Cover Image

A Survey on Large Language Model Impact on Software Evolvability and Maintainability: the Good, the Bad, the Ugly, and the Remedy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Matias, Bruno Claudino, Freire, Savio, Freitas, Juliana, Fronchetti, Felipe, Damevski, Kostadin, Spinola, Rodrigo
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

Software Fairness Debt
by: Santos, Ronnie de Souza, et al.
Published: (2024)

Improving Data Curation of Software Vulnerability Patches through Uncertainty Quantification
by: Chen, Hui, et al.
Published: (2024)

Data Augmentation for Improving Emotion Recognition in Software Engineering Communication
by: Imran, Mia Mohammad, et al.
Published: (2022)

Psycholinguistic Analyses in Software Engineering Text: A Systematic Literature Review
by: Sajadi, Amirali, et al.
Published: (2025)

Towards Personalizing Secure Programming Education with LLM-Injected Vulnerabilities
by: Frazier, Matthew, et al.
Published: (2026)

Investigating the use of Snowballing on Gray Literature Reviews
by: Gomes, Felipe, et al.
Published: (2024)

How Safe Are AI-Generated Patches? A Large-scale Study on Security Risks in LLM and Agentic Automated Program Repair on SWE-bench
by: Sajadi, Amirali, et al.
Published: (2025)

Investigating Conversational Agents to Support Secondary School Students Learning CSP
by: Frazier, Matthew, et al.
Published: (2026)

Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads
by: Ehsani, Ramtin, et al.
Published: (2024)

Exploring Empathy in Software Engineering: Insights from a Grey Literature Analysis of Practitioners' Perspectives
by: Cerqueira, Lidiany, et al.
Published: (2025)

Attributes of a Great Requirements Engineer
by: Barbosa, Larissa, et al.
Published: (2024)

Understanding Undesirable Attributes of Requirements Engineers: Insights from Practitioners
by: Barbosa, Larissa, et al.
Published: (2026)

Understanding and Predicting Derailment in Toxic Conversations on GitHub
by: Imran, Mia Mohammad, et al.
Published: (2025)

On the Role and Impact of GenAI Tools in Software Engineering Education
by: Qin, Qiaolin, et al.
Published: (2025)

LLM-Assisted Empirical Software Engineering: Systematic Literature Review and Research Agenda
by: Gomes, Victoria, et al.
Published: (2026)

Do LLMs Consider Security? An Empirical Study on Responses to Programming Questions
by: Sajadi, Amirali, et al.
Published: (2025)

Toxicity Ahead: Forecasting Conversational Derailment on GitHub
by: Imran, Mia Mohammad, et al.
Published: (2025)

Maintaining the Heterogeneity in the Organization of Software Engineering Research
by: Yue, Yang, et al.
Published: (2026)

What Characterizes a Software Leader? Identifying Leadership Practices from Practitioners Social Media
by: Coelho, Murilo, et al.
Published: (2026)

The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks
by: Shin, Jiho, et al.
Published: (2023)

The Mythical Good Software
by: Homay, Aydin
Published: (2025)

"Good" and "Bad" Failures in Industrial CI/CD -- Balancing Cost and Quality Assurance
by: Sun, Simin, et al.
Published: (2025)

Industrial Code Quality Benchmarks: Toward Gamification of Software Maintainability
by: Borg, Markus, et al.
Published: (2024)

The Good, the Bad, and the Monstrous: Predicting Highly Change-Prone Source Code Methods at Their Inception
by: Chowdhury, Shaiful
Published: (2024)

A Survey on Large Language Models for Software Engineering
by: Zhang, Quanjun, et al.
Published: (2023)

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

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback
by: Duan, Guoliang, et al.
Published: (2025)

Software Testing with Large Language Models: Survey, Landscape, and Vision
by: Wang, Junjie, et al.
Published: (2023)

Sustaining Maintenance Labor for Healthy Open Source Software Projects through Human Infrastructure: A Maintainer Perspective
by: Linåker, Johan, et al.
Published: (2024)

Echoes of AI: Investigating the Downstream Effects of AI Assistants on Software Maintainability
by: Borg, Markus, et al.
Published: (2025)

Software Fairness: An Analysis and Survey
by: Soremekun, Ezekiel, et al.
Published: (2022)

Developers' Perceptions on the Impact of ChatGPT in Software Development: A Survey
by: Vaillant, Thiago S., et al.
Published: (2024)

The Impact of AI-Generated Solutions on Software Architecture and Productivity: Results from a Survey Study
by: Amasanti, Giorgio, et al.
Published: (2025)

Understanding the Role of Large Language Models in Software Engineering: Evidence from an Industry Survey
by: de Brito, Vítor Mateus, et al.
Published: (2025)

ACE: Automated Technical Debt Remediation with Validated Large Language Model Refactorings
by: Tornhill, Adam, et al.
Published: (2025)

Preliminary Insights on Industry Practices for Addressing Fairness Debt
by: Santos, Ronnie de Souza, et al.
Published: (2024)

Teaching Survey Research in Software Engineering
by: Kalinowski, Marcos, et al.
Published: (2024)

Are Autonomous Web Agents Good Testers?
by: Chevrot, Antoine, et al.
Published: (2025)

Exploring the Impact of Code Style in Identifying Good Programmers
by: Yasir, Rafed Muhammad, et al.
Published: (2022)

A Large-Scale Study on Developer Engagement and Expertise in Configurable Software System Projects
by: Milano, Karolina M., et al.
Published: (2025)