Predicting Fault-Prone Classes in Object-Oriented Software: An Adaptation of an Unsupervised Hybrid SOM Algorithm ; Electronic ISBN: 978-1-5386-0592-9 ; CD: 978-1 ...
Predicting Fault-Prone Classes in Object-Oriented Software
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An empirical study based on semi-supervised hybrid self-organizing map for software fault prediction ... Knowl. Based Syst. 2015.
Abstract—Many fault-proneness prediction models have been proposed in literature to identify fault-prone code in software systems.
This article proposes a hybrid model for identifying the faults in the software models and also we proposed coupling model along with the algorithm so that the ...
Object oriented (OO) systems require effective metrics to assess quality of software. The paper is designed to identify attributes and measures that can help in ...
Dec 28, 2017 · Visible to the public Predicting Fault-Prone Classes in Object-Oriented Software: An Adaptation of an Unsupervised Hybrid SOM Algorithm.
This article proposes a hybrid model for identifying the faults in the software models and also a coupling model along with the algorithm so that the ...
Dec 18, 2017 · Prediction of software fault-prone classes using an unsupervised hybrid SOM algorithm. Article 15 March 2018. Use our pre-submission checklist.
This article proposes a hybrid model for identifying the faults in the software models and also we proposed coupling model along with the algorithm so that the ...
Missing: Adaptation | Show results with:Adaptation
