KOMPARASI MODEL CROSS-PROJECT DEFECT PREDICTION PADA APLIKASI BERBASIS JAVA

KOMPARASI MODEL CROSS-PROJECT DEFECT PREDICTION PADA APLIKASI BERBASIS JAVA

• By Panggalih, Kukuh;
• Tesis
• 137

Cross-Defect Prediction adalah metode untuk memprediksi lokasi bug pada aplikasi berbasis Java dengan menggunakan data dari proyek lain yang mirip. Namun, masalah yang sering dihadapi dalam metode ini adalah kurangnya data negatif yaitu, lokasi yang benar-benar bebas dari bug yang membuat data menjadi tidak seimbang. Dalam tesis ini, membandingkan kinerja dari beberapa model Cross[1]Defect Prediction yang dioptimalkan untuk mengatasi masalah data yang tidak seimbang dengan menggunakan teknik resampling dan esemble method. Data yang digunakan untuk training menggunakan data publik, sementara data yang digunakan untuk testing menggunakan data privat pada CK OO Metric. Hasil menunjukkan bahwa dengan menggunakan teknik ini, dapat meningkatkan kinerja model dalam mengidentifikasi lokasi bug secara akurat. Selain itu juga menunjukkan bahwa dengan menggunakan esemble method, dapat meningkatkan kinerja model secara signifikan. Hasil menunjukkan bahwa metode yang dioptimalkan untuk mengatasi masalah data yang tidak seimbang dapat meningkatkan kinerja model Cross-Defect Prediction pada aplikasi berbasis Java.

• Katakunci Java, Software, Defect Prediction
• URL http://
• Penerbit ,

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