Cover Image

Developers' Perceptions on the Impact of ChatGPT in Software Development: A Survey

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vaillant, Thiago S., de Almeida, Felipe Deveza, Neto, Paulo Anselmo M. S., Gao, Cuiyun, Bosch, Jan, de Almeida, Eduardo Santana
Format:	Preprint
Published:	2024
Subjects:	Software Engineering D.2.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unveiling the Role of ChatGPT in Software Development: Insights from Developer-ChatGPT Interactions on GitHub
by: Li, Ruiyin, et al.
Published: (2025)

ChatGPT and Its Educational Impact: Insights from a Software Development Competition
by: Hwang, Sunhee, et al.
Published: (2024)

DevGPT: Studying Developer-ChatGPT Conversations
by: Xiao, Tao, et al.
Published: (2023)

ChatGPT as a Software Development Bot: A Project-based Study
by: Waseem, Muhammad, et al.
Published: (2023)

The role of library versions in Developer-ChatGPT conversations
by: Raj, Rachna, et al.
Published: (2024)

PatchTrack: A Comprehensive Analysis of ChatGPT's Influence on Pull Request Outcomes
by: Ogenrwot, Daniel, et al.
Published: (2025)

Why Do Developers Engage with ChatGPT in Issue-Tracker? Investigating Usage and Reliance on ChatGPT-Generated Code
by: Das, Joy Krishan, et al.
Published: (2024)

Pros and Cons! Evaluating ChatGPT on Software Vulnerability
by: Yin, Xin
Published: (2024)

What Developers Ask to ChatGPT in GitHub Pull Requests? an Exploratory Study
by: Silva, Julyanara R., et al.
Published: (2025)

Is ChatGPT a Good Software Librarian? An Exploratory Study on the Use of ChatGPT for Software Library Recommendations
by: Latendresse, Jasmine, et al.
Published: (2024)

Development of an automatic modification system for generated programs using ChatGPT
by: Yoshida, Jun, et al.
Published: (2024)

Prompt-Enhanced Software Vulnerability Detection Using ChatGPT
by: Zhang, Chenyuan, et al.
Published: (2023)

The Perceptions of Software Engineers Concerning the Utilization of Bots in the OSS Development Process: An Exploratory Survey
by: Manso, Danyellias Vaz de Lima, et al.
Published: (2024)

Impact of the Availability of ChatGPT on Software Development: A Synthetic Difference in Differences Estimation using GitHub Data
by: Quispe, Alexander, et al.
Published: (2024)

ChatGPT Incorrectness Detection in Software Reviews
by: Tanzil, Minaoar Hossain, et al.
Published: (2024)

Investigating Developers' Preferences for Learning and Issue Resolution Resources in the ChatGPT Era
by: Tayeb, Ahmad, et al.
Published: (2024)

How to Refactor this Code? An Exploratory Study on Developer-ChatGPT Refactoring Conversations
by: AlOmar, Eman Abdullah, et al.
Published: (2024)

Unveiling Ruby: Insights from Stack Overflow and Developer Survey
by: Akbarpour, Nikta, et al.
Published: (2025)

A Qualitative Study on Using ChatGPT for Software Security: Perception vs. Practicality
by: Kholoosi, M. Mehdi, et al.
Published: (2024)

Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice
by: Khojah, Ranim, et al.
Published: (2024)

CertiA360: Enhance Compliance Agility in Aerospace Software Development
by: Macedo, J. Antonio Dantas, et al.
Published: (2025)

An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues
by: Hao, Huizi, et al.
Published: (2024)

Exploring the Use of ChatGPT by Computer Science Students in Software Development: Applications, Ethical Considerations, and Insights for Engineering Education
by: Xu, Daihan, et al.
Published: (2025)

The AI-Native Large-Scale Agile Software Development Manifesto
by: Britto, Ricardo, et al.
Published: (2026)

Is ChatGPT 3 safe for students?
by: Kotovich, Julia, et al.
Published: (2024)

Evaluating LLMs Effectiveness in Detecting and Correcting Test Smells: An Empirical Study
by: Santana Jr, E. G., et al.
Published: (2025)

Please do not go: understanding turnover of software engineers from different perspectives
by: Carvalho, Michelle Larissa Luciano, et al.
Published: (2024)

Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT
by: Donato, Benedetta, et al.
Published: (2025)

Evaluating Repository-level Software Documentation via Question Answering and Feature-Driven Development
by: Wang, Xinchen, et al.
Published: (2026)

Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques
by: Widyasari, Ratnadira, et al.
Published: (2024)

What Makes a Great Software Quality Assurance Engineer?
by: Farias, Roselane Silva, et al.
Published: (2024)

ChatGPT in Introductory Programming: Counterbalanced Evaluation of Code Quality, Conceptual Learning, and Student Perceptions
by: Andleeb, Shiza, et al.
Published: (2025)

Semantic Reverse Engineering Legacy Software Applications with ChatGPT, Gemini AI, and Claude AI
by: Mancas, Christian, et al.
Published: (2026)

Evaluating and Improving ChatGPT-Based Expansion of Abbreviations
by: Jiang, Yanjie, et al.
Published: (2024)

Self-collaboration Code Generation via ChatGPT
by: Dong, Yihong, et al.
Published: (2023)

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks
by: Santana Jr, E. G., et al.
Published: (2025)

On Repairing Quantum Programs Using ChatGPT
by: Guo, Xiaoyu, et al.
Published: (2024)

Assistant, Parrot, or Colonizing Loudspeaker? ChatGPT Metaphors for Developing Critical AI Literacies
by: Gupta, Anuj, et al.
Published: (2024)

SOGPTSpotter: Detecting ChatGPT-Generated Answers on Stack Overflow
by: Ma, Suyu, et al.
Published: (2026)

An Empirical Study of the Non-determinism of ChatGPT in Code Generation
by: Ouyang, Shuyin, et al.
Published: (2023)