[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 …
[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 …
[PDF][PDF] A Framework for Software Defect Prediction Using Feature Selection and Ensemble Learning Techniques.
Testing is one of the crucial activities of software development life cycle which ensures the
delivery of high quality product. As software testing consumes significant amount of …
delivery of high quality product. As software testing consumes significant amount of …
[PDF][PDF] Performance analysis of resampling techniques on class imbalance issue in software defect prediction
Predicting the defects at early stage of software development life cycle can improve the
quality of end product at lower cost. Machine learning techniques have been proved to be …
quality of end product at lower cost. Machine learning techniques have been proved to be …
[PDF][PDF] A classification framework to detect DoS attacks
The exponent increase in the use of online information systems triggered the demand of
secure networks so that any intrusion can be detected and aborted. Intrusion detection is …
secure networks so that any intrusion can be detected and aborted. Intrusion detection is …