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20182023
most citedDeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems

591 citations · 1.4k across the 35 of their papers we have counts for

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Showing 2023 · cs.SEShow all

6 papers · 2 filters

cs.SE2023

Towards Efficient Record and Replay: A Case Study in WeChat

Sidong Feng, Haochuan Lu, Ting Xiong +2

WeChat, a widely-used messenger app boasting over 1 billion monthly active users, requires effective app quality assurance for its complex features. Record-and-replay tools are cru…

cs.SE2023

Automated and Context-Aware Repair of Color-Related Accessibility Issues for Android Apps

Yuxin Zhang, Sen Chen, Lingling Fan +2

Approximately 15% of the world's population is suffering from various disabilities or impairments. However, many mobile UX designers and developers disregard the significance of ac…

cs.SE2023★ 28 cited

Software Testing with Large Language Models: Survey, Landscape, and Vision

Junjie Wang, Yuchao Huang, Chunyang Chen +3

Pre-trained large language models (LLMs) have recently emerged as a breakthrough technology in natural language processing and artificial intelligence, with the ability to handle l…

cs.SE2023★ 10 cited

Prompting Is All You Need: Automated Android Bug Replay with Large Language Models

Sidong Feng, Chunyang Chen

Bug reports are vital for software maintenance that allow users to inform developers of the problems encountered while using the software. As such, researchers have committed consi…

cs.SE2023★ 17 cited

Chatting with GPT-3 for Zero-Shot Human-Like Mobile Automated GUI Testing

Zhe Liu, Chunyang Chen, Junjie Wang +5

Mobile apps are indispensable for people's daily life, and automated GUI (Graphical User Interface) testing is widely used for app quality assurance. There is a growing interest in…

cs.SE2023

Read It, Don't Watch It: Captioning Bug Recordings Automatically

Sidong Feng, Mulong Xie, Yinxing Xue +1

Screen recordings of mobile applications are easy to capture and include a wealth of information, making them a popular mechanism for users to inform developers of the problems enc…