The rapid evolvement of software development effort estimation models created the need for empirical evaluation of their quality. The empirical evaluation is based either on hypothesis tests with respect to a single criterion or on aggregating methods for multiple criteria. However, a model can be considered as a multidimensional entity performing differently on alternative datasets and its performance can be divergent when expressed by alternative criteria.

中文翻译：

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软件开发工作量估算中的数据驱动基准测试：少数定义了大部分

软件开发工作量估算模型的快速发展产生了对其质量进行经验评估的需求。经验评估基于关于单个标准的假设检验或基于多个标准的聚合方法。然而，一个模型可以被认为是一个多维实体，在替代数据集上表现不同，当用替代标准表示时，其性能可能会有所不同。