Frameworks and libraries offer reusable and customizable functionality through Application
Programming Interfaces (APIs). Correctly using large and sophisticated APIs can represent a …

Despite the successes of machine learning (ML) and deep learning (DL)-based vulnerability
detectors (VD), they are limited to providing only the decision on whether a given code is …

Software defect prediction, which predicts defective code regions, can help developers find
bugs and prioritize their testing efforts. To build accurate prediction models, previous studies …

Patch generation is an essential software maintenance task because most software systems
inevitably have bugs that need to be fixed. Unfortunately, human resources are often …

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

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 …

Programmers often write code that has similarity to existing code written somewhere. A tool
that could help programmers to search such similar code would be immensely useful. Such …

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

Assessing the similarity between code components plays a pivotal role in a number of
Software Engineering (SE) tasks, such as clone detection, impact analysis, refactoring, etc …

Word2Vec is a class of neural network models that as being trainedfrom a large corpus of
texts, they can produce for each unique word acorresponding vector in a continuous space …