Investigating Tabu Search for Web Effort Estimation
Investigating Tabu Search for Web Effort Estimation
复制标题
调查 Web 工作量估计的禁忌搜索
DOI：
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复制
发表时间：
2010
期刊：
影响因子：
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通讯作者：
E. Mendes
中科院分区：
文献类型：
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作者：
F. Ferrucci;C. Gravino;Rocco Oliveto;Federica Sarro;E. Mendes
禁忌搜索是一种元启发式方法，成功地用于解决优化问题在几个上下文中。本文报告了一项实证研究的结果进行调查的有效性禁忌搜索估计Web应用程序的开发工作。本调查中使用的数据集是Tukutuku数据库的一部分。该数据库已被用于几项研究，以评估各种努力估计技术的有效性，如线性回归和基于案例的推理。我们的研究结果是令人鼓舞的，因为禁忌搜索优于所有其他的估计技术，它已被比较。
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.