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arXiv 1703.04563cs.SE
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一种优化的基于类比的项目工作量估算方法

An Optimized Analogy-Based Project Effort Estimation

Mohammad Azzeh, Yousef Elsheikh, Marwan Alseid

摘要:

尽管基于类比的估计(ABE)在产生更好的努力估计的预测性能,有没有共识,如何预测最佳数量的类比,以及调整技术产生更好的估计。本文提出了一种新的调整ABE模型的基础上优化和近似复杂的特征之间的关系,并反映在最终估计的近似。结果表明,ABE的预测性能得到了明显的改善,并且每个测试项目的类比数都有显著的变化。

英文摘要:

Despite the predictive performance of Analogy-Based Estimation (ABE) in generating better effort estimates, there is no consensus on how to predict the best number of analogies, and which adjustment technique produces better estimates. This paper proposes a new adjusted ABE model based on optimizing and approximating complex relationships between features and reflects that approximation on the final estimate. The results show that the predictive performance of ABE has noticeably been improved, and the number of analogies was remarkably variable for each test project.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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