Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

Context: Technical debt (TD) is a well-known metaphor for the long-term effects of
architectural decisions in software development and the trade-off between producing high …

Abstract Self-Admitted Technical Debt (SATD) is primarily studied in Object-Oriented (OO)
languages and traditionally commercial software. However, scientific software coded in …

Technical Debt (TD) identification in software projects issues is crucial for maintaining code
quality, reducing long-term maintenance costs, and improving overall project health. This …

Numerous tools exist for mining source code and software development process metrics.
However, very few publicly available tools focus on source code comments, a crucial …

Most Self-Admitted Technical Debt (SATD) research utilizes explicit SATD features such as
'TODO'and 'FIXME'for SATD detection. A closer look reveals several SATD research uses …

Self-Admitted Technical Debt (SATD) refers to circumstances where developers use textual
artifacts to explain why the existing implementation is not optimal. Past research in detecting …

Self-admitted technical debt (SATD) refers to a form of technical debt in which developers
explicitly acknowledge and document the existence of technical shortcuts, workarounds, or …

Clinicians are required to make an early prediction of diseases to save a life, especially
cerebrovascular diseases. The objective of this research is to use mathematical models …

In software engineering, technical debt, signifying the compromise between short-term
expediency and long-term maintainability, is being addressed by researchers through …