This paper provides a comprehensive review of the literature concerning the utilization of
Natural Language Processing (NLP) techniques, with a particular focus on transformer …

Research at the intersection of machine learning, programming languages, and software
engineering has recently taken important steps in proposing learnable probabilistic models …

Software security vulnerabilities are one of the critical issues in the realm of computer
security. Due to their potential high severity impacts, many different approaches have been …

Bug detection has been shown to be an effective way to help developers in detecting bugs
early, thus, saving much effort and time in software development process. Recently, deep …

Every programmer has a characteristic style, ranging from preferences about identifier
naming to preferences about object relationships and design patterns. Coding conventions …

Real software, the kind working programmers produce by the kLOC to solve real-world
problems, tends to be" natural", like speech or natural language; it tends to be highly …

Programmers often consult an online Q&A forum such as Stack Overflow to learn new APIs.
This paper presents an empirical study on the prevalence and severity of API misuse on …

n-gram statistical language model has been successfully applied to capture programming
patterns to support code completion and suggestion. However, the approaches using n …

How do we know a program does what it claims to do? After clustering Android apps by their
description topics, we identify outliers in each cluster with respect to their API usage. A" …

To improve software productivity, when constructing new software systems, programmers
often reuse existing libraries or frameworks by invoking methods provided in their APIs …