In this paper, we build a Support Vector Machine (SVM) model to find the relation-ship between object-oriented metrics given by Chidamber and Kemerer and fault ...
In this work, the performance of machine- learning method SVM is evaluated for predicting the faulty classes. We investigate the accuracy of the fault proneness.
In this work, the performance of machine- learning method SVM is evaluated for predicting the faulty classes. We investigate the accuracy of the fault proneness.
Oct 22, 2024 · In this paper, we build a Support Vector Machine (SVM) model to find the relation-ship between object-oriented metrics given by Chidamber and ...
Dec 31, 2008 · In this paper, we build a Support Vector Machine (SVM) model to find the relation-ship between object-oriented metrics given by Chidamber and ...
This study confirms that construction of the SVM models is feasible, adaptable to OO systems, and useful in predicting fault prone classes. While research ...
This paper evaluates the capability of SVM in predicting defect-prone software modules and compares its prediction performance against eight statistical and ...
Oct 22, 2024 · This paper evaluates the capability of SVM in predicting defect-prone software modules and compares its prediction performance against eight ...
We propose the use of Multi-class Support Vector Machine (McSVM) to classify the input set of parameters into one of the several classes to predict the number ...
People also ask
What are the applications of support vector machine classifier?
When would you use a support vector machine?
What is support vector machine prediction classification?
What is the support vector machine algorithm used for?
In some studies, Support Vector Machines (SVMs) have been turned out to be promising for predicting fault-prone software components.