何时使用来自其他项目的数据进行工作量估计

Proceedings of the 25th IEEE/ACM International Conference on Automated Software Engineering Pub Date : 2010-09-20 DOI:10.1145/1858996.1859061

Ekrem Kocaguneli, Gregory Gay, T. Menzies, Ye Yang, J. Keung

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引用次数: 59

摘要

在开发团队中收集质量预测所需的数据既耗时又昂贵。另一种方法是使用来自其他项目甚至其他公司的数据进行预测。我们表明，使用/不使用相关性过滤，导入数据的性能(分别)与使用本地数据相同/更差。因此，我们建议在使用来自另一个项目的数据生成估算时使用相关性过滤。

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When to use data from other projects for effort estimation

Collecting the data required for quality prediction within a development team is time-consuming and expensive. An alternative to make predictions using data that crosses from other projects or even other companies. We show that with/without relevancy filtering, imported data performs the same/worse (respectively) than using local data. Therefore, we recommend the use of relevancy filtering whenever generating estimates using data from another project.

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Proceedings of the 25th IEEE/ACM International Conference on Automated Software Engineering

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