Results show that the adaptation of the HySOM model for class-level fault-proneness prediction improves the consistency and the performance of the model. We ...
Predicting Fault-Prone Classes in Object-Oriented Software
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The adaptation of the HySOM model for class-level fault-proneness prediction improves the consistency and the performance of the model and is compared to ...
Predicting Fault-Prone Classes in Object-Oriented. Software: An Adaptation of an Unsupervised. Hybrid SOM Algorithm. Alexandre Boucher. Software Engineering ...
The adaptation of the HySOM model for class-level fault-proneness prediction improves the consistency and the performance of the model and is compared to ...
Boucher, A., Badri, M.: Predicting fault-prone classes in object-oriented software: an adaptation of an unsupervised hybrid SOM algorithm. In: 2017 IEEE ...
Boucher, A., Badri, M.: Predicting fault-prone classes in objectoriented software: an adaptation of an unsupervised hybrid SOM algorithm. In: 2017 IEEE ...
Predicting Fault-Prone Classes in Object-Oriented Software: An Adaptation of an Unsupervised Hybrid SOM Algorithm · A. BoucherM. Badri. Computer Science.
Predicting Fault-Prone Classes in Object-Oriented Software: An Adaptation of an Unsupervised Hybrid SOM Algorithm. Submitted by grigby1 on Thu, ...
Alexandre Boucher, Mourad Badri: Predicting Fault-Prone Classes in Object-Oriented Software: An Adaptation of an Unsupervised Hybrid SOM Algorithm.
Jun 30, 2019 · Badri, "Predicting Fault-Prone Classes in Object-Oriented Software: An Adaptation of an Unsupervised Hybrid SOM Algorithm," IEEE ...