Software defect prediction using neural network based smote

RB Bahaweres, F Agustian, I Hermadi… - 2020 7th …, 2020 - ieeexplore.ieee.org
Software defect prediction is a practical approach to improve the quality and efficiency of
time and costs for software testing by focusing on defect modules. The dataset of software …
被引用次数：25 相关文章
[PDF] researchgate.net

[PDF][PDF] Software Defect Prediction Using Neural Network Based SMOTE

RB Bahaweres, F Agustian, I Hermadi, AI Suroso… - Proc …, 2020 - researchgate.net
Software defect prediction is a practical approach to improve the quality and efficiency of
time and costs for software testing by focusing on defect modules. The dataset of software …
[PDF] academia.edu

[PDF][PDF] Software Defect Prediction Using Neural Network Based SMOTE

RB Bahaweres, F Agustian, I Hermadi, AI Suroso… - Proc. EECSI, 2020 - academia.edu
Software defect prediction is a practical approach to improve the quality and efficiency of
time and costs for software testing by focusing on defect modules. The dataset of software …
[PDF] core.ac.uk

[PDF][PDF] Software Defect Prediction Using Neural Network Based SMOTE

RB Bahaweres, F Agustian, I Hermadi, AI Suroso… - Proc. EECSI, 2020 - core.ac.uk
Software defect prediction is a practical approach to improve the quality and efficiency of
time and costs for software testing by focusing on defect modules. The dataset of software …

Software Defect Prediction Using Neural Network Based SMOTE

RBUIN Bahaweres, FUIN Agustian… - Proceeding of the …, 2020 - garuda.kemdikbud.go.id
Software defect prediction is a practical approach to improve the quality and efficiency of
time and costs for software testing by focusing on defect modules. The defect prediction …
[PDF] academia.edu

[PDF][PDF] Software Defect Prediction Using Neural Network Based SMOTE

RB Bahaweres, F Agustian, I Hermadi, AI Suroso… - Proc. EECSI, 2020 - academia.edu
Software defect prediction is a practical approach to improve the quality and efficiency of
time and costs for software testing by focusing on defect modules. The dataset of software …