Large Language Models (LLMs) have significantly impacted numerous domains, notably
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …

Since 2009, the deep learning revolution, which was triggered by the introduction of
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …

To implement a program functionality, developers can reuse previously written code
snippets by searching through a large-scale codebase. Over the years, many code search …

Natural language elements in source code, eg, the names of variables and functions,
convey useful information. However, most existing bug detection tools ignore this …

Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

The role of sentiment analysis is increasingly emerging to study software developers'
emotions by mining crowd-generated content within software repositories and information …

This work is motivated by the pervasive use of method invocations in object-oriented (OO)
programs, and indeed their prevalence in patches of OO-program bugs. We propose a …

Developers often need to search for appropriate APIs for their programming tasks. Although
most libraries have API reference documentation, it is not easy to find appropriate APIs due …

Searching over large code corpora can be a powerful productivity tool for both beginner and
experienced developers because it helps them quickly find examples of code related to their …

JavaScript is dynamically typed and hence lacks the type safety of statically typed
languages, leading to suboptimal IDE support, difficult to understand APIs, and unexpected …