[PDF][PDF] A Classification Framework for Software Defect Prediction Using Multi-filter Feature Selection Technique and MLP.
Production of high quality software at lower cost can be possible by detecting defect prone
software modules before the testing process. With this approach, less time and resources …
software modules before the testing process. With this approach, less time and resources …
[PDF][PDF] Performance analysis of machine learning techniques on software defect prediction using NASA datasets
Defect prediction at early stages of software development life cycle is a crucial activity of
quality assurance process and has been broadly studied in the last two decades. The early …
quality assurance process and has been broadly studied in the last two decades. The early …
A comparison framework of classification models for software defect prediction
Software defects are expensive in quality and cost. The accurate prediction of defect-prone
software modules can help direct test effort, reduce costs, and improve the quality of …
software modules can help direct test effort, reduce costs, and improve the quality of …
[PDF][PDF] Combining particle swarm optimization based feature selection and bagging technique for software defect prediction
The costs of finding and correcting software defects have been the most expensive activity in
software development. The accurate prediction of defect‐prone software modules can help …
software development. The accurate prediction of defect‐prone software modules can help …
[PDF][PDF] Software defect prediction using variant based ensemble learning and feature selection techniques
Testing is considered as one of the expensive activities in software development process.
Fixing the defects during testing process can increase the cost as well as the completion …
Fixing the defects during testing process can increase the cost as well as the completion …
[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 …
Genetic feature selection for software defect prediction
Recently, software defect prediction is an important research topic in the software
engineering field. The accurate prediction of defect prone software modules can help the …
engineering field. The accurate prediction of defect prone software modules can help the …
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 …
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 …