Cover Image

Synergizing Code Coverage and Gameplay Intent: Coverage-Aware Game Playtesting with LLM-Guided Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mu, Enhong, Yoda, Minami, Zhang, Yan, Zhang, Mingyue, Matsuno, Yutaka, Li, Jialong
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards LLM-Based Automatic Playtest
by: Zhao, Yan, et al.
Published: (2025)

Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM
by: Ryan, Gabriel, et al.
Published: (2024)

Amplifiers or Equalizers? A Longitudinal Study of LLM Evolution in Software Engineering Project-Based Learning
by: Kataoka, Hana, et al.
Published: (2025)

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing
by: Wei, Zeming, et al.
Published: (2026)

InfCode-C++: Intent-Guided Semantic Retrieval and AST-Structured Search for C++ Issue Resolution
by: Dong, Qingao, et al.
Published: (2025)

From Context to Intent: Reasoning-Guided Function-Level Code Completion
by: Li, Yanzhou, et al.
Published: (2025)

PALM: Synergizing Program Analysis and LLMs to Enhance Rust Unit Test Coverage
by: Chu, Bei, et al.
Published: (2025)

SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models
by: Cai, Jinyu, et al.
Published: (2025)

LLM-as-a-Judge for Scalable Test Coverage Evaluation: Accuracy, Operational Reliability, and Cost
by: Huang, Donghao, et al.
Published: (2025)

Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning
by: Yin, Shouyu, et al.
Published: (2026)

Assessing the Feasibility of Selective Instrumentation for Runtime Code Coverage in Large C++ Game Engines
by: Gauk, Ian, et al.
Published: (2026)

SpecRover: Code Intent Extraction via LLMs
by: Ruan, Haifeng, et al.
Published: (2024)

Reinforcement Learning-Based REST API Testing with Multi-Coverage
by: Nguyen, Tien-Quang, et al.
Published: (2024)

FLARE: Agentic Coverage-Guided Fuzzing for LLM-Based Multi-Agent Systems
by: Hui, Mingxuan, et al.
Published: (2026)

Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey
by: Guo, Hongjing, et al.
Published: (2025)

AndroLog: Android Instrumentation and Code Coverage Analysis
by: Samhi, Jordan, et al.
Published: (2024)

Causal Inference for the Effect of Code Coverage on Bug Introduction
by: Schulte, Lukas, et al.
Published: (2026)

LocAgent: Graph-Guided LLM Agents for Code Localization
by: Chen, Zhaoling, et al.
Published: (2025)

Metamorphic Coverage
by: Ba, Jinsheng, et al.
Published: (2025)

SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation
by: Oliva, Gustavo A., et al.
Published: (2025)

Klear-CodeTest: Scalable Test Case Generation for Code Reinforcement Learning
by: Fu, Jia, et al.
Published: (2025)

Evaluating the Effectiveness of Coverage-Guided Fuzzing for Testing Deep Learning Library APIs
by: Qin, Feiran, et al.
Published: (2025)

Reinforcement Learning-Guided Chain-of-Draft for Token-Efficient Code Generation
by: Tang, Xunzhu, et al.
Published: (2025)

FuzzAug: Data Augmentation by Coverage-guided Fuzzing for Neural Test Generation
by: He, Yifeng, et al.
Published: (2024)

Who Tests the Testers? Systematic Enumeration and Coverage Audit of LLM Agent Tool Call Safety
by: Chen, Xuan, et al.
Published: (2026)

Efficient Incremental Code Coverage Analysis for Regression Test Suites
by: Wang, Jiale Amber, et al.
Published: (2024)

Process-Supervised Reinforcement Learning for Code Generation
by: Ye, Yufan, et al.
Published: (2025)

Requirements Coverage-Guided Minimization for Natural Language Test Cases
by: Pan, Rongqi, et al.
Published: (2025)

AFLNet Five Years Later: On Coverage-Guided Protocol Fuzzing
by: Meng, Ruijie, et al.
Published: (2024)

WuppieFuzz: Coverage-Guided, Stateful REST API Fuzzing
by: Rooijakkers, Thomas, et al.
Published: (2025)

LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
by: Islam, Nafis Tanveer, et al.
Published: (2024)

Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs
by: Chen, Yujia, et al.
Published: (2026)

TraceCoder: A Trace-Driven Multi-Agent Framework for Automated Debugging of LLM-Generated Code
by: Huang, Jiangping, et al.
Published: (2026)

NQC2: A Non-Intrusive QEMU Code Coverage Plugin
by: Bosbach, Nils, et al.
Published: (2026)

Advancing Code Coverage: Incorporating Program Analysis with Large Language Models
by: Yang, Chen, et al.
Published: (2024)

FuzzWiz -- Fuzzing Framework for Efficient Hardware Coverage
by: Gadde, Deepak Narayan, et al.
Published: (2024)

CVeDRL: An Efficient Code Verifier via Difficulty-aware Reinforcement Learning
by: Shi, Ji, et al.
Published: (2026)

ProxyWar: Dynamic Assessment of LLM Code Generation in Game Arenas
by: Peng, Wenjun, et al.
Published: (2026)

Revisiting "Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion": A Critical Review and Implications on DNN Coverage Testing
by: Kim, Jinhan, et al.
Published: (2026)

NeuroSync: Intent-Aware Code-Based Problem Solving via Direct LLM Understanding Modification
by: Zhang, Wenshuo, et al.
Published: (2025)