[PDF][PDF] Hybrid ensemble learning technique for software defect prediction
MZ Khan - International Journal of Modern Education & Computer …, 2020 - mecs-press.net
The reliability of software depends on its ability to function without error. Unfortunately, errors
can be generated during any phase of software development. In the field of software …
can be generated during any phase of software development. In the field of software …
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 …
[PDF][PDF] Improved random forest algorithm for software defect prediction through data mining techniques
SG Jacob - International Journal of Computer Applications, 2015 - Citeseer
Software defect prediction using classification algorithms was advocated by many
researchers. Moreover the classifier ensemble can effectively improve classification …
researchers. Moreover the classifier ensemble can effectively improve classification …
Enhancing software defect prediction using supervised-learning based framework
Software Defect Prediction (SDP) proposes to define the exposure of software to defect by
building prediction models through using defect data and the software metrics with several …
building prediction models through using defect data and the software metrics with several …
Prediction of defective software modules using class imbalance learning
Software defect predictors are useful to maintain the high quality of software products
effectively. The early prediction of defective software modules can help the software …
effectively. The early prediction of defective software modules can help the software …
Ensemble of software defect predictors: an AHP-based evaluation method
Classification algorithms that help to identify software defects or faults play a crucial role in
software risk management. Experimental results have shown that ensemble of classifiers are …
software risk management. Experimental results have shown that ensemble of classifiers are …
Effective software defect prediction using support vector machines (SVMs)
S Goyal - International Journal of System Assurance Engineering …, 2022 - Springer
Software defect prediction (SDP) plays a key role in the timely delivery of good quality
software product. In the early development phases, it predicts the error-prone modules …
software product. In the early development phases, it predicts the error-prone modules …
Software defect prediction techniques using metrics based on neural network classifier
R Jayanthi, L Florence - Cluster Computing, 2019 - Springer
Software industries strive for software quality improvement by consistent bug prediction, bug
removal and prediction of fault-prone module. This area has attracted researchers due to its …
removal and prediction of fault-prone module. This area has attracted researchers due to its …
[HTML][HTML] Software Defect Prediction Analysis Using Machine Learning Techniques
There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …
customer satisfaction and to save testing expenses. As a result, we examined various known …
Software defect prediction using supervised learning algorithm and unsupervised learning algorithm
A Chug, S Dhall - 2013 - IET
Software defect prediction has recently attracted attention of many software quality
researchers. One of the major areas in current project management software is to effectively …
researchers. One of the major areas in current project management software is to effectively …