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Factors affecting duration and effort estimation errors in software development projects

机译:影响软件开发项目中的工期和工作量估计错误的因素

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The purpose of this research was to fill a gap in the literature pertaining to the influence of project uncertainty and managerial factors on duration and effort estimation errors. Four dimensions were considered: project uncertainty, use of estimation development processes, use of estimation management processes, and the estimator's experience. Correlation analysis and linear regression models were used to test the model and the hypotheses on the relations between the four dimensions and estimation errors, using a sample of 43 internal software development projects executed during the year 2002 in the IT division of a large government organization in Israel. Our findings indicate that, in general, a high level of uncertainty is associated with higher effort estimation errors while increased use of estimation development processes and estimation management processes, as well as greater estimator experience, are correlated with lower duration estimation errors. From a practical perspective, the specific findings of this study can be used as guidelines for better duration and effort estimation. Accounting for project uncertainty while managing expectations regarding estimate accuracy; investing more in detailed planning and selecting estimators based on the number of projects they have managed rather than their cumulative experience in project management, may reduce estimation errors.
机译:这项研究的目的是填补文献中有关项目不确定性和管理因素对工期和工作量估计误差的影响的空白。考虑了四个方面:项目不确定性,估计开发过程的使用,估计管理过程的使用以及估计者的经验。使用相关分析和线性回归模型来检验模型和四个维度与估计误差之间关系的假设,该样本使用了2002年在一家大型政府组织的IT部门执行的43个内部软件开发项目的样本。以色列。我们的发现表明,总的来说,较高的不确定性与较高的工作量估算误差有关,而对估算开发过程和估算管理过程的更多使用以及较高的估算师经验与较低的持续时间估算误差相关。从实践的角度来看,本研究的具体发现可以用作指导,以更好地进行持续时间和精力估算。考虑项目不确定性,同时管理对估计准确性的期望;根据他们管理的项目数量而不是他们在项目管理中积累的经验,在详细的计划上进行更多的投资并选择估算器,可以减少估算误差。

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