"Technical Debt survey"
Year: 2026
Type: dataset
Abstract: "The prevalence of Technical Debt (TD) in the contemporary landscape of swift software development poses a significant danger to the long-term maintainability and quality of systems. This study examines technical debt in Python software projects using a hybrid methodology that integrates developer perception assessment with predictive modeling tools."
Source: IEEE DataPort
DOI: 10.21227/2h3e-4h76
Authors: Elif Fırıncı, Mohanad Alayedi
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7128974191
