Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem
Software quality engineering comprises of several quality assurance activities such as
testing, formal verification, inspection, fault tolerance, and software fault prediction. Until …
testing, formal verification, inspection, fault tolerance, and software fault prediction. Until …
[PDF][PDF] A feature selection based ensemble classification framework for software defect prediction
Software defect prediction is one of the emerging research areas of software engineering.
The prediction of defects at early stage of development process can produce high quality …
The prediction of defects at early stage of development process can produce high quality …
Tackling feature selection problems with genetic algorithms in software defect prediction for optimization
RB Bahaweres, AI Suroso, AW Hutomo… - 2020 International …, 2020 - ieeexplore.ieee.org
Software defect prediction is a way to improve quality by finding and tracking defective
modules in the software which helps reduce costs during the software testing process. The …
modules in the software which helps reduce costs during the software testing process. The …
A cluster-based hybrid feature selection method for defect prediction
F Wang, J Ai, Z Zou - 2019 IEEE 19th International Conference …, 2019 - ieeexplore.ieee.org
Machine learning is an effective method for software defect prediction. The performance of
learning models can be affected by irrelative and redundant features. Feature selection …
learning models can be affected by irrelative and redundant features. Feature selection …
Hybrid SMOTE-ensemble approach for software defect prediction
Software defect prediction is the process of identifying new defects/bugs in software
modules. Software defect presents an error in a computer program, which is caused by …
modules. Software defect presents an error in a computer program, which is caused by …
A study on software defect prediction using feature extraction techniques
R Malhotra, K Khan - 2020 8th International Conference on …, 2020 - ieeexplore.ieee.org
Identification and elimination of defects in software is time and resource-consuming activity.
The maintenance of a defective software system is burdensome. Software defect prediction …
The maintenance of a defective software system is burdensome. Software defect prediction …
Benchmarking classification models for software defect prediction: A proposed framework and novel findings
Software defect prediction strives to improve software quality and testing efficiency by
constructing predictive classification models from code attributes to enable a timely …
constructing predictive classification models from code attributes to enable a timely …
Performance analysis of selected clustering techniques for software defects prediction
Classification algorithms that help to predict software defects play a major role in the
software engineering process. This study investigated the application and performance of …
software engineering process. This study investigated the application and performance of …
Software defect prediction using ensemble learning on selected features
Context Several issues hinder software defect data including redundancy, correlation,
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …
Software defect prediction based on ensemble learning
R Li, L Zhou, S Zhang, H Liu, X Huang… - Proceedings of the 2019 …, 2019 - dl.acm.org
Software defect prediction is one of the important ways to guarantee the quality of software
systems. Combining various algorithms in machine learning to predict software defects has …
systems. Combining various algorithms in machine learning to predict software defects has …