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 …
Empirical investigation of hyperparameter optimization for software defect count prediction
M Nevendra, P Singh - Expert Systems with Applications, 2022 - Elsevier
Prior identification of defects in software modules can help testers to allocate limited
resources efficiently. Defect prediction techniques are helpful for this situation because they …
resources efficiently. Defect prediction techniques are helpful for this situation because they …
Iterated feature selection algorithms with layered recurrent neural network for software fault prediction
Software fault prediction (SFP) is typically used to predict faults in software components.
Machine learning techniques (eg, classification) are widely used to tackle this problem. With …
Machine learning techniques (eg, classification) are widely used to tackle this problem. With …
A three-stage based ensemble learning for improved software fault prediction: an empirical comparative study
Abstract Software Fault Prediction (SFP) research has made enormous endeavor to
accurately predict fault proneness of software modules, thus maximize precious software test …
accurately predict fault proneness of software modules, thus maximize precious software test …
Software fault prediction using lion optimization algorithm
S Goyal, PK Bhatia - International Journal of Information Technology, 2021 - Springer
Software fault prediction (SFP) refers to the early prediction of fault-prone modules in
software development which are susceptible to faults and incur high development cost. It is …
software development which are susceptible to faults and incur high development cost. It is …
Software defect prediction using stacked denoising autoencoders and two-stage ensemble learning
H Tong, B Liu, S Wang - Information and Software Technology, 2018 - Elsevier
Context Software defect prediction (SDP) plays an important role in allocating testing
resources reasonably, reducing testing costs, and ensuring software quality. However …
resources reasonably, reducing testing costs, and ensuring software quality. However …
The impact of feature selection techniques on effort‐aware defect prediction: An empirical study
Abstract Effort‐Aware Defect Prediction (EADP) methods sort software modules based on
the defect density and guide the testing team to inspect the modules with high defect density …
the defect density and guide the testing team to inspect the modules with high defect density …
Software defect prediction using a bidirectional LSTM network combined with oversampling techniques
NAA Khleel, K Nehéz - Cluster Computing, 2024 - Springer
Software defects are a critical issue in software development that can lead to system failures
and cause significant financial losses. Predicting software defects is a vital aspect of …
and cause significant financial losses. Predicting software defects is a vital aspect of …
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 …
Handling class-imbalance with KNN (neighbourhood) under-sampling for software defect prediction
S Goyal - Artificial Intelligence Review, 2022 - Springer
Abstract Software Defect Prediction (SDP) is highly crucial task in software development
process to forecast about which modules are more prone to errors and faults before the …
process to forecast about which modules are more prone to errors and faults before the …