3 papers
cs.SE2026
DragonCrawl: A Generative, Intent-Based Framework for Scalable Mobile End-to-End Testing
Sowjanya Puligadda, Mengdie Zhang, Ali Zamani +3
As mobile applications grow in complexity, traditional End-to-End (E2E) testing frameworks struggle with UI volatility, maintenance overhead, and cross-platform scalability. This p…
cs.SE2026
Scaling Mobile Chaos Testing with AI-Driven Test Execution
Juan Marcano, Ashish Samant, Kai Song +9
Mobile applications in large-scale distributed systems are susceptible to backend service failures, yet traditional chaos engineering approaches cannot scale mobile testing due to…
cs.DC2026
Uber's Failover Architecture: Reconciling Reliability and Efficiency in Hyperscale Microservice Infrastructure
Mayank Bansal, Milind Chabbi, Kenneth Bogh +20
Operating a global, real-time platform at Uber's scale requires infrastructure that is both resilient and cost-efficient. Historically, reliability was ensured through a costly 2x…