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"It would work for me too": How Online Communities Shape Software
  Developers' Trust in AI-Powered Code Generation Tools
v1v2 (latest)

"It would work for me too": How Online Communities Shape Software Developers' Trust in AI-Powered Code Generation Tools

7 December 2022
Ruijia Cheng
Ruotong Wang
Thomas Zimmermann
Denae Ford
ArXiv (abs)PDFHTMLGithub

Papers citing ""It would work for me too": How Online Communities Shape Software Developers' Trust in AI-Powered Code Generation Tools"

17 / 17 papers shown
Large Language Models for Software Testing: A Research Roadmap
Large Language Models for Software Testing: A Research Roadmap
Cristian Augusto
Antonia Bertolino
Guglielmo De Angelis
Francesca Lonetti
Jesús Morán
141
3
0
29 Sep 2025
Mapping the Trust Terrain: LLMs in Software Engineering -- Insights and Perspectives
Mapping the Trust Terrain: LLMs in Software Engineering -- Insights and Perspectives
Dipin Khati
Yijin Liu
David Nader-Palacio
Yixuan Zhang
Denys Poshyvanyk
368
2
0
18 Mar 2025
Novice Developers' Perspectives on Adopting LLMs for Software Development: A Systematic Literature Review
Novice Developers' Perspectives on Adopting LLMs for Software Development: A Systematic Literature Review
Samuel Ferino
Rashina Hoda
John Grundy
Christoph Treude
313
1
0
10 Mar 2025
Human-AI Experience in Integrated Development Environments: A Systematic Literature Review
Human-AI Experience in Integrated Development Environments: A Systematic Literature Review
Agnia Sergeyuk
Ilya Zakharov
Ekaterina Koshchenko
Maliheh Izadi
495
11
0
08 Mar 2025
Trust Calibration in IDEs: Paving the Way for Widespread Adoption of AI
  Refactoring
Trust Calibration in IDEs: Paving the Way for Widespread Adoption of AI RefactoringIde (IDE), 2024
Markus Borg
243
1
0
20 Dec 2024
AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based
  Assistant to Support Genetic Professionals
AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Support Genetic Professionals
Angela Mastrianni
Hope Twede
Aleksandra Sarcevic
Jeremiah Wander
Christina Austin-Tse
Scott Saponas
Heidi Rehm
Ashley Mae Conard
Amanda K. Hall
244
6
0
19 Dec 2024
What Guides Our Choices? Modeling Developers' Trust and Behavioral
  Intentions Towards GenAI
What Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards GenAIInternational Conference on Software Engineering (ICSE), 2024
Rudrajit Choudhuri
Bianca Trinkenreich
Rahul Pandita
Eirini Kalliamvakou
Igor Steinmacher
M. Gerosa
Christopher Sanchez
Anita Sarma
287
16
0
06 Sep 2024
Information Seeking Using AI Assistants
Information Seeking Using AI Assistants
Ebtesam Al Haque
Chris Brown
Thomas D. Latoza
Brittany Johnson
135
0
0
07 Aug 2024
Towards More Trustworthy and Interpretable LLMs for Code through
  Syntax-Grounded Explanations
Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations
David Nader-Palacio
Daniel Rodríguez-Cárdenas
Alejandro Velasco
Dipin Khati
Kevin Moran
Denys Poshyvanyk
410
13
0
12 Jul 2024
AI-Augmented Predictions: LLM Assistants Improve Human Forecasting
  Accuracy
AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy
P. Schoenegger
Peter S. Park
Ezra Karger
P. Tetlock
402
35
0
12 Feb 2024
Trust in Generative AI among students: An Exploratory Study
Trust in Generative AI among students: An Exploratory StudyTechnical Symposium on Computer Science Education (SIGCSE), 2023
Matin Amoozadeh
David Daniels
Daye Nam
Aayush Kumar
Stella Chen
Michael Hilton
Sruti Srinivasa Ragavan
Mohammad Amin Alipour
239
123
0
07 Oct 2023
"Always Nice and Confident, Sometimes wrong": Developer's Experiences
  Engaging Generative AI Chatbots Versus Human-Powered Q&A Platforms
"Always Nice and Confident, Sometimes wrong": Developer's Experiences Engaging Generative AI Chatbots Versus Human-Powered Q&A Platforms
Jiachen Li
Elizabeth D. Mynatt
Varun Mishra
J. Bell
224
1
0
24 Sep 2023
PwR: Exploring the Role of Representations in Conversational Programming
PwR: Exploring the Role of Representations in Conversational Programming
YM Pradyumna
Vinod Ganesan
D. Arumugam
Meghna Gupta
Nischith Shadagopan
Tanay Dixit
Sameer Segal
Pratyush Kumar
Mohit Jain
S. Rajamani
246
6
0
18 Sep 2023
Investigating and Designing for Trust in AI-powered Code Generation
  Tools
Investigating and Designing for Trust in AI-powered Code Generation ToolsConference on Fairness, Accountability and Transparency (FAccT), 2023
Ruotong Wang
Ruijia Cheng
Denae Ford
Thomas Zimmermann
283
104
0
18 May 2023
A Large-Scale Survey on the Usability of AI Programming Assistants:
  Successes and Challenges
A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and ChallengesInternational Conference on Software Engineering (ICSE), 2023
Jenny T Liang
Chenyang Yang
Brad A. Myers
341
198
0
30 Mar 2023
Toward General Design Principles for Generative AI Applications
Toward General Design Principles for Generative AI Applications
Justin D. Weisz
Michael J. Muller
Jessica He
Stephanie Houde
AI4CE
284
77
0
13 Jan 2023
Chatbots As Fluent Polyglots: Revisiting Breakthrough Code Snippets
Chatbots As Fluent Polyglots: Revisiting Breakthrough Code Snippets
David Noever
Kevin Williams
180
13
0
05 Jan 2023
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