Measuring and evaluating source code similarity is a fundamental software engineering
activity that embraces a broad range of applications, including but not limited to code …

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

Context Bad smells negatively impact software quality metrics such as understandability,
reusability, and maintainability. Reduced costs and enhanced software quality can be …

For decades, much software engineering research has been dedicated to devising
automated solutions aimed at enhancing developer productivity and elevating software …

Siamese network has obtained growing attention in real-life applications. In this survey, we
present an comprehensive review on Siamese network from the aspects of methodologies …

Detecting semantically similar binary functions–a crucial capability with broad security
usages including vulnerability detection, malware analysis, and forensics–requires …

During software development, developers introduce code clones by reusing existing code to
improve programming productivity. Considering the detrimental effects on software …

Recent studies have shown that high-quality code semantics learning can effectively
improve the performance of code clone detection. However, existing approaches suffer from …

Code intelligence leverages machine learning techniques to extract knowledge from
extensive code corpora, with the aim of developing intelligent tools to improve the quality …

Abstract syntax trees (ASTs) play a crucial role in source code representation. However, due
to the large number of nodes in an AST and the typically deep AST hierarchy, it is …