Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Jin, Claire, Rao, Sudha, Peng, Xiangyu, Botchway, Portia, Quaye, Jessica, Brockett, Chris, Dolan, Bill |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Player-Driven Emergence in LLM-Driven Game Narrative
by: Peng, Xiangyu, et al.
Published: (2024)
by: Peng, Xiangyu, et al.
Published: (2024)
Automatic Bias Detection in Source Code Review
by: Alebachew, Yoseph Berhanu, et al.
Published: (2025)
by: Alebachew, Yoseph Berhanu, et al.
Published: (2025)
Game Plot Design with an LLM-powered Assistant: An Empirical Study with Game Designers
by: Alavi, Seyed Hossein, et al.
Published: (2024)
by: Alavi, Seyed Hossein, et al.
Published: (2024)
Bug Detective and Quality Coach: Developers' Mental Models of AI-Assisted IDE Tools
by: Buono, Paolo, et al.
Published: (2025)
by: Buono, Paolo, et al.
Published: (2025)
Bridging the Interpretation Gap in Accessibility Testing: Empathetic and Legal-Aware Bug Report Generation via Large Language Models
by: Koyama, Ryoya, et al.
Published: (2026)
by: Koyama, Ryoya, et al.
Published: (2026)
Players' Perception of Bugs and Glitches in Video Games: An Exploratory Study
by: Backus, Jessica
Published: (2025)
by: Backus, Jessica
Published: (2025)
"Ohhh, He's the Boss!": Unpacking Power Dynamics Among Developers, Designers, and End-Users in FLOSS Usability
by: Hellman, Jazlyn, et al.
Published: (2025)
by: Hellman, Jazlyn, et al.
Published: (2025)
A Low-Code Approach for the Automatic Personalization of Conversational Agents
by: Conrardy, Aaron, et al.
Published: (2026)
by: Conrardy, Aaron, et al.
Published: (2026)
"Always Nice and Confident, Sometimes Wrong": Developer's Experiences Engaging Large Language Models (LLMs) Versus Human-Powered Q&A Platforms for Coding Support
by: Li, Jiachen, et al.
Published: (2023)
by: Li, Jiachen, et al.
Published: (2023)
ComboBench: Can LLMs Manipulate Physical Devices to Play Virtual Reality Games?
by: Li, Shuqing, et al.
Published: (2025)
by: Li, Shuqing, et al.
Published: (2025)
Generating Complex Code Analyzers from Natural Language Questions
by: Nazari, Amirmohammad, et al.
Published: (2026)
by: Nazari, Amirmohammad, et al.
Published: (2026)
An Empirical Study of Bugs in Data Visualization Libraries
by: Lu, Weiqi, et al.
Published: (2025)
by: Lu, Weiqi, et al.
Published: (2025)
Investigating the Prominence and Severity of Bugs and Glitches Within Games and Their Effects on Player Experience
by: Backus, Jessica
Published: (2025)
by: Backus, Jessica
Published: (2025)
A Unified, Cross-Platform Framework for Automatic GUI and Plugin Generation in Structural Bioinformatics and Beyond
by: Guo, Sikao, et al.
Published: (2026)
by: Guo, Sikao, et al.
Published: (2026)
CoVoL: A Cooperative Vocabulary Learning Game for Children with Autism
by: Chodkiewicz, Pawel, et al.
Published: (2025)
by: Chodkiewicz, Pawel, et al.
Published: (2025)
Task-Based Role-Playing VR Game for Supporting Intellectual Disability Therapies
by: Chen, Wen-Chun, et al.
Published: (2024)
by: Chen, Wen-Chun, et al.
Published: (2024)
Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking
by: Kang, Hong Jin, et al.
Published: (2024)
by: Kang, Hong Jin, et al.
Published: (2024)
PerspectiveCoach: Exploring LLMs for Developer Reflection
by: Olson, Lauren, et al.
Published: (2026)
by: Olson, Lauren, et al.
Published: (2026)
Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks
by: Etsenake, Deborah, et al.
Published: (2024)
by: Etsenake, Deborah, et al.
Published: (2024)
Detecting UX smells in Visual Studio Code using LLMs
by: Rodriguez, Andrés, et al.
Published: (2026)
by: Rodriguez, Andrés, et al.
Published: (2026)
Cognitive Biases in LLM-Assisted Software Development
by: Zhou, Xinyi, et al.
Published: (2026)
by: Zhou, Xinyi, et al.
Published: (2026)
RiskRAG: A Data-Driven Solution for Improved AI Model Risk Reporting
by: Rao, Pooja S. B., et al.
Published: (2025)
by: Rao, Pooja S. B., et al.
Published: (2025)
Early Accessibility: Automating Alt-Text Generation for UI Icons During App Development
by: Haque, Sabrina, et al.
Published: (2025)
by: Haque, Sabrina, et al.
Published: (2025)
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging
by: Ma, Qianou, et al.
Published: (2023)
by: Ma, Qianou, et al.
Published: (2023)
Towards LLM-Based Usability Analysis for Recommender User Interfaces
by: Lubos, Sebastian, et al.
Published: (2025)
by: Lubos, Sebastian, et al.
Published: (2025)
Patterns of Developer Adoption of LLM-Generated Code Refactoring Suggestions
by: Schön, David, et al.
Published: (2026)
by: Schön, David, et al.
Published: (2026)
The Evolution of Information Seeking in Software Development: Understanding the Role and Impact of AI Assistants
by: Haque, Ebtesam Al, et al.
Published: (2024)
by: Haque, Ebtesam Al, et al.
Published: (2024)
Towards Decoding Developer Cognition in the Age of AI Assistants
by: Haque, Ebtesam Al, et al.
Published: (2025)
by: Haque, Ebtesam Al, et al.
Published: (2025)
Participation and Power: A Case Study of Using Ecological Momentary Assessment to Engage Adolescents in Academic Research
by: Oguine, Ozioma C., et al.
Published: (2026)
by: Oguine, Ozioma C., et al.
Published: (2026)
Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification
by: Tang, Ningzhi, et al.
Published: (2025)
by: Tang, Ningzhi, et al.
Published: (2025)
Democratizing AI Development: Local LLM Deployment for India's Developer Ecosystem in the Era of Tokenized APIs
by: Udandarao, Vikranth, et al.
Published: (2025)
by: Udandarao, Vikranth, et al.
Published: (2025)
Amplifiers or Equalizers? A Longitudinal Study of LLM Evolution in Software Engineering Project-Based Learning
by: Kataoka, Hana, et al.
Published: (2025)
by: Kataoka, Hana, et al.
Published: (2025)
GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant
by: Merten, Gaspard, et al.
Published: (2025)
by: Merten, Gaspard, et al.
Published: (2025)
Breaking New Ground in Software Defect Prediction: Introducing Practical and Actionable Metrics with Superior Predictive Power for Enhanced Decision-Making
by: Cataño, Carlos Andrés Ramírez, et al.
Published: (2025)
by: Cataño, Carlos Andrés Ramírez, et al.
Published: (2025)
Debugging Without Error Messages: How LLM Prompting Strategy Affects Programming Error Explanation Effectiveness
by: Salmon, Audrey, et al.
Published: (2025)
by: Salmon, Audrey, et al.
Published: (2025)
"I Would Have Written My Code Differently'': Beginners Struggle to Understand LLM-Generated Code
by: Zi, Yangtian, et al.
Published: (2025)
by: Zi, Yangtian, et al.
Published: (2025)
Gendered Prompting and LLM Code Review: How Gender Cues in the Prompt Shape Code Quality and Evaluation
by: Janzen, Lynn, et al.
Published: (2026)
by: Janzen, Lynn, et al.
Published: (2026)
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security
by: Li, Yuanchun, et al.
Published: (2024)
by: Li, Yuanchun, et al.
Published: (2024)
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions
by: Tang, Ningzhi, et al.
Published: (2024)
by: Tang, Ningzhi, et al.
Published: (2024)
A Picture Is Worth a Thousand Words: Exploring Diagram and Video-Based OOP Exercises to Counter LLM Over-Reliance
by: Cipriano, Bruno Pereira, et al.
Published: (2024)
by: Cipriano, Bruno Pereira, et al.
Published: (2024)
Similar Items
-
Player-Driven Emergence in LLM-Driven Game Narrative
by: Peng, Xiangyu, et al.
Published: (2024) -
Automatic Bias Detection in Source Code Review
by: Alebachew, Yoseph Berhanu, et al.
Published: (2025) -
Game Plot Design with an LLM-powered Assistant: An Empirical Study with Game Designers
by: Alavi, Seyed Hossein, et al.
Published: (2024) -
Bug Detective and Quality Coach: Developers' Mental Models of AI-Assisted IDE Tools
by: Buono, Paolo, et al.
Published: (2025) -
Bridging the Interpretation Gap in Accessibility Testing: Empathetic and Legal-Aware Bug Report Generation via Large Language Models
by: Koyama, Ryoya, et al.
Published: (2026)