首页|Reports Outline Engineering Study Findings from University of Haripur (Smell-Aware Bug Classification)

Reports Outline Engineering Study Findings from University of Haripur (Smell-Aware Bug Classification)

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Researchers detail new data in engineering. According to news reporting originating from Haripur, Pakistan, by NewsRx correspondents, research stated, “Code smell indicates inadequacies in design and implementation choices.” The news reporters obtained a quote from the research from University of Haripur: “Code smells harm software maintainability including effects on components’ bug proneness and code quality has been demonstrated in previous studies. This study aims to investigate the importance of code smell metrics in prediction models for detecting bug-prone code modules. For improvement of the bug prediction model, in this study, smell-based metrics of code have been used. For the training of our model, we employed 14 different open-source projects from the PROMISE repository. Every project file consists of source code as well as smell code metrics and was written in Java. We examined different evaluation metrics such as F1_score, accuracy, precision, recall, the area under the receiver operating characteristic curve, and the area under the precision-recall curve of the five methods within the version, within the project, and across the projects.”

University of HaripurHaripurPakistanEngineering

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.9)
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