Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …

Unit testing is essential in detecting bugs in functionally-discrete program units. Manually
writing high-quality unit tests is time-consuming and laborious. Although traditional …

Property-based testing (PBT), while an established technique in the software testing
research community, is still relatively underused in real-world software. Pain points in writing …

Unit testing plays an essential role in detecting bugs in functionally-discrete program units
(eg, methods). Manually writing high-quality unit tests is time-consuming and laborious …

Automated test generation can help developers craft high-quality software tests while
mitigating the manual effort needed for writing test code. Despite significant research efforts …

RESTful services are commonly documented using OpenAPI specifications. Although
numerous automated testing techniques have been proposed that leverage the machine …

Many popular programming languages, including C#, Java, and Python, support exceptions.
Exceptions are thrown during program execution if an unwanted event happens, eg, a …

Smart contracts are programs running on the blockchain. Comments in source code provide
meaningful information for developers to facilitate code writing and understanding. Given …

Automated library APIs testing is difficult as it requires exploring a vast space of parameter
inputs that may involve objects with complex data types. Existing search based approaches …

Automated unit test generation has been widely studied, with Large Language Models
(LLMs) recently showing significant potential. Moreover, in the context of unit test generation …