Copertina

A Systematic Literature Review of the Use of GenAI Assistants for Code Comprehension: Implications for Computing Education Research and Practice

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Qiao, Yunhan, Shihab, Md Istiak Hossain, Hundhausen, Christopher
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Code Comprehension with GitHub Copilot: Performance Gains, Comprehension Trade-offs, and Behavioral Predictors in Brownfield Programming
di: Qiao, Yunhan, et al.
Pubblicazione: (2025)

The Effects of GitHub Copilot on Computing Students' Programming Effectiveness, Efficiency, and Processes in Brownfield Programming Tasks
di: Shihab, Md Istiak Hossain, et al.
Pubblicazione: (2025)

"So what if I used GenAI?" -- Implications of Using Cloud-based GenAI in Software Engineering Research
di: Ginde, Gouri
Pubblicazione: (2024)

Comprehension Debt in GenAI-Assisted Software Engineering Projects
di: Ahmad, Muhammad Ovais
Pubblicazione: (2026)

Human to Document, AI to Code: Comparing GenAI for Notebook Competitions
di: Settewong, Tasha, et al.
Pubblicazione: (2025)

Opportunities and Limitations of GenAI in RE: Viewpoints from Practice
di: Hess, Anne, et al.
Pubblicazione: (2026)

Forecasting Developer Environments with GenAI: A Research Perspective
di: Kula, Raula Gaikovina, et al.
Pubblicazione: (2026)

GenAI Is No Silver Bullet for Qualitative Research in Software Engineering
di: Ernst, Neil A., et al.
Pubblicazione: (2026)

Paradigm shift on Coding Productivity Using GenAI
di: Yu, Liang
Pubblicazione: (2025)

Between Policy and Practice: GenAI Adoption in Agile Software Development Teams
di: Neumann, Michael, et al.
Pubblicazione: (2026)

AutoMCQ -- Automatically Generate Code Comprehension Questions using GenAI
di: Goodfellow, Martin, et al.
Pubblicazione: (2025)

Mind the Ethics! The Overlooked Ethical Dimensions of GenAI in Software Modeling Education
di: Chakraborty, Shalini, et al.
Pubblicazione: (2025)

Encouraging Students' Responsible Use of GenAI in Software Engineering Education: A Causal Model and Two Institutional Applications
di: Garousi, Vahid, et al.
Pubblicazione: (2025)

AI Assistants for Incident Lifecycle in a Microservice Environment: A Systematic Literature Review
di: Zhou, Dahlia Ziqi, et al.
Pubblicazione: (2024)

CodeR3: A GenAI-Powered Workflow Repair and Revival Ecosystem
di: Zaman, Asif, et al.
Pubblicazione: (2025)

A Systematic AI Adoption Framework for Higher Education: From Student GenAI Usage to Institutional Integration
di: Neumann, Michael, et al.
Pubblicazione: (2026)

Harnessing the Potential of Gen-AI Coding Assistants in Public Sector Software Development
di: Ng, Kevin KB, et al.
Pubblicazione: (2024)

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

Survey of GenAI for Automotive Software Development: From Requirements to Executable Code
di: Petrovic, Nenad, et al.
Pubblicazione: (2025)

A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models
di: Afrin, Saima, et al.
Pubblicazione: (2025)

Self-Admitted GenAI Usage in Open-Source Software
di: Xiao, Tao, et al.
Pubblicazione: (2025)

GenAI in Software Engineering: The Role of Technology Acceptance Models
di: Johansson, Oscar, et al.
Pubblicazione: (2026)

Test-Oriented Programming: rethinking coding for the GenAI era
di: Melegati, Jorge
Pubblicazione: (2026)

"Maybe We Need Some More Examples:" Individual and Team Drivers of Developer GenAI Tool Use
di: Miller, Courtney, et al.
Pubblicazione: (2025)

From Early Adoption to Sustained Use: Understanding GenAI Usage Among Software Developers in Italian SMEs
di: Calefato, Fabio, et al.
Pubblicazione: (2026)

Automating Code Review: A Systematic Literature Review
di: Tufano, Rosalia, et al.
Pubblicazione: (2025)

WhatsCode: Large-Scale GenAI Deployment for Developer Efficiency at WhatsApp
di: Mao, Ke, et al.
Pubblicazione: (2025)

How Natural Language Proficiency Shapes GenAI Code for Software Engineering Tasks
di: Rojpaisarnkit, Ruksit, et al.
Pubblicazione: (2025)

Model-based Maintenance and Evolution with GenAI: A Look into the Future
di: Marchezan, Luciano, et al.
Pubblicazione: (2024)

At What Cost? Software Developers' Well-Being in the Age of GenAI
di: Guizani, Mariam, et al.
Pubblicazione: (2026)

Modern Code Reviews -- Survey of Literature and Practice
di: Badampudi, Deepika, et al.
Pubblicazione: (2024)

AI Policy, Disclosure, and Human in the Loop: How Are Contribution Guidelines Adapting to GenAI?
di: Hora, Andre, et al.
Pubblicazione: (2026)

Prompt Migration: Stabilizing GenAI Applications with Evolving Large Language Models
di: Tripathi, Shivani, et al.
Pubblicazione: (2025)

GenAI-Enabled Backlog Grooming in Agile Software Projects: An Empirical Study
di: Oftebro, Kasper Lien, et al.
Pubblicazione: (2025)

A Systematic Literature Review on Neural Code Translation
di: Chen, Xiang, et al.
Pubblicazione: (2025)

The Fast and Spurious: Developer Productivity with GenAI
di: Afroz, Sadia, et al.
Pubblicazione: (2025)

Will It Survive? Deciphering the Fate of AI-Generated Code in Open Source
di: Rahman, Musfiqur, et al.
Pubblicazione: (2026)

Software Development Analytics in Practice: A Systematic Literature Review
di: Caldeira, Joao, et al.
Pubblicazione: (2020)

GenAI for Simulation Model in Model-Based Systems Engineering
di: Zhang, Lin, et al.
Pubblicazione: (2025)

GenAI for Automotive Software Development: From Requirements to Wheels
di: Petrovic, Nenad, et al.
Pubblicazione: (2025)