Cover Image

Exploring the Advances in Using Machine Learning to Identify Technical Debt and Self-Admitted Technical Debt

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Melin, Eric L., Eisty, Nasir U.
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Artifact Analysis of Self-Admitted Technical Debt in Scientific Software
by: Melin, Eric L., et al.
Published: (2026)

Self-Admitted Technical Debt in Scientific Software: Prioritization, Sentiment, and Propagation Across Artifacts
by: Melin, Eric L., et al.
Published: (2026)

Technical Lag as Latent Technical Debt: A Rapid Review
by: Panter, Shane K., et al.
Published: (2026)

Exploring Scientific Debt: Harnessing AI for SATD Identification in Scientific Software
by: Melin, Eric L., et al.
Published: (2025)

An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software
by: Bhatia, Aaditya, et al.
Published: (2023)

A Taxonomy of Self-Admitted Technical Debt in Deep Learning Systems
by: Pepe, Federica, et al.
Published: (2024)

How Do Community Smells Influence Self-Admitted Technical Debt in Machine Learning Projects?
by: Cynthia, Shamse Tasnim, et al.
Published: (2025)

Quantifying and Characterizing Clones of Self-Admitted Technical Debt in Build Systems
by: Xiao, Tao, et al.
Published: (2024)

Understanding Self-Admitted Technical Debt in Test Code: An Empirical Study
by: Nakamura, Ibuki, et al.
Published: (2025)

Negativity in Self-Admitted Technical Debt: How Sentiment Influences Prioritization
by: Cassee, Nathan, et al.
Published: (2025)

A First Look at the Lifecycle of DL-Specific Self-Admitted Technical Debt
by: Recupito, Gilberto, et al.
Published: (2025)

Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
by: Sutoyo, Edi, et al.
Published: (2024)

A First Look at the Self-Admitted Technical Debt in Test Code: Taxonomy and Detection
by: Islam, Shahidul, et al.
Published: (2025)

Understanding the Effectiveness of LLMs in Automated Self-Admitted Technical Debt Repayment
by: Sheikhaei, Mohammad Sadegh, et al.
Published: (2025)

SATDAUG -- A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt
by: Sutoyo, Edi, et al.
Published: (2024)

Self-Admitted Technical Debt Detection Approaches: A Decade Systematic Review
by: Sutoyo, Edi, et al.
Published: (2023)

Self-Admitted Technical Debt in LLM Software: An Empirical Comparison with ML and Non-ML Software
by: Selvanayagam, Niruthiha, et al.
Published: (2026)

Text Tells the Cost: Predicting and Analyzing Repayment Effort of Self-Admitted Technical Debt
by: Li, Yikun, et al.
Published: (2023)

MALTA: Maintenance-Aware Technical Lag, Estimation to Address Software Abandonment
by: Panter, Shane K., et al.
Published: (2026)

Evidence is All We Need: Do Self-Admitted Technical Debts Impact Method-Level Maintenance?
by: Chowdhury, Shaiful, et al.
Published: (2024)

Hidden in Plain Sight: Where Developers Confess Self-Admitted Technical Debt
by: Sridharan, Murali, et al.
Published: (2025)

Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD)
by: Pham, Phuoc, et al.
Published: (2025)

"TODO: Fix the Mess Gemini Created": Towards Understanding GenAI-Induced Self-Admitted Technical Debt
by: Mujahid, Abdullah Al, et al.
Published: (2026)

TagDebt: A Bot to Support Technical Debt Management
by: Biazotto, João Paulo, et al.
Published: (2026)

The TechDebt Game -- Enabling Discussions about Technical Debt
by: Wiese, Marion, et al.
Published: (2025)

Decade-long Utilization Patterns of ICSE Technical Papers and Associated Artifacts
by: Ahmed, Sharif, et al.
Published: (2024)

Different Debt: An Addition to the Technical Debt Dataset and a Demonstration Using Developer Personality
by: Graf-Vlachy, Lorenz, et al.
Published: (2024)

Technical Debt and Code Migration
by: Holland, John Gerrard
Published: (2025)

Reading Between the Code Lines: On the Use of Self-Admitted Technical Debt for Security Analysis
by: Ferreyra, Nicolás E. Díaz, et al.
Published: (2026)

Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems
by: Ximenes, Rodrigo, et al.
Published: (2025)

The Nature of Technical Debt in Research Software
by: Ernst, Neil A., et al.
Published: (2026)

The Technical Debt Gamble: A Case Study on Technical Debt in a Large-Scale Industrial Microservice Architecture
by: Borowa, Klara, et al.
Published: (2025)

PromptDebt: A Comprehensive Study of Technical Debt Across LLM Projects
by: Aljohani, Ahmed, et al.
Published: (2025)

Comments or Issues: Where to Document Technical Debt?
by: Xavier, Laerte, et al.
Published: (2024)

Detection of Technical Debt in Java Source Code
by: Hai, Nam Le, et al.
Published: (2024)

Non Technical Debt in Agile Software Development
by: Ahmad, Muhammad Ovais, et al.
Published: (2025)

From Technical Debt to Cognitive and Intent Debt: Rethinking Software Health in the Age of AI
by: Storey, Margaret-Anne
Published: (2026)

Racing Against the Clock: Exploring the Impact of Scheduled Deadlines on Technical Debt
by: Edbert, Joshua Aldrich, et al.
Published: (2025)

Exploring the Relationship Between Ownership and Contribution Alignment and Code Technical Debt
by: Zabardast, Ehsan, et al.
Published: (2023)

What Can Self-Admitted Technical Debt Tell Us About Security? A Mixed-Methods Study
by: Ferreyra, Nicolás E. Díaz, et al.
Published: (2024)