Static analysis (SA) tools can generate useful static warnings to reveal the problematic code
snippets in a software system without dynamically executing the corresponding source code …

We introduce SkipAnalyzer, the first large language model (LLM)-powered embodied agent
for static code analysis. It can detect bugs, filter false positive warnings, and patch the …

Previous work has shown that early resolution of issues detected by static code analyzers
can prevent major costs later on. However, developers often ignore such issues for two main …

Automatically generated static code warnings suffer from a large number of false alarms.
Hence, developers only take action on a small percent of those warnings. To better predict …

This paper conducted a novel study to explore the capabilities of ChatGPT, a state-of-the-art
LLM, in static analysis tasks such as static bug detection and false positive warning removal …

In recent years, maintaining test code quality has gained more attention due to increased
automation and the growing focus on issues caused during this process. Test code may …

Automatically generated static code warnings suffer from a large number of false alarms.
Hence, developers only take action on a small percent of those warnings. To better predict …

Security weaknesses in web applications deployed in cloud architectures can seriously
affect its data confidentiality and integrity. The construction of the procedure utilized in the …