Cover Image

Technical Lag as Latent Technical Debt: A Rapid Review

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Panter, Shane K., Eisty, Nasir U.
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Rusty Linux: Advances in Rust for Linux Kernel Development
by: Panter, Shane K., et al.
Published: (2024)

PVAC: Package Version Activity Categorizer, Leveraging Semantic Versioning in a Heterogeneous System
by: Panter, Shane K., et al.
Published: (2024)

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)

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

Understanding Emojis :) in Useful Code Review Comments
by: Ahmed, Sharif, et al.
Published: (2024)

Hold On! Is My Feedback Useful? Evaluating the Usefulness of Code Review Comments
by: Ahmed, Sharif, et al.
Published: (2025)

Characterizing the Usefulness of Code Review Comments in Scientific Software for Software Quality and Scientific Rigor
by: Ahmed, Sharif, et al.
Published: (2026)

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

Exploring Requirements Elicitation from App Store User Reviews Using Large Language Models
by: Ghosh, Tanmai Kumar, et al.
Published: (2024)

The Role of AI in Modern Penetration Testing
by: Curtis, J. Alexander, et al.
Published: (2025)

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

LLMs in Code Vulnerability Analysis: A Proof of Concept
by: Sultana, Shaznin, et al.
Published: (2026)

Code Vulnerability Detection: A Comparative Analysis of Emerging Large Language Models
by: Sultana, Shaznin, et al.
Published: (2024)

TagDebt: A Bot to Support Technical Debt Management
by: Biazotto, João Paulo, 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)

Shaky Structures: The Wobbly World of Causal Graphs in Software Analytics
by: Hulse, Jeremy, et al.
Published: (2025)

Introducing Ensemble Machine Learning Algorithms for Automatic Test Case Generation using Learning Based Testing
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2024)

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

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

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

Peer Code Review in Research Software Development: The Research Software Engineer Perspective
by: Malik, Md Ariful Islam, et al.
Published: (2025)

The Kubernetes Security Landscape: AI-Driven Insights from Developer Discussions
by: Curtis, J. Alexander, et al.
Published: (2024)

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

Testing Research Software: An In-Depth Survey of Practices, Methods, and Tools
by: Eisty, Nasir U., et al.
Published: (2025)

Leveraging Large Language Models for Predicting Cost and Duration in Software Engineering Projects
by: Carpenter, Justin, et al.
Published: (2024)

Sentiment Analysis of ML Projects: Bridging Emotional Intelligence and Code Quality
by: Ahmed, Md Shoaib, et al.
Published: (2024)

Non Technical Debt in Agile Software Development
by: Ahmad, Muhammad Ovais, 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)

Towards Compatibly Mitigating Technical Lag in Maven Projects
by: Lu, Rui
Published: (2025)

Measuring Technical Debt in AI-Based Competition Platforms
by: Sklavenitis, Dionysios, et al.
Published: (2024)

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

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

Beyond Pass/Fail: The Story of Learning-Based Testing
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2025)

Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware
by: Arifin, Md Mashrur, et al.
Published: (2026)

Investigating Technical Debt Types, Issues, and Solutions in Serverless Computing
by: Perera, Hasini Sumalee, et al.
Published: (2026)

Checkstyle+: Reducing Technical Debt Through The Use of Linters with LLMs
by: Dodor, Ella, et al.
Published: (2025)