Image de couverture de livre

Text Tells the Cost: Predicting and Analyzing Repayment Effort of Self-Admitted Technical Debt

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Yikun, Soliman, Mohamed, Avgeriou, Paris, Tan, Jie, Liu, Jiakun
Format:	Preprint
Publié:	2023
Sujets:	Software Engineering Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
par: Sutoyo, Edi, et autres
Publié: (2024)

Reducing Labeling Effort in Architecture Technical Debt Detection through Active Learning and Explainable AI
par: Sutoyo, Edi, et autres
Publié: (2026)

Understanding the Effectiveness of LLMs in Automated Self-Admitted Technical Debt Repayment
par: Sheikhaei, Mohammad Sadegh, et autres
Publié: (2025)

Self-Admitted Technical Debt Detection Approaches: A Decade Systematic Review
par: Sutoyo, Edi, et autres
Publié: (2023)

The Dangers of Non-Self-Fixed Architecture Technical Debt and Its Impact on Time-to-Fix
par: Sutoyo, Edi, et autres
Publié: (2026)

Tracing the Lifecycle of Architecture Technical Debt in Software Systems: A Dependency Approach
par: Sutoyo, Edi, et autres
Publié: (2025)

TagDebt: A Bot to Support Technical Debt Management
par: Biazotto, João Paulo, et autres
Publié: (2026)

Manifesto from Dagstuhl Perspectives Workshop 24452 -- Reframing Technical Debt
par: Avgeriou, Paris, et autres
Publié: (2025)

Investigating CI/CD-based Technical Debt Management in Open-source Projects
par: Biazotto, João Paulo, et autres
Publié: (2026)

Automating Technical Debt Management: Insights from Practitioner Discussions in Stack Exchange
par: Biazotto, João Paulo, et autres
Publié: (2025)

Exploring the Advances in Using Machine Learning to Identify Technical Debt and Self-Admitted Technical Debt
par: Melin, Eric L., et autres
Publié: (2024)

An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software
par: Bhatia, Aaditya, et autres
Publié: (2023)

Understanding Self-Admitted Technical Debt in Test Code: An Empirical Study
par: Nakamura, Ibuki, et autres
Publié: (2025)

Negativity in Self-Admitted Technical Debt: How Sentiment Influences Prioritization
par: Cassee, Nathan, et autres
Publié: (2025)

Multi-Artifact Analysis of Self-Admitted Technical Debt in Scientific Software
par: Melin, Eric L., et autres
Publié: (2026)

A Taxonomy of Self-Admitted Technical Debt in Deep Learning Systems
par: Pepe, Federica, et autres
Publié: (2024)

Quantifying and Characterizing Clones of Self-Admitted Technical Debt in Build Systems
par: Xiao, Tao, et autres
Publié: (2024)

Vibe Coding in Practice: Flow, Technical Debt, and Guidelines for Sustainable Use
par: Waseem, Muhammad, et autres
Publié: (2025)

A First Look at the Lifecycle of DL-Specific Self-Admitted Technical Debt
par: Recupito, Gilberto, et autres
Publié: (2025)

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

Detection, Classification and Prevalence of Self-Admitted Aging Debt
par: Sridharan, Murali, et autres
Publié: (2025)

Identifying Technical Debt and Its Types Across Diverse Software Projects Issues
par: Shivashankar, Karthik, et autres
Publié: (2024)

A First Look at the Self-Admitted Technical Debt in Test Code: Taxonomy and Detection
par: Islam, Shahidul, et autres
Publié: (2025)

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

Self-Admitted Technical Debt in LLM Software: An Empirical Comparison with ML and Non-ML Software
par: Selvanayagam, Niruthiha, et autres
Publié: (2026)

How Do Community Smells Influence Self-Admitted Technical Debt in Machine Learning Projects?
par: Cynthia, Shamse Tasnim, et autres
Publié: (2025)

Methodological Considerations for Self-adaptive Systems: An Essay
par: Hezavehi, Sara Mahdavi, et autres
Publié: (2025)

State of the Art on Self-adaptive Systems: An Essay
par: Hezavehi, Sara Mahdavi, et autres
Publié: (2025)

SATDAUG -- A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt
par: Sutoyo, Edi, et autres
Publié: (2024)

Evidence is All We Need: Do Self-Admitted Technical Debts Impact Method-Level Maintenance?
par: Chowdhury, Shaiful, et autres
Publié: (2024)

Leveraging AI for Enhanced Software Effort Estimation: A Comprehensive Study and Framework Proposal
par: Tran, Nhi, et autres
Publié: (2024)

"TODO: Fix the Mess Gemini Created": Towards Understanding GenAI-Induced Self-Admitted Technical Debt
par: Mujahid, Abdullah Al, et autres
Publié: (2026)

Measuring the Impact of Technical Debt on Development Effort in Software Projects
par: Gupta, Kartik
Publié: (2025)

Hidden in Plain Sight: Where Developers Confess Self-Admitted Technical Debt
par: Sridharan, Murali, et autres
Publié: (2025)

Towards Automated Identification of Violation Symptoms of Architecture Erosion
par: Li, Ruiyin, et autres
Publié: (2023)

Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD)
par: Pham, Phuoc, et autres
Publié: (2025)

Agile Software Effort Estimation using Regression Techniques
par: Sima, Sisay Deresa, et autres
Publié: (2025)

Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests
par: Gong, Jingzhi, et autres
Publié: (2026)

BUILD-AND-FIND: An Effort-Aware Protocol for Evaluating Agent-Managed Codebases
par: Lin, Jhen-Ke
Publié: (2026)

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