2022 10th International Conference on Smart Grid (icSmartGrid), 2022, p.306-308
2022
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Details
- Autor(en) / Beteiligte
- Titel
- New Dataset for Software Defect Prediction Model
- Ist Teil von
- 2022 10th International Conference on Smart Grid (icSmartGrid), 2022, p.306-308
- Ort / Verlag
- IEEE
- Erscheinungsjahr
- 2022
- Quelle
- IEEE Electronic Library Online
- Beschreibungen/Notizen
- Software defect prediction is one of the critical fields that is related to software quality. The accuracy of prediction models relies on how the features are related to class value. However, this field has limitations of the lack of robust dataset in previous studies. Therefore, this research paper aims to develop new dataset to fill the gap of research area. So, we train the J48, NB, and MLP algorithms on our new dataset, JM1and KC1. The results indicated that our proposed new dataset performed better in terms of accuracy, recall, and precision.
- Sprache
- Englisch
- Identifikatoren
- DOI: 10.1109/icSmartGrid55722.2022.9848620Titel-ID: cdi_ieee_primary_9848620
- Format
- –
- Schlagworte
- Machine Learning, metrics, Prediction algorithms, Predictive models, Smart grids, Software algorithms, Software Defect, Software quality