
Empirical Analysis and Automated Classification of Security Bug Reports
Author(s) -
Jacob Tyo
Publication year - 2019
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.33915/etd.6843
Subject(s) - computer science , machine learning , security bug , artificial intelligence , classifier (uml) , software security assurance , naive bayes classifier , secure coding , software , empirical research , data mining , information security , computer security , support vector machine , security service , programming language , philosophy , epistemology