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Performance Evaluation of General and Company Specific Models in Software Development Effort Estimation

机译:通用模型和公司特定模型在软件开发工作量估计中的性能评估

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摘要

In this paper we present the results of our effort estimation analysis of a European Space Agency database consisting of 108 software development projects. We develop and evaluate simple empirical effort estimation models that include only those productivity factors found to be significant for these projects and determine if models based on a multicompany database can be successfully used to make effort estimations within a specific company. this was accomplished by developing company specific effort estimation models based on the significant productivity factors of a particular company and by comparing the results with those from general ESA models on a holdout sample of the company. To our knowledge, no other published research has yet developed and analysed software development effort estimation models in this way. Effort predictions made on a holdout sample of the individual company's projects using general models were less accurate than the company specific model. However, it is likely that in the absence of enough resources and data for a company to develop its own model, the application of general models may be more accurate than the use of guessing and intuition.
机译:在本文中,我们介绍了对由108个软件开发项目组成的欧洲航天局数据库进行的工作量估算分析的结果。我们开发和评估简单的经验工作量估算模型,该模型仅包括那些对这些项目很重要的生产率因素,并确定基于多公司数据库的模型是否可以成功地用于特定公司内的工作量估算。这是通过根据特定公司的重要生产力因素开发公司特定的工作量估计模型并将结果与​​公司保留样本中的一般ESA模型的结果进行比较来实现的。据我们所知,尚无其他已发表的研究以这种方式开发和分析软件开发工作量估算模型。使用通用模型对单个公司项目的保留样本进行的工作量预测不如公司特定模型准确。但是,很可能在没有足够的资源和数据来使公司开发自己的模型的情况下,通用模型的应用可能比使用猜测和直觉更为准确。

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