Comparative analysis of software fault prediction using various categories of classifiers
The quality of the software being developed varies with the size and complexity of the
software. It is a matter of concern in software development as it impairs the faith of customers …
software. It is a matter of concern in software development as it impairs the faith of customers …
Evaluating the impact of data transformation techniques on the performance and interpretability of software defect prediction models
Y Zhao, Z Huang, L Gong, Y Zhu, Q Yu, Y Gao - IET Software, 2023 - Wiley Online Library
The performance of software defect prediction (SDP) models determines the priority of test
resource allocation. Researchers also use interpretability techniques to gain empirical …
resource allocation. Researchers also use interpretability techniques to gain empirical …
Voting based ensemble classification for software defect prediction
RJ Jacob, RJ Kamat, NM Sahithya… - 2021 IEEE Mysore …, 2021 - ieeexplore.ieee.org
Fault Prediction procedures are meant to help focus on software testing and troubleshooting;
they can caution developers on programming segments that appear to be defective. Here, a …
they can caution developers on programming segments that appear to be defective. Here, a …
[HTML][HTML] Automatic software bug prediction using adaptive golden eagle optimizer with deep learning
In the software maintenance and development process, the software bug detection is an
essential problem because it related with the complete software successes. So, the earlier …
essential problem because it related with the complete software successes. So, the earlier …
Correlation-based modified long short-term memory network approach for software defect prediction
Developing software applications has become more perplexing nowadays due to the huge
usage of software applications. Under such circumstances, developing software without …
usage of software applications. Under such circumstances, developing software without …
[PDF][PDF] Abmj: An ensemble model for risk prediction in software requirements
MM Otoom - Ijcsns, 2022 - researchgate.net
Due to the rising complexity of software projects, it is quite difficult to predict the risk in
software requirements which is the most profound and essential activity in SDLC. It may lead …
software requirements which is the most profound and essential activity in SDLC. It may lead …
Prediction and Correction of Software Defects in Message-Passing Interfaces Using a Static Analysis Tool and Machine Learning
The Software Defect Prediction (SDP) method forecasts the occurrence of defects at the
beginning of the software development process. Early fault detection will decrease the …
beginning of the software development process. Early fault detection will decrease the …
[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 …
[PDF][PDF] Peningkatan Kinerja Prediksi Cacat Software dengan Hyperparameter Tuning pada Algoritma Klasifikasi Deep Forest
PENINGKATAN KINERJA PREDIKSI CACAT SOFTWARE DENGAN HYPERPARAMETER
TUNING PADA ALGORITMA KLASIFIKASI DEEP FOREST Page 1 Jurnal MNEMONIC Vol 5 …
TUNING PADA ALGORITMA KLASIFIKASI DEEP FOREST Page 1 Jurnal MNEMONIC Vol 5 …
[PDF][PDF] Comparing the accuracy and developed models for predicting the confrontation naming of the elderly in South Korea using weighted random forest, random …
H Byeon - International Journal of Advanced Computer Science …, 2021 - researchgate.net
Since dementia patients clearly show the retrogression of linguistic ability from the early
stage, evaluating cognitive and language abilities is very important when diagnosing …
stage, evaluating cognitive and language abilities is very important when diagnosing …