Copertina

CA2: Code-Aware Agent for Automated Game Testing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Adaikkappan, Valliappan Chidambaram, Martineau, Vincent, Romoff, Joshua, Meger, David
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Software Engineering Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning
di: Adaikkappan, Valliappan Chidambaram, et al.
Pubblicazione: (2026)

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

PrismaDV: Automated Task-Aware Data Unit Test Generation
di: Chen, Hao, et al.
Pubblicazione: (2026)

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

Automated Cloud Infrastructure-as-Code Reconciliation with AI Agents
di: Yang, Zhenning, et al.
Pubblicazione: (2025)

Automated Trustworthiness Testing for Machine Learning Classifiers
di: Cho, Steven, et al.
Pubblicazione: (2024)

Bootstrapping Coding Agents: The Specification Is the Program
di: Monperrus, Martin
Pubblicazione: (2026)

Automating REST API Postman Test Cases Using LLM
di: Sri, S Deepika, et al.
Pubblicazione: (2024)

StructCoder: Structure-Aware Transformer for Code Generation
di: Tipirneni, Sindhu, et al.
Pubblicazione: (2022)

Detecting Proxy Gaming in RL and LLM Alignment via Evaluator Stress Tests
di: Shihab, Ibne Farabi, et al.
Pubblicazione: (2025)

Enabling Global, Human-Centered Explanations for LLMs:From Tokens to Interpretable Code and Test Generation
di: Khati, Dipin, et al.
Pubblicazione: (2025)

Constrained Adversarial Learning for Automated Software Testing: a literature review
di: Vitorino, João, et al.
Pubblicazione: (2023)

AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design
di: Junior, Francisco Erivaldo Fernandes, et al.
Pubblicazione: (2024)

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach
di: Kaur, Khushdeep, et al.
Pubblicazione: (2025)

SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents
di: Mündler, Niels, et al.
Pubblicazione: (2024)

SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution
di: Raghavendra, Mohit, et al.
Pubblicazione: (2026)

K-ASTRO: Structure-Aware Adaptation of LLMs for Code Vulnerability Detection
di: Zhang, Yifan, et al.
Pubblicazione: (2022)

Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing
di: Chen, Boyuan, et al.
Pubblicazione: (2024)

GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
di: Wu, Jie JW, et al.
Pubblicazione: (2025)

ReCodeAgent: A Multi-Agent Workflow for Language-agnostic Translation and Validation of Large-scale Repositories
di: Ibrahimzada, Ali Reza, et al.
Pubblicazione: (2026)

MooseAgent: A LLM Based Multi-agent Framework for Automating Moose Simulation
di: Zhang, Tao, et al.
Pubblicazione: (2025)

QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization
di: Ke, Changxin, et al.
Pubblicazione: (2026)

ReVeal: Self-Evolving Code Agents via Reliable Self-Verification
di: Jin, Yiyang, et al.
Pubblicazione: (2025)

DocAgent: A Multi-Agent System for Automated Code Documentation Generation
di: Yang, Dayu, et al.
Pubblicazione: (2025)

Can Coding Agents Be General Agents?
di: Ivanov, Maksim, et al.
Pubblicazione: (2026)

MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair
di: Ibrahimzada, Ali Reza, et al.
Pubblicazione: (2025)

Risk-Aware Batch Testing for Performance Regression Detection
di: Sayedsalehi, Ali, et al.
Pubblicazione: (2026)

A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher?
di: Awal, Md. Abdul, et al.
Pubblicazione: (2025)

Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation
di: Jacopin, Éric
Pubblicazione: (2026)

Cataloguing Hugging Face Models to Software Engineering Activities: Automation and Findings
di: González, Alexandra, et al.
Pubblicazione: (2025)

Code Generation by Differential Test Time Scaling
di: He, Yifeng, et al.
Pubblicazione: (2026)

Leveraging LLM Agents for Automated Video Game Testing
di: Wang, Chengjia, et al.
Pubblicazione: (2025)

Calibration and Correctness of Language Models for Code
di: Spiess, Claudio, et al.
Pubblicazione: (2024)

On the Impact of Code Comments for Automated Bug-Fixing: An Empirical Study
di: Vitale, Antonio, et al.
Pubblicazione: (2026)

Automating Code Adaptation for MLOps -- A Benchmarking Study on LLMs
di: Patel, Harsh, et al.
Pubblicazione: (2024)

Automating Benchmark Design
di: Dsouza, Amanda, et al.
Pubblicazione: (2025)

CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs
di: Mathai, Alex, et al.
Pubblicazione: (2024)

SemRep: Generative Code Representation Learning with Code Transformations
di: Li, Weichen, et al.
Pubblicazione: (2026)

SceneGenAgent: Precise Industrial Scene Generation with Coding Agent
di: Xia, Xiao, et al.
Pubblicazione: (2024)

A Theoretical Analysis of Test-Driven Code Generation
di: Menet, Nicolas, et al.
Pubblicazione: (2026)