Identification of Risk Factors in the Software Design Stage Using the C4.5 Algorithm
M. Akiyasul Azkiya,
Deva Sindi Maulita,
Jumanto
Abstract:A strong design phase is necessary for good software. However, design errors in software can cause serious issues with its creation and use. Therefore, the goal of this study is to find risk variables that could have an early impact on software development. In this study, a machine learning technique called technique C4.5 is employed to create decision tree models. 100 respondents with software design experience participated in the online surveys and questionnaires that collected the data for this study in 202… Show more
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