Work

A Survey of Self-Admitted Technical Debt Detection

Year: 2025

Type: article

Abstract: Self-Admitted Technical Debt is a key research area in the current software engineering field. By detecting Self-Admitted Technical Debt, potential bugs in software code can be detected early, thus improving software quality. We have systematically organized and analyzed SATD detection in recent years and proposed several future research directions.

Source: 網際網路技術學刊

DOI: 10.70003/160792642025052603010

Authors: Xianzhen Dou, Long Li, Yubin Qu

Institutions: Institute of Scientific and Technical Information, Guilin University of Electronic Technology

Language: English

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Government of Jiangsu Province, Qinglan Project of Jiangsu Province of China, Science and Technology Project of Nantong City

Award: G293450442