GUITester: Enabling GUI Agents for Exploratory Defect Discovery

GUITester: Enabling GUI Agents for Exploratory Defect Discovery | Signal Canvas | ScienceToStartup

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Signal Canvas proof surface

Canonical route: /signal-canvas/guitester-enabling-gui-agents-for-exploratory-defect-discovery

stale

Proof freshness: stale
Proof status: unverified
Display score: 8/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

Canonical ID guitester-enabling-gui-agents-for-exploratory-defect-discovery | Route /signal-canvas/guitester-enabling-gui-agents-for-exploratory-defect-discovery

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/guitester-enabling-gui-agents-for-exploratory-defect-discovery

MCP example

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}

source_context

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Evidence Receipt

Route status: building

Claims: 8

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: GUITester: Enabling GUI Agents for Exploratory Defect Discovery

PDF: https://arxiv.org/pdf/2601.04500v1

Source count: Pending verification

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

Signal Canvas receipt window

Watch and verify: GUITester: Enabling GUI Agents for Exploratory Defect Discovery

/buildability/guitester-enabling-gui-agents-for-exploratory-defect-discovery

Watchwatch

Subject: GUITester: Enabling GUI Agents for Exploratory Defect Discovery

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
While Multi-modal Large Language Model (MLLM) agents excel in navigation, they fail to autonomously discover defects due to two core challenges: \textit{Goal-Oriented Masking}, where agents prioritize task completion over reporting anomalies, and \textit{Execution-Bias Attribution}, where system defects are misidentified as agent errors.
Implicationpartial
Directly stated in the abstract as the core problem being addressed, with specific challenges named.
Verificationpartial
partial
Evidencepartial
we first introduce \textbf{GUITestBench}, the first interactive benchmark for this task, featuring 143 tasks across 26 defects.
Implicationpartial
Explicitly and directly stated in the abstract with specific numeric details.
Verificationpartial
partial
Evidencepartial
We then propose \textbf{GUITester}, a multi-agent framework that decouples navigation from verification via two modules: (i) a \textit{Planning-Execution Module (PEM)} that proactively probes for defects via embedded testing intents, and (ii) a \textit{Hierarchical Reflection Module (HRM)} that resolves attribution ambiguity through interaction history analysis.
Implicationpartial
Directly stated in the abstract as the proposed solution's core architecture.
Verificationpartial
partial
Evidencepartial
GUITester achieves an F1-score of 48.90\% (Pass@3) on GUITestBench, outperforming state-of-the-art baselines (33.35\%).
Implicationpartial
Explicitly stated in the abstract with clear numeric results and comparison.
Verificationpartial
partial
Evidencepartial
a \textit{Planning-Execution Module (PEM)} that proactively probes for defects via embedded testing intents
Implicationpartial
Directly stated in the abstract as a specific function of the PEM module.
Verificationpartial
partial
Evidencepartial
a \textit{Hierarchical Reflection Module (HRM)} that resolves attribution ambiguity through interaction history analysis.
Implicationpartial
Directly stated in the abstract as a specific function of the HRM module.
Verificationpartial
partial
Evidencepartial
Our work demonstrates the feasibility of autonomous exploratory testing
Implicationpartial
Directly stated in the abstract as a conclusion, though 'feasibility' is a broad claim supported by the presented results.
Verificationpartial
partial
Evidencepartial
Exploratory GUI testing is essential for software quality but suffers from high manual costs.
Implicationpartial
Directly stated in the abstract as the foundational motivation for the work.
Verificationpartial
partial

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GUITester: Enabling GUI Agents for Exploratory Defect Discovery

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