研究禁忌搜索在网络工作量估算中的应用

2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications Pub Date : 2010-09-01 DOI:10.1109/SEAA.2010.59

F. Ferrucci, C. Gravino, R. Oliveto, Federica Sarro, E. Mendes

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引用次数: 28

摘要

禁忌搜索是一种元启发式方法，成功地用于解决几种情况下的优化问题。本文报告了一项实证研究的结果，该研究旨在调查禁忌搜索在估计Web应用程序开发工作量方面的有效性。本调查使用的数据集是Tukutuku数据库的一部分。该数据库已在若干研究中用于评估各种工作量估计技术的有效性，例如线性回归和基于案例的推理。我们的结果是令人鼓舞的，因为禁忌搜索优于所有其他与之比较的估计技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Investigating Tabu Search for Web Effort Estimation

Tabu Search is a meta-heuristic approach successfully used to address optimization problems in several contexts. This paper reports the results of an empirical study carried out to investigate the effectiveness of Tabu Search in estimating Web application development effort. The dataset employed in this investigation is part of the Tukutuku database. This database has been used in several studies to assess the effectiveness of various effort estimation techniques, such as Linear Regression and Case-Based Reasoning. Our results are encouraging given that Tabu Search outperformed all the other estimation techniques against which it has been compared.

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2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications

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