Hidden in Plain Sight: Where Developers Confess Self-Admitted Technical Debt
Fuente:
arXiv
Guardado en:
| Autores principales: | Sridharan, Murali, Robredo, Mikel, Rantala, Leevi, Esposito, Matteo, Lenarduzzi, Valentina, Mantyla, Mika |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Detection, Classification and Prevalence of Self-Admitted Aging Debt
por: Sridharan, Murali, et al.
Publicado: (2025)
por: Sridharan, Murali, et al.
Publicado: (2025)
Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD)
por: Pham, Phuoc, et al.
Publicado: (2025)
por: Pham, Phuoc, et al.
Publicado: (2025)
What Were You Thinking? An LLM-Driven Large-Scale Study of Refactoring Motivations in Open-Source Projects
por: Robredo, Mikel, et al.
Publicado: (2025)
por: Robredo, Mikel, et al.
Publicado: (2025)
CppSATD: A Reusable Self-Admitted Technical Debt Dataset in C++
por: Sridharan, Murali, et al.
Publicado: (2025)
por: Sridharan, Murali, et al.
Publicado: (2025)
Evaluating Time-Dependent Methods and Seasonal Effects in Code Technical Debt Prediction
por: Robredo, Mikel, et al.
Publicado: (2024)
por: Robredo, Mikel, et al.
Publicado: (2024)
SQuaD: The Software Quality Dataset
por: Robredo, Mikel, et al.
Publicado: (2025)
por: Robredo, Mikel, et al.
Publicado: (2025)
In Search of Metrics to Guide Developer-Based Refactoring Recommendations
por: Robredo, Mikel, et al.
Publicado: (2024)
por: Robredo, Mikel, et al.
Publicado: (2024)
A Call for Critically Rethinking and Reforming Data Analysis in Empirical Software Engineering
por: Esposito, Matteo, et al.
Publicado: (2025)
por: Esposito, Matteo, et al.
Publicado: (2025)
SATDAUG -- A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt
por: Sutoyo, Edi, et al.
Publicado: (2024)
por: Sutoyo, Edi, et al.
Publicado: (2024)
The Dual-Edged Sword of Technical Debt: Benefits and Issues Analyzed Through Developer Discussions
por: Li, Xiaozhou, et al.
Publicado: (2024)
por: Li, Xiaozhou, et al.
Publicado: (2024)
The Invisible Hand of AI Libraries Shaping Open Source Projects and Communities
por: Esposito, Matteo, et al.
Publicado: (2026)
por: Esposito, Matteo, et al.
Publicado: (2026)
On the correlation between Architectural Smells and Static Analysis Warnings
por: Esposito, Matteo, et al.
Publicado: (2024)
por: Esposito, Matteo, et al.
Publicado: (2024)
What Makes Programmers Laugh? Exploring the Submissions of the Subreddit r/ProgrammerHumor
por: Kuutila, Miikka, et al.
Publicado: (2024)
por: Kuutila, Miikka, et al.
Publicado: (2024)
A Defect is Being Born: How Close Are We? A Time Sensitive Forecasting Approach
por: Robredo, Mikel, et al.
Publicado: (2026)
por: Robredo, Mikel, et al.
Publicado: (2026)
Exploring the Advances in Using Machine Learning to Identify Technical Debt and Self-Admitted Technical Debt
por: Melin, Eric L., et al.
Publicado: (2024)
por: Melin, Eric L., et al.
Publicado: (2024)
Early Career Developers' Perceptions of Code Understandability. A Study of Complexity Metrics
por: Esposito, Matteo, et al.
Publicado: (2023)
por: Esposito, Matteo, et al.
Publicado: (2023)
Understanding Self-Admitted Technical Debt in Test Code: An Empirical Study
por: Nakamura, Ibuki, et al.
Publicado: (2025)
por: Nakamura, Ibuki, et al.
Publicado: (2025)
Negativity in Self-Admitted Technical Debt: How Sentiment Influences Prioritization
por: Cassee, Nathan, et al.
Publicado: (2025)
por: Cassee, Nathan, et al.
Publicado: (2025)
An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software
por: Bhatia, Aaditya, et al.
Publicado: (2023)
por: Bhatia, Aaditya, et al.
Publicado: (2023)
Multi-Artifact Analysis of Self-Admitted Technical Debt in Scientific Software
por: Melin, Eric L., et al.
Publicado: (2026)
por: Melin, Eric L., et al.
Publicado: (2026)
A Taxonomy of Self-Admitted Technical Debt in Deep Learning Systems
por: Pepe, Federica, et al.
Publicado: (2024)
por: Pepe, Federica, et al.
Publicado: (2024)
Quantifying and Characterizing Clones of Self-Admitted Technical Debt in Build Systems
por: Xiao, Tao, et al.
Publicado: (2024)
por: Xiao, Tao, et al.
Publicado: (2024)
A First Look at the Lifecycle of DL-Specific Self-Admitted Technical Debt
por: Recupito, Gilberto, et al.
Publicado: (2025)
por: Recupito, Gilberto, et al.
Publicado: (2025)
Generative AI in Evidence-Based Software Engineering: A White Paper
por: Esposito, Matteo, et al.
Publicado: (2024)
por: Esposito, Matteo, et al.
Publicado: (2024)
A First Look at the Self-Admitted Technical Debt in Test Code: Taxonomy and Detection
por: Islam, Shahidul, et al.
Publicado: (2025)
por: Islam, Shahidul, et al.
Publicado: (2025)
Self-Admitted Technical Debt in Scientific Software: Prioritization, Sentiment, and Propagation Across Artifacts
por: Melin, Eric L., et al.
Publicado: (2026)
por: Melin, Eric L., et al.
Publicado: (2026)
Self-Admitted Technical Debt in LLM Software: An Empirical Comparison with ML and Non-ML Software
por: Selvanayagam, Niruthiha, et al.
Publicado: (2026)
por: Selvanayagam, Niruthiha, et al.
Publicado: (2026)
How Do Community Smells Influence Self-Admitted Technical Debt in Machine Learning Projects?
por: Cynthia, Shamse Tasnim, et al.
Publicado: (2025)
por: Cynthia, Shamse Tasnim, et al.
Publicado: (2025)
Autonomic Microservice Management via Agentic AI and MAPE-K Integration
por: Esposito, Matteo, et al.
Publicado: (2025)
por: Esposito, Matteo, et al.
Publicado: (2025)
LLM-Based Repair of Static Nullability Errors
por: Karimipour, Nima, et al.
Publicado: (2025)
por: Karimipour, Nima, et al.
Publicado: (2025)
Understanding the Effectiveness of LLMs in Automated Self-Admitted Technical Debt Repayment
por: Sheikhaei, Mohammad Sadegh, et al.
Publicado: (2025)
por: Sheikhaei, Mohammad Sadegh, et al.
Publicado: (2025)
Self-Admitted Technical Debt Detection Approaches: A Decade Systematic Review
por: Sutoyo, Edi, et al.
Publicado: (2023)
por: Sutoyo, Edi, et al.
Publicado: (2023)
Token Interdependency Parsing (Tipping) -- Fast and Accurate Log Parsing
por: Hashemi, Shayan, et al.
Publicado: (2024)
por: Hashemi, Shayan, et al.
Publicado: (2024)
Speed and Performance of Parserless and Unsupervised Anomaly Detection Methods on Software Logs
por: Nyyssölä, Jesse, et al.
Publicado: (2023)
por: Nyyssölä, Jesse, et al.
Publicado: (2023)
Detecting Anomalies in Software Execution Logs with Siamese Network
por: Hashemi, Shayan, et al.
Publicado: (2021)
por: Hashemi, Shayan, et al.
Publicado: (2021)
Leveraging Network Methods for Hub-like Microservice Detection
por: Bakhtin, Alexander, et al.
Publicado: (2025)
por: Bakhtin, Alexander, et al.
Publicado: (2025)
Evidence is All We Need: Do Self-Admitted Technical Debts Impact Method-Level Maintenance?
por: Chowdhury, Shaiful, et al.
Publicado: (2024)
por: Chowdhury, Shaiful, et al.
Publicado: (2024)
Comments or Issues: Where to Document Technical Debt?
por: Xavier, Laerte, et al.
Publicado: (2024)
por: Xavier, Laerte, et al.
Publicado: (2024)
Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
por: Sutoyo, Edi, et al.
Publicado: (2024)
por: Sutoyo, Edi, et al.
Publicado: (2024)
Text Tells the Cost: Predicting and Analyzing Repayment Effort of Self-Admitted Technical Debt
por: Li, Yikun, et al.
Publicado: (2023)
por: Li, Yikun, et al.
Publicado: (2023)
Ejemplares similares
-
Detection, Classification and Prevalence of Self-Admitted Aging Debt
por: Sridharan, Murali, et al.
Publicado: (2025) -
Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD)
por: Pham, Phuoc, et al.
Publicado: (2025) -
What Were You Thinking? An LLM-Driven Large-Scale Study of Refactoring Motivations in Open-Source Projects
por: Robredo, Mikel, et al.
Publicado: (2025) -
CppSATD: A Reusable Self-Admitted Technical Debt Dataset in C++
por: Sridharan, Murali, et al.
Publicado: (2025) -
Evaluating Time-Dependent Methods and Seasonal Effects in Code Technical Debt Prediction
por: Robredo, Mikel, et al.
Publicado: (2024)