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Empirical Analysis and Automated Classification of Security Bug Reports
Author(s) -
Jacob Tyo
Publication year - 2016
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.33915/etd.6843
Subject(s) - computer science , machine learning , security bug , artificial intelligence , software security assurance , classifier (uml) , naive bayes classifier , software , empirical research , secure coding , data mining , information security , computer security , support vector machine , security service , philosophy , epistemology , programming language

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