Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

Recent software advances have led to an expansion of the development and usage of
application programming interfaces (APIs). From millions of Android packages (APKs) …

There are increasing uses of deep learning (DL) compilers to generate optimized code,
boosting the runtime performance of DL models on specific hardware. Like their traditional …

The performance of neural code search is significantly influenced by the quality of the
training data from which the neural models are derived. A large corpus of high-quality query …

Abstract Large Language Models (LLMs) for code have gained significant attention recently.
They can generate code in different programming languages based on provided prompts …

Partial code usually involves non-fully-qualified type names (non-FQNs) and undeclared
receiving objects. Resolving the FQNs of these non-FQN types and undeclared receiving …

Cryptographic API misuses, such as exposed secrets, predictable random numbers, and
vulnerable certificate verification, seriously threaten software security. The vision of …

Recently, the large language models (LLMs) have shown extraordinary ability in
understanding natural language and generating programming code. It has been a common …

As researchers today, we are witnessing a fundamental change in our technologically-
enabled world due to the advent and diffusion of highly disruptive technologies such as …

Mobile mini-programs in WeChat have gained significant popularity since their debut in
2017, reaching a scale similar to that of Android apps in the Play Store. Like Google …