most citedSkill-Adpative Imitation Learning for UI Test Reuse

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

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…

cs.AI2025

Data and System Perspectives of Sustainable Artificial Intelligence

Tao Xie, David Harel, Dezhi Ran +11

Sustainable AI is a subfield of AI for concerning developing and using AI systems in ways of aiming to reduce environmental impact and achieve sustainability. Sustainable AI is inc…

cs.SE2025

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model

Hao Yu, Tianyu Chen, Jiaming Huang +8

Recently, given the docstring for the target problem and the target function signature, large language models (LLMs) have been used not only to generate source code, but also to ge…

cs.SE2025

An Infrastructure Software Perspective Toward Computation Offloading between Executable Specifications and Foundation Models

Dezhi Ran, Mengzhou Wu, Yuan Cao +3

Foundation Models (FMs) have become essential components in modern software systems, excelling in tasks such as pattern recognition and unstructured data processing. However, their…

cs.SE20241 cited

Skill-Adpative Imitation Learning for UI Test Reuse

Mengzhou Wu, Hao Wang, Jun Ren +7

To alleviate the substantial cost of manually crafting user interface (UI) test cases, UI test migration aims to automatically generate test cases for a target mobile application (…