Date of Award
Summer 8-4-2022
Document Type
Thesis
Degree Name
Master of Arts (MA)
Department
Computer Science
First Advisor
Raffi Khatchadourian
Second Advisor
Anita Raja
Academic Program Adviser
Subash Shankar
Abstract
This thesis describes a software modeling approach aimed at addressing empirical studies in software engineering. We build a metamodel that provides an overview of the taxonomy of program bugfixes in deep learning programs. For modeling purposes, we present a prototype tool that is an implementation of the model-driven techniques presented.
Recommended Citation
Zneit, Manal, "A Tool-Supported Metamodel for Program BugFix Analysis in Empirical Software Engineering" (2022). CUNY Academic Works.
https://academicworks.cuny.edu/hc_sas_etds/923