Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking

Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking

This research aims to improve the software quality and effectiveness of zakat management by the National Amil Zakat Agency (BAZNAS) through the development of a software defect prediction model (SDPM). We used machine learning techniques and ensemble stacking approach on the "Masjid Tower"...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Muhammad Romadhona Kusuma, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat 2023-11-01
Sarja:Inspiration
Aiheet:
software defects
prediction
feature selection
smote
hyperparameter tuning
Linkit:https://ojs.unitama.ac.id/index.php/inspiration/article/view/58

Internet

https://ojs.unitama.ac.id/index.php/inspiration/article/view/58

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