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Are Autonomous Web Agents Good Testers?

https://doi.org/10.1145/3728879
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/stvr.1760openalex-snapshot
Generating and selecting resilient and maintainable locators for Web automated testing
inferredcites →https://doi.org/10.1007/978-1-4615-4625-2openalex-snapshot
Experimentation in Software Engineering
inferredcites →https://doi.org/10.1007/978-3-030-74296-6_29openalex-snapshot
An Improving Approach for DOM-Based Web Test Suite Repair
inferredcites →https://doi.org/10.1007/978-3-031-70245-7_10openalex-snapshot
Exploring Browser Automation: A Comparative Study of Selenium, Cypress, Puppeteer, and Playwright
inferredcites →https://doi.org/10.1007/978-3-319-08245-5_19openalex-snapshot
Visual vs. DOM-Based Web Locators: An Empirical Study
inferredcites →https://doi.org/10.1007/s11704-024-40231-1openalex-snapshot
A survey on large language model based autonomous agents
inferredcites →https://doi.org/10.1016/b978-0-12-804206-9.00027-1openalex-snapshot
Card-sorting
inferredcites →https://doi.org/10.1016/bs.adcom.2018.10.005openalex-snapshot
Three Open Problems in the Context of E2E Web Testing and a Vision: NEONATE
inferredcites →https://doi.org/10.1016/j.infsof.2021.106754openalex-snapshot
Erratum: Leveraging Flexible Tree Matching to repair broken locators in web automation scripts
inferredcites →https://doi.org/10.1016/s1389-1286(00)00073-6openalex-snapshot
Automating Web navigation with the WebVCR
inferredcites →https://doi.org/10.1109/ase56229.2023.00148openalex-snapshot
Towards Autonomous Testing Agents via Conversational Large Language Models
inferredcites →https://doi.org/10.1109/dsn.2011.5958253openalex-snapshot
WaRR: A tool for high-fidelity web application record and replay
inferredcites →https://doi.org/10.1109/icst.2015.7102611openalex-snapshot
Using Multi-Locators to Increase the Robustness of Web Test Cases
inferredcites →https://doi.org/10.1109/icst.2016.16openalex-snapshot
Why do Record/Replay Tests of Web Applications Break?
inferredcites →https://doi.org/10.1109/icst57152.2023.00039openalex-snapshot
Challenges of End-to-End Testing with Selenium WebDriver and How to Face Them: A Survey
inferredcites →https://doi.org/10.1109/issrew.2014.17openalex-snapshot
Reducing Web Test Cases Aging by Means of Robust XPath Locators
inferredcites →https://doi.org/10.1109/qrs60937.2023.00029openalex-snapshot
LLM for Test Script Generation and Migration: Challenges, Capabilities, and Opportunities
inferredcites →https://doi.org/10.1109/tse.2024.3368208openalex-snapshot
Software Testing With Large Language Models: Survey, Landscape, and Vision
inferredcites →https://doi.org/10.1145/2668930.2688819openalex-snapshot
How to Build a Benchmark
inferredcites →https://doi.org/10.1145/2950290.2950294openalex-snapshot
WATERFALL: an incremental approach for repairing record-replay tests of web applications
inferredcites →https://doi.org/10.1145/3236024.3236063openalex-snapshot
Visual web test repair
inferredcites →https://doi.org/10.1145/3368089.3417069openalex-snapshot
WebRR: self-replay enhanced robust record/replay for web application testing
inferredcites →https://doi.org/10.1145/3597503.3639180openalex-snapshot
Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions
inferredcites →https://doi.org/10.1145/3637528.3671620openalex-snapshot
AutoWebGLM: A Large Language Model-based Web Navigating Agent
inferredcites →https://doi.org/10.1145/3640794.3665887openalex-snapshot
Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agents
inferredcites →https://doi.org/10.1145/3661167.3661179openalex-snapshot
Towards Predicting Fragility in End-to-End Web Tests
inferredcites →https://doi.org/10.1145/3691620.3695529openalex-snapshot
On the Evaluation of Large Language Models in Unit Test Generation
inferredcites →https://doi.org/10.1145/3748302openalex-snapshot
A Survey on the Memory Mechanism of Large Language Model-based Agents
inferredcites →https://doi.org/10.1609/aaai.v38i2.27878openalex-snapshot
WebVLN: Vision-and-Language Navigation on Websites
inferredcites →https://doi.org/10.1609/aaai.v39i22.34505openalex-snapshot
WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.270openalex-snapshot
Don’t Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments
inferredcites →https://doi.org/10.18653/v1/2024.acl-demosopenalex-snapshot
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
inferredcites →https://doi.org/10.2105/ajph.89.8.1175openalex-snapshot
The right answer for the wrong question: consequences of type III error for public health research.
inferredcites →https://doi.org/10.23919/cisti.2019.8760848openalex-snapshot
Comparing the effort and effectiveness of automated and manual tests
inferredcites →https://doi.org/10.26599/fshw.2022.9250199openalex-snapshot
Insights into the enhancement of food flavor perception: strategies, mechanism and emulsion applications
inferredcites →https://doi.org/10.48550/arxiv.2201.11903openalex-snapshot
BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence
inferredcites →https://doi.org/10.48550/arxiv.2307.13854openalex-snapshot
Autonomous Tester Agent Benchmark
inferredcites →https://doi.org/10.48550/arxiv.2310.11441openalex-snapshot
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
inferredcites →https://doi.org/10.48550/arxiv.2401.13919openalex-snapshot
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
inferredcites →https://doi.org/10.48550/arxiv.2404.06411openalex-snapshot
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents
inferredcites →https://doi.org/10.48550/arxiv.2410.10934openalex-snapshot
Agent-as-a-Judge: Evaluate Agents with Agents
inferredcites →https://doi.org/10.48550/arxiv.2501.12326openalex-snapshot
UI-TARS: Pioneering Automated GUI Interaction with Native Agents
inferredcites →https://doi.org/10.52202/075280-1220openalex-snapshot
Mind2Web: Towards a Generalist Agent for the Web
inferredcites →https://doi.org/10.52202/085713-0315openalex-snapshot
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-16797-2_8openalex-snapshot
Quality Assurance
inferred← citeshttps://doi.org/10.1007/978-3-032-28316-0_15openalex-snapshot
A Design Taxonomy for GUI-Based Test Automation
inferred← citeshttps://doi.org/10.1007/978-3-032-36590-3_24openalex-snapshot
E2E Test Generation Over a Source-Code-Derived Workflow Space: An Angular Case Study
inferred← citeshttps://doi.org/10.1109/access.2026.3729738openalex-snapshot
LLM-Based Test Oracles: Source-of-Authority Taxonomy—A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/icecet65726.2026.11632869openalex-snapshot
Agent-Orchestrated Autonomous Validation for Large-Scale Enterprise Systems
inferred← citeshttps://doi.org/10.1109/icsme64153.2025.00104openalex-snapshot
XTestGen: Natural Language to Maintainable E2E Test Scripts with LLMs
inferred← citeshttps://doi.org/10.1145/3797115openalex-snapshot
WebTestPilot: Agentic End-to-End Web Testing against Natural Language Specification by Inferring Oracles with Symbolized GUI Elements
inferred← citeshttps://doi.org/10.1145/3803437.3805548openalex-snapshot
Reproducible, Explainable, and Effective Evaluations of Agentic AI for Software Engineering
inferred← citeshttps://doi.org/10.3389/fcomp.2026.1936730openalex-snapshot
Software quality assurance in the era of Agentic AI: a systematic mapping study
inferred← citeshttps://doi.org/10.7717/peerj-cs.3695openalex-snapshot
A process-centric review of large language models in graphical user interface testing: architectures, lifecycle impact, and challenges
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