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" dataset c...

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Autori principali:	Muhammad Romadhona Kusuma, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat 2023-11-01
Serie:	Inspiration
Soggetti:	software defects prediction feature selection smote hyperparameter tuning
Accesso online:	https://ojs.unitama.ac.id/index.php/inspiration/article/view/58
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