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AI framework DragonCrawl automates mobile end-to-end testing

By PulseAugur Editorial · [1 sources] ·

Researchers have developed DragonCrawl, an AI-driven framework designed to automate end-to-end testing for mobile applications. This system leverages GPT-4o's multimodal capabilities to validate specific user flows, significantly reducing test onboarding time and maintenance effort. DragonCrawl has demonstrated high pass rates on both iOS and Android platforms within CI/CD pipelines, addressing the challenges of UI volatility and scalability faced by traditional testing methods. AI

IMPACT This framework could significantly reduce development cycles by automating and improving the reliability of mobile application testing.

RANK_REASON The item is a research paper detailing a new AI-driven framework for mobile testing. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI framework DragonCrawl automates mobile end-to-end testing

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sowjanya Puligadda, Mengdie Zhang, Ali Zamani, Dhruva Dixith Kurra, Eric Chen, Juan Marcano ·

    DragonCrawl: A Generative, Intent-Based Framework for Scalable Mobile End-to-End Testing

    arXiv:2607.28750v1 Announce Type: cross Abstract: As mobile applications grow in complexity, traditional End-to-End (E2E) testing frameworks struggle with UI volatility, maintenance overhead, and cross-platform scalability. This paper presents DragonCrawl, an AI-driven mobile tes…

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