Machine learning empowered software defect prediction system
Production of high-quality software at lower cost has always been the main concern of
developers. However, due to exponential increases in size and complexity, the development …
developers. However, due to exponential increases in size and complexity, the development …
Sentiment analysis of the pedulilindungi on google play using the random forest algorithm with smote
At the end of 2019, the world was hit by the COVID-19 virus, which caused a pandemic.
Indonesia has become one of the countries that are affected by this pandemic. To control the …
Indonesia has become one of the countries that are affected by this pandemic. To control the …
Cloud-based bug tracking software defects analysis using deep learning
Cloud technology is not immune to bugs and issue tracking. A dedicated system is required
that will extremely error prone and less cumbersome and must command a high degree of …
that will extremely error prone and less cumbersome and must command a high degree of …
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] Software defect prediction using supervised machine learning techniques: A systematic literature review
Software defect prediction (SDP) is the process of detecting defectprone software modules
before the testing stage. The testing stage in the software development life cycle is …
before the testing stage. The testing stage in the software development life cycle is …
[PDF][PDF] Data and Ensemble Machine Learning Fusion Based Intelligent Software Defect Prediction System.
The software engineering field has long focused on creating highquality software despite
limited resources. Detecting defects before the testing stage of software development can …
limited resources. Detecting defects before the testing stage of software development can …
[PDF][PDF] Machine learning-based models for magnetic resonance imaging (mri)-based brain tumor classification
In the medical profession, recent technological advancements play an essential role in the
early detection and categorization of many diseases that cause mortality. The technique …
early detection and categorization of many diseases that cause mortality. The technique …
Implementation of LSSVM in classification of software defect prediction data with feature selection
TF Husin, MR Pribadi - 2022 9th International Conference on …, 2022 - ieeexplore.ieee.org
Software defect prediction enhances the quality, efficiency, and effectiveness of time and
expenses for software testing by focusing on defect modules. Software defect prediction …
expenses for software testing by focusing on defect modules. Software defect prediction …
A decision analysis approach for selecting software defect prediction method in the early phases
R Özakıncı, A Kolukısa Tarhan - Software Quality Journal, 2023 - Springer
One of the most important quality indicators of a software product is its defect rates. In this
regard and also with the proliferation in methods and tools supporting prediction in software …
regard and also with the proliferation in methods and tools supporting prediction in software …