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From the 1 of 11 linked papers with an AI index.

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cs.SE2026

BackendForge: Benchmarking Agentic End-to-End Code Generation with Backend Services

Yuzhe Guo, Mengzhou Wu, Yuan Cao +4

The paper presents BackendForge, a benchmark that evaluates how well agentic large language models can generate complete, deployable backend services from OpenAPI specifications, u…

cs.SE2026

Understanding Automated Web GUI Testing: An Empirical Study Across Exploration Strategies and State Abstractions

Chenxu Liu, Wei Yang, Ying Zhang +1

Automated web GUI testing (AWGT) relies on exploration strategies that exercise web applications through GUI actions to maximize code coverage, spanning traditional model-based, re…

cs.SE2026

Synthesizing File-Level Data for Unit Test Generation with Chain-of-Thoughts via Self-Debugging

Ziyue Hua, Tianyu Chen, Yeyun Gong +8

Automatic unit test (UT) generation is essential for software quality assurance, but existing approaches--including symbolic execution, search-based approaches, and recent LLM-base…

cs.SE2025

From User Interface to Agent Interface: Efficiency Optimization of UI Representations for LLM Agents

Dezhi Ran, Zhi Gong, Yuzhe Guo +10

While Large Language Model (LLM) agents show great potential for automated UI navigation such as automated UI testing and AI assistants, their efficiency has been largely overlooke…

cs.SE2025

AppForge: From Assistant to Independent Developer -- Are GPTs Ready for Software Development?

Dezhi Ran, Yuan Cao, Mengzhou Wu +10

Large language models (LLMs) have demonstrated remarkable capability in function-level code generation tasks. Unlike isolated functions, real-world applications demand reasoning ov…

cs.SE2025

Beyond Pass or Fail: Multi-Dimensional Benchmarking of Foundation Models for Goal-based Mobile UI Navigation

Dezhi Ran, Mengzhou Wu, Hao Yu +15

Recent advances of foundation models (FMs) have made navigating mobile applications (apps) based on high-level goal instructions within reach, with significant industrial applicati…