BAB VI KESIMPULAN DAN SARAN
6.2 Saran
1. Menggunakan algoritma machine learning yang lain dalam memprediksi cacat pada perangkat lunak. Lalu menggunakan aplikasi lain yang dijadikan sebagai prediksi cacat atau menggunakan software metric yang sesuai dengan karakteristik dari aplikasi yang diuji
2. Menggunakan teknik pengujian perangkat lunak yang lain atau AI-Based Software Testing untuk membandingkan hasilnya dengan cross-project defect prediction
3. Menggunakan dataset yang lain dan yang memiliki data yang sangat banyak atau large-scale untuk mendapatkan performa klasifikasi yang bagus, terutama untuk mendapatkan nilai precision dan recall yang tinggi.
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LAMPIRAN
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Lampiran 2- Jadwal Presentasi Di IWBIS 2018
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Lampiran 4- Dataset Ant-1.2
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Lampiran 5- Dataset Lucene-2.4
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Lampiran 6- Dataset Log4j-1.2
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