基于机器学习算法的软件项目风险群预测

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI:10.1109/UBMK52708.2021.9558957

Asım Kerem Hancı

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引用次数: 1

摘要

在我们的研究中，我们通过使用机器学习算法来预测软件项目的风险组。我们使用“开发源作为计数”、“软件开发生命周期模型”和“项目规模”参数进行了ID3和Naïve贝叶斯算法。我们通过实现holdout模型获得了不同的准确率。

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Risk Group Prediction of Software Projects Using Machine Learning Algorithm

In our study, we predicted software projects’ risk group by using machine learning algorithms. We conducted ID3 and Naïve Bayes algorithms using ‘development source as count’, ‘software development lifecycle model’ and ‘project size’ parameters. We obtained different accuracy ratios by implementing holdout model.

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2021 6th International Conference on Computer Science and Engineering (UBMK)

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