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20242026
most citedExploring the Advances in Using Machine Learning to Identify Technical Debt and Self-Admitted Technical Debt

2 citations · 3 across the 4 of their papers we have counts for

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cs.SE2026★ 1 cited

Self-Admitted Technical Debt in Scientific Software: Prioritization, Sentiment, and Propagation Across Artifacts

Eric L. Melin, Nasir U. Eisty, Gregory R. Watson +1

Self-admitted technical debt (SATD) impairs scientific software (SSW), yet its prioritization, sentiment, persistence, and propagation remains underexplored. Understanding how SSW…

cs.SE2026

Multi-Artifact Analysis of Self-Admitted Technical Debt in Scientific Software

Eric L. Melin, Nasir U. Eisty, Gregory Watson +1

Context: Self-admitted technical debt (SATD) occurs when developers acknowledge shortcuts in code. In scientific software (SSW), such debt poses unique risks to the validity and re…