Browsing by Author "Omer Faruk Arar"

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A feature dependent Naive Bayes approach and its application to the software defect prediction problem

Omer Faruk Arar; Ayan, Kürşat (ELSEVIER SCIENCE BV, 2017)

Naive Bayes is one of the most widely used algorithms in classification problems because of its simplicity, effectiveness, and robustness. It is suitable for many learning scenarios, such as image classification, fraud ...
Deriving thresholds of software metrics to predict faults on open source software: Replicated case studies

Omer Faruk Arar; Ayan, Kürşat (PERGAMON-ELSEVIER SCIENCE LTD, 2016)

Object-oriented metrics aim to exhibit the quality of source code and give insight to it quantitatively. Each metric assesses the code from a different aspect. There is a relationship between the quality level and the risk ...