Machine Learning Techniques to Predict Software Defect
The past 10 years have seen the prediction of software defects proposed by many
researchers using various metrics based on measurable aspects of source code entities (eg …
researchers using various metrics based on measurable aspects of source code entities (eg …
PEMANFAATAN RESAMPLING UNTUK PENANGANAN KETIDAKSEIMBANGAN KELAS PADA PREDIKSI CACAT SOFTWARE BERBASIS C5. 0
R Sabaruddin, S Murni… - Jurnal Teknologi …, 2023 - jurnal.univbinainsan.ac.id
Software yang tidak ditemukan cacat selama pemeriksaan dan pengujian merupakan
software berkualitas tinggi yang mampu membantu proses bisnis perusahaan secara efektif …
software berkualitas tinggi yang mampu membantu proses bisnis perusahaan secara efektif …
[PDF][PDF] Software Defect Prediction System Based on Well-Tuned Random Forest Technique
Q Saihood, FH Khorsheed, NJ Ibrahim - researchgate.net
Software quality is the main criterion for increasing user demand for software. Therefore,
software companies seek to ensure software quality by predicting software defects in the …
software companies seek to ensure software quality by predicting software defects in the …
Machine learning-based defect prediction model using multilayer perceptron algorithm for escalating the reliability of the software
When it comes to software development, precise planning, proper documentation and
proper process control, some errors are inevitable in the software environment. These …
proper process control, some errors are inevitable in the software environment. These …
Ensemble of software defect predictors: an AHP-based evaluation method
Classification algorithms that help to identify software defects or faults play a crucial role in
software risk management. Experimental results have shown that ensemble of classifiers are …
software risk management. Experimental results have shown that ensemble of classifiers are …
Software defect prediction using random forest algorithm
YN Soe, PI Santosa, R Hartanto - 2018 12th South East Asian …, 2018 - ieeexplore.ieee.org
The software defect can cause the unnecessary effects on the software such as cost and
quality. The prediction of the software defect can be useful for the development of good …
quality. The prediction of the software defect can be useful for the development of good …
[HTML][HTML] Seleksi fitur menggunakan Symmetrical Uncertainty pada prediksi cacat perangkat lunak
A Roihan - 2018 - etheses.uin-malang.ac.id
مستخلص البحث توصف عيوب البرمجيات أنها عيوب في البرمجيات كالعيوب الموجودة في الوثيقة
ورمز البرنامج والتخطيط وغيرها من الأشياء التي تؤدي إلى فشل البرمجيات. ومن الطرق التي يمكن …
ورمز البرنامج والتخطيط وغيرها من الأشياء التي تؤدي إلى فشل البرمجيات. ومن الطرق التي يمكن …
[HTML][HTML] Software defect prediction techniques using metrics based on neural network classifier
R Jayanthi, L Florence - Cluster Computing, 2019 - Springer
Software industries strive for software quality improvement by consistent bug prediction, bug
removal and prediction of fault-prone module. This area has attracted researchers due to its …
removal and prediction of fault-prone module. This area has attracted researchers due to its …
Optimized multi correlation-based feature selection in software defect prediction
MNM Rahman, RA Nugroho, MR Faisal… - TELKOMNIKA …, 2024 - telkomnika.uad.ac.id
In software defect prediction, noisy attributes and high-dimensional data remain to be a
critical challenge. This paper introduces a novel approach known as multi correlation-based …
critical challenge. This paper introduces a novel approach known as multi correlation-based …