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 …

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 …

Reusing off-the-shelf code snippets from online repositories is a common practice, which
significantly enhances the productivity of software developers. To find desired code …

Bad smells in code are indications of low code quality representing potential threats to the
maintainability and reusability of software. Code clone is a type of bad smells caused by …

Source code clones are common in software development as part of reuse practice.
However, they are also often a source of errors compromising software maintainability. The …

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

JVM testing is one of the most widely-used methodologies for guaranteeing the quality of
JVMs. Among various JVM testing techniques, synthesis-based JVM testing, which …

Context: Research related to code clones includes detection of clones in software systems,
analysis, visualization and management of clones. Detection of semantic clones and …

Context: Code smells are well-known concepts in Object-Oriented (OO) programs as
symptoms that negatively impact software quality and cause long-term issues. However, the …