[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 …
An ensemble learning approach for software defect prediction in developing quality software product
Abstract Software Defect Prediction (SDP) is a major research field in the software
development life cycle. The accurate SDP would assist software developers and engineers …
development life cycle. The accurate SDP would assist software developers and engineers …
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 …
Survey on software defect prediction techniques
Recent advancements in technology have emerged the requirements of hardware and
software applications. Along with this technical growth, software industries also have faced …
software applications. Along with this technical growth, software industries also have faced …
A comparative study of iterative and non-iterative feature selection techniques for software defect prediction
TM Khoshgoftaar, K Gao, A Napolitano… - Information Systems …, 2014 - Springer
Two important problems which can affect the performance of classification models are high-
dimensionality (an overabundance of independent features in the dataset) and imbalanced …
dimensionality (an overabundance of independent features in the dataset) and imbalanced …
Software defect prediction via optimal trained convolutional neural network
S Balasubramaniam, SG Gollagi - Advances in Engineering Software, 2022 - Elsevier
By creating an effective prediction model, SDP helps to find the possible problems in recent
components of software earlier. The model's effectiveness was harmed by characteristics …
components of software earlier. The model's effectiveness was harmed by characteristics …
[PDF][PDF] Ensemble learning for software fault prediction problem with imbalanced data.
Fault prediction problem has a crucial role in the software development process because it
contributes to reducing defects and assisting the testing process towards fault-free software …
contributes to reducing defects and assisting the testing process towards fault-free software …
Software fault proneness prediction: A comparative study between bagging, boosting, and stacking ensemble and base learner methods
Modules with defects might be the prime reason for decreasing the software quality and
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
[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 …
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 …