A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools
J Pachouly, S Ahirrao, K Kotecha… - … Applications of Artificial …, 2022 - Elsevier
Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …
from various teams in planning, execution, and testing. Many software products have high …
A survey on unbalanced classification: How can evolutionary computation help?
Unbalanced classification is an essential machine learning task, which has attracted
widespread attention from both the academic and industrial communities due mainly to its …
widespread attention from both the academic and industrial communities due mainly to its …
Diabetes prediction using supervised machine learning
ME Febrian, FX Ferdinan, GP Sendani… - Procedia Computer …, 2023 - Elsevier
Diabetes is a disease that can lead to blindness, kidney failure, and heart attacks, as well as
death. According to the International Diabetes Federation, there were 463 million diabetics …
death. According to the International Diabetes Federation, there were 463 million diabetics …
Deep neural network based hybrid approach for software defect prediction using software metrics
C Manjula, L Florence - Cluster Computing, 2019 - Springer
In the field of early prediction of software defects, various techniques have been developed
such as data mining techniques, machine learning techniques. Still early prediction of …
such as data mining techniques, machine learning techniques. Still early prediction of …
Proper estimation of surface roughness using hybrid intelligence based on artificial neural network and genetic algorithm
The surface roughness is a crucial index that is commonly used in the machining process to
evaluate the final product quality. This paper investigates the effect of different machining …
evaluate the final product quality. This paper investigates the effect of different machining …
Principal component based support vector machine (PC-SVM): a hybrid technique for software defect detection
M Mustaqeem, M Saqib - Cluster Computing, 2021 - Springer
Defects are the major problems in the current situation and predicting them is also a difficult
task. Researchers and scientists have developed many software defects prediction …
task. Researchers and scientists have developed many software defects prediction …
Improving ranking-oriented defect prediction using a cost-sensitive ranking SVM
Context: Ranking-oriented defect prediction (RODP) ranks software modules to allocate
limited testing resources to each module according to the predicted number of defects. Most …
limited testing resources to each module according to the predicted number of defects. Most …
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 …
Software defect prediction using neural network based SMOTE
Software defect prediction is a practical approach to improve the quality and efficiency of
time and costs for software testing by focusing on defect modules. The dataset of software …
time and costs for software testing by focusing on defect modules. The dataset of software …
Optimization of breast cancer classification using feature selection on neural network
J Jumanto, MF Mardiansyah, RN Pratama… - Journal of Soft …, 2022 - shmpublisher.com
Cancer is currently one of the leading causes of death worldwide. One of the most common
cancers, especially among women, is breast cancer. There is a major problem for cancer …
cancers, especially among women, is breast cancer. There is a major problem for cancer …