Software defect prediction using ensemble learning: an ANP based evaluation method
AO Balogun, AO Bajeh, VA Orie, WA Yusuf-Asaju - 2018 - uilspace.unilorin.edu.ng
Software defect prediction (SDP) is the process of predicting defects in software modules, it
identifies the modules that are defective and require extensive testing. Classification …
identifies the modules that are defective and require extensive testing. Classification …
A software defect prediction method using binary gray wolf optimizer and machine learning algorithms
Context Software defect prediction means finding defect-prone modules before the testing
process which will reduce testing cost and time. Machine learning methods can provide …
process which will reduce testing cost and time. Machine learning methods can provide …
[引用][C] A novel ensemble feature selection and software defect detection model on promise defect datasets
E Sreedevi, Y Prasanth - Int J Recent Technol Eng, 2018
A Study of Filter-Based Feature Selection in Software Fault Prediction
Software fault prediction (SFP) assists developers in diagnosing the potential defects in the
early stage. In SFP, software metrics have strong influence on the performance of a …
early stage. In SFP, software metrics have strong influence on the performance of a …
Software defect prediction using an intelligent ensemble-based model
M Ali, T Mazhar, Y Arif, S Al-Otaibi, YY Ghadi… - IEEE …, 2024 - ieeexplore.ieee.org
Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …
cost savings in testing. Its primary objective is to identify and send only defective modules to …
Improved prediction of software defects using ensemble machine learning techniques
S Mehta, KS Patnaik - Neural Computing and Applications, 2021 - Springer
Software testing process is a crucial part in software development. Generally the errors
made by developers get fixed at a later stage of the software development process. This …
made by developers get fixed at a later stage of the software development process. This …
ELM and KELM based software defect prediction using feature selection techniques
I Arora, A Saha - Journal of Information and Optimization Sciences, 2019 - Taylor & Francis
Context: Software defect prediction (SDP) models help in delivering a dependable and a
genuine product to the clients. However, the performance of these models is affected by the …
genuine product to the clients. However, the performance of these models is affected by the …
Software defect prediction using global and local models
There are certain crucial areas that require attention in the field of software defect prediction,
even after extensive research. One of these issues that need attention is data heterogeneity …
even after extensive research. One of these issues that need attention is data heterogeneity …
Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network
K Zhu, S Ying, N Zhang, D Zhu - Journal of Systems and Software, 2021 - Elsevier
Software defect prediction aims to identify the potential defects of new software modules in
advance by constructing an effective prediction model. However, the model performance is …
advance by constructing an effective prediction model. However, the model performance is …
An optimized feature selection method using ensemble classifiers in software defect prediction for healthcare systems
The healthcare systems are extensively being used with increased focus on safety of
patients. Software engineering for healthcare applications is an emerging research area …
patients. Software engineering for healthcare applications is an emerging research area …