Abstract
Self-Admitted Technical Debt (SATD) is a metaphorical concept which describes the self-documented contribution of technical debt to a software project in the manner of source-code comments.
SATD can linger in projects and degrade source-code quality, but its palpable visibility draws a peculiar sort of attention from developers.
There is a need to understand the significance of engineering SATD within a software project, as these debts may have lurking repercussions.
While the oft-performed action of refactoring may work against a generalized volume of source code degradation, there exists only slight evidence suggesting that the act of refactoring has a distinct impact on SATD.
In fact, refactoring is better understood to convalesce the measurable quality of source code which may very well remain unimpressed by the preponderance of SATD instances.
In observation of the cross-section of these two concepts, it would seem logical to presume some magnitude of correlation between refactorings and SATD removals.
In this thesis, we will address the extent of such concurrence, while also seeking to develop a dependable tool to promote the empirical studies of SATD.
Using this tool, we mined data from 5 open source Java projects, from which associations between SATD removals and refactoring actions were drawn to show that developers tend to refactor SATD-containing code differently than they do code elsewhere in their projects.
We also concluded that design-related SATD is more likely to entail a refactoring than non-design SATD.
Library of Congress Subject Headings
Software failures--Research; Software refactoring; Software documentation
Publication Date
9-2020
Document Type
Thesis
Student Type
Graduate
Degree Name
Software Engineering (MS)
Department, Program, or Center
Software Engineering (GCCIS)
Advisor
Mohamed Wiem Mkaouer
Advisor/Committee Member
Christian D. Newman
Advisor/Committee Member
Ali Ouni
Recommended Citation
Christians, Ben, "Self-Admitted Technical Debt - An Investigation from Farm to Table to Refactoring" (2020). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/10491
Campus
RIT – Main Campus
Plan Codes
SOFTENG-MS