4 ThesesFinal Thesis: Deterministic Classification of Accounting Functions in Code Contributions
Abstract: This thesis proposes a proof of concept for identifying Development, Enhancement, Maintenance, Protection, and Exploitation (DEMPE) functions through code contributions using machine learning techniques. Utilizing Design Science Research Methodology (DSRM), this study aims to create and assess a deterministic classification engine (artifact) for commit messages. Various supervised machine learning models: Logistic Regression, Random Forest, […]Abstract: This thesis proposes a proof of concept for identifying Development, Enhancement, Maintenance, Protection, and Exploitation (DEMPE) functions through code contributions using machine learning techniques. Utilizing Design Science Research Methodology (DSRM), this study aims to create and assess a deterministic classification engine (artifact) for commit messages. Various supervised machine learning models: Logistic Regression, Random Forest, […]
