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Software testing with large language models: Survey, landscape, and vision
Pre-trained large language models (LLMs) have recently emerged as a breakthrough
technology in natural language processing and artificial intelligence, with the ability to …
technology in natural language processing and artificial intelligence, with the ability to …
A survey on deep learning for software engineering
In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)”
and an improved model training method to break the bottleneck of neural network …
and an improved model training method to break the bottleneck of neural network …
Make llm a testing expert: Bringing human-like interaction to mobile gui testing via functionality-aware decisions
Automated Graphical User Interface (GUI) testing plays a crucial role in ensuring app quality,
especially as mobile applications have become an integral part of our daily lives. Despite …
especially as mobile applications have become an integral part of our daily lives. Despite …
Fill in the blank: Context-aware automated text input generation for mobile gui testing
Automated GUI testing is widely used to help ensure the quality of mobile apps. However,
many GUIs require appropriate text inputs to proceed to the next page, which remains a …
many GUIs require appropriate text inputs to proceed to the next page, which remains a …
Llm for test script generation and migration: Challenges, capabilities, and opportunities
This paper investigates the application of large language models (LLM) in the domain of
mobile application test script generation. Test script generation is a vital component of …
mobile application test script generation. Test script generation is a vital component of …
Testing the limits: Unusual text inputs generation for mobile app crash detection with large language model
Mobile applications have become a ubiquitous part of our daily life, providing users with
access to various services and utilities. Text input, as an important interaction channel …
access to various services and utilities. Text input, as an important interaction channel …
Automatic web testing using curiosity-driven reinforcement learning
Web testing has long been recognized as a notoriously difficult task. Even nowadays, web
testing still mainly relies on manual efforts in many cases while automated web testing is still …
testing still mainly relies on manual efforts in many cases while automated web testing is still …
Chatting with gpt-3 for zero-shot human-like mobile automated gui testing
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 …
Interface) testing is widely used for app quality assurance. There is a growing interest in …
Benchmarking automated gui testing for android against real-world bugs
For ensuring the reliability of Android apps, there has been tremendous, continuous
progress on improving automated GUI testing in the past decade. Specifically, dozens of …
progress on improving automated GUI testing in the past decade. Specifically, dozens of …
Deep learning-based software engineering: progress, challenges, and opportunities
Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …
which in turn has substantially advanced other research disciplines, such as natural …