Software fault proneness prediction: A comparative study between bagging, boosting, and stacking ensemble and base learner methods
Modules with defects might be the prime reason for decreasing the software quality and
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
[PDF][PDF] Software fault proneness prediction: a comparative study between bagging, boosting, and stacking ensemble and base learner methods
M Akour, I Alsmadi, I Alazzam - Int. J. Data Analysis Techniques …, 2017 - researchgate.net
Modules with defects might be the prime reason for decreasing the software quality and
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
Software fault proneness prediction: a comparative study between bagging, boosting, and stacking ensemble and base learner methods
M Akour, I Alsmadi, I Alazzam - International Journal of Data …, 2017 - econpapers.repec.org
Modules with defects might be the prime reason for decreasing the software quality and
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
Software fault proneness prediction: a comparative study between bagging, boosting, and stacking ensemble and base learner methods
M Akour, I Alsmadi, I Alazzam - International Journal, 2017 - inderscience.com
Modules with defects might be the prime reason for decreasing the software quality and
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
Software fault proneness prediction: a comparative study between bagging, boosting, and stacking ensemble and base learner methods
M Akour, I Alsmadi, I Alazzam - International Journal of Data …, 2017 - ideas.repec.org
Modules with defects might be the prime reason for decreasing the software quality and
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
[PDF][PDF] Software fault proneness prediction: a comparative study between bagging, boosting, and stacking ensemble and base learner methods
M Akour, I Alsmadi, I Alazzam - Int. J. Data Analysis Techniques …, 2017 - researchgate.net
Modules with defects might be the prime reason for decreasing the software quality and
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
Software fault proneness prediction: a comparative study between bagging, boosting, and stacking ensemble and base learner methods
M Akour, I Alsmadi, I Alazzam - inderscience.com
Modules with defects might be the prime reason for decreasing the software quality and
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …
increasing the cost of maintenance. Therefore, the prediction of faulty modules of systems …