. This study proposes a risk assessment framework, which helps managers to simply start assessing, documenting major risks, estimating risks using an objective approach that is based on frequently occurring risks to project likelihood of a risk occurring and subjective approach where objective approach is not applicable. It also supports qualitative risk estimation technique using prearranged risk estimation matrices and is supported by a tool which collects and stores risk data for analysis and improvement purposes.
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