Zobrazeno 1 - 10
of 497
pro vyhledávání: '"Chen, Chunyang"'
Deploying DL models on mobile Apps has become ever-more popular. However, existing studies show attackers can easily reverse-engineer mobile DL models in Apps to steal intellectual property or generate effective attacks. A recent approach, Model Obfu
Externí odkaz:
http://arxiv.org/abs/2410.15033
In recent years, large language models (LLMs) have seen rapid advancements, significantly impacting various fields such as natural language processing, and software engineering. These LLMs, exemplified by OpenAI's ChatGPT, have revolutionized the way
Externí odkaz:
http://arxiv.org/abs/2408.05002
Unit testing is an essential component of software testing, with the assert statements playing an important role in determining whether the tested function operates as expected. Although research has explored automated test case generation, generatin
Externí odkaz:
http://arxiv.org/abs/2407.21429
Autor:
Wang, Dingbang, Zhao, Yu, Feng, Sidong, Zhang, Zhaoxu, Halfond, William G. J., Chen, Chunyang, Sun, Xiaoxia, Shi, Jiangfan, Yu, Tingting
In software development, bug report reproduction is a challenging task. This paper introduces ReBL, a novel feedback-driven approach that leverages GPT-4, a large-scale language model (LLM), to automatically reproduce Android bug reports. Unlike trad
Externí odkaz:
http://arxiv.org/abs/2407.05165
Autor:
Liu, Zhe, Li, Cheng, Chen, Chunyang, Wang, Junjie, Wu, Boyu, Wang, Yawen, Hu, Jun, Wang, Qing
With the advancement of software rendering techniques, GUI pages in mobile apps now encompass a wealth of visual information, where the visual semantics of each page contribute to the overall app logic, presenting new challenges to software testing.
Externí odkaz:
http://arxiv.org/abs/2407.03037
Finetuning language models (LMs) is crucial for adapting the models to downstream data and tasks. However, full finetuning is usually costly. Existing work, such as parameter-efficient finetuning (PEFT), often focuses on \textit{how to finetune} but
Externí odkaz:
http://arxiv.org/abs/2406.11753
The importance of computational modeling of mobile user interfaces (UIs) is undeniable. However, these require a high-quality UI dataset. Existing datasets are often outdated, collected years ago, and are frequently noisy with mismatches in their vis
Externí odkaz:
http://arxiv.org/abs/2405.07090
Mobile apps are ubiquitous in our daily lives for supporting different tasks such as reading and chatting. Despite the availability of many GUI testing tools, app testers still struggle with low testing code coverage due to tools frequently getting s
Externí odkaz:
http://arxiv.org/abs/2404.19307
Mobile applications (apps) have become an essential part of our daily lives, making ensuring their quality an important activity. GUI testing, a quality assurance method, has frequently been used for mobile apps. When conducting GUI testing, it is im
Externí odkaz:
http://arxiv.org/abs/2404.08948
Autor:
Liu, Zhe, Chen, Chunyang, Wang, Junjie, Chen, Mengzhuo, Wu, Boyu, Huang, Yuekai, Hu, Jun, Wang, Qing
Mobile apps have become indispensable for accessing and participating in various environments, especially for low-vision users. Users with visual impairments can use screen readers to read the content of each screen and understand the content that ne
Externí odkaz:
http://arxiv.org/abs/2404.02706