[PDF][PDF] A Classification Framework for Software Defect Prediction Using Multi-filter Feature Selection Technique and MLP.
Production of high quality software at lower cost can be possible by detecting defect prone
software modules before the testing process. With this approach, less time and resources …
software modules before the testing process. With this approach, less time and resources …
[PDF][PDF] Software defect prediction using variant based ensemble learning and feature selection techniques.
Testing is considered as one of the expensive activities in software development process.
Fixing the defects during testing process can increase the cost as well as the completion …
Fixing the defects during testing process can increase the cost as well as the completion …
Performance assessment of classification algorithms on early detection of liver syndrome
In the recent era, a liver syndrome that causes any damage in life capacity is exceptionally
normal everywhere throughout the world. It has been found that liver disease is exposed …
normal everywhere throughout the world. It has been found that liver disease is exposed …
Investigating tree family machine learning techniques for a predictive system to unveil software defects
Software defects prediction at the initial period of the software development life cycle
remains a critical and important assignment. Defect prediction and correctness leads to the …
remains a critical and important assignment. Defect prediction and correctness leads to the …
Software defects prediction using machine learning algorithms
Software development and the maintenance life cycle are lengthy processes. However, the
possibility of having defects in the software can be high. Software reliability and performance …
possibility of having defects in the software can be high. Software reliability and performance …
[PDF][PDF] Prediction of defect prone software modules using MLP based ensemble techniques
Prediction of defect prone software modules is now considered as an important activity of
software quality assurance. This approach uses the software metrics to predict whether the …
software quality assurance. This approach uses the software metrics to predict whether the …
[PDF][PDF] Evaluation of machine learning classification techniques in predicting software defects
OE Olorunshola, ME Irhebhude… - Trans. Mach. Learn …, 2020 - academia.edu
The advances in technology has brought about a significant rise in the number of software
being developed and deployed on daily basis. This has brought about more dependencies …
being developed and deployed on daily basis. This has brought about more dependencies …
Integrasi Pendekatan Level Data Pada Logistic Regression untuk Prediksi Cacat Perangkat Lunak
DP Rini - JIKO (Jurnal Informatika dan Komputer), 2020 - ejournal.unkhair.ac.id
Prediksi awal modul cacat perangkat lunak dapat membantu pengembang perangkat lunak
untuk mengalokasikan sumber daya yang tersedia dalam membuat produk perangkat lunak …
untuk mengalokasikan sumber daya yang tersedia dalam membuat produk perangkat lunak …
Perbandingan kinerja AUC dan G-Means pada machine learning berbasis seleksi fitur algoritma genetika untuk prediksi cacat perangkat lunak
AW Hutomo - 2020 - repository.uinjkt.ac.id
Prediksi cacat perangkat lunak adalah cara untuk meningkatkan kualitas dengan
menemukan dan melacak modul yang rusak dalam perangkat lunak dengan pendekatan …
menemukan dan melacak modul yang rusak dalam perangkat lunak dengan pendekatan …
[PDF][PDF] Research Article Investigating Tree Family Machine Learning Techniques for a Predictive System to Unveil Software Defects
Software defects prediction at the initial period of the software development life cycle
remains a critical and important assignment. Defect prediction and correctness leads to the …
remains a critical and important assignment. Defect prediction and correctness leads to the …