
A Novel Approach to Determine Software Security Level using Bayes Classifier via Static Code Metrics
Author(s) -
Güncel Sarıman,
Ecir Uğur Küçüksille
Publication year - 2016
Publication title -
elektronika ir elektrotechnika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.224
H-Index - 26
eISSN - 2029-5731
pISSN - 1392-1215
DOI - 10.5755/j01.eie.22.2.14595
Subject(s) - computer science , classifier (uml) , naive bayes classifier , software , bayes' theorem , machine learning , software security assurance , code (set theory) , data mining , artificial intelligence , pattern recognition (psychology) , bayesian probability , programming language , computer security , information security , set (abstract data type) , security service , support vector machine