Traditional quantitative research methods of data collection in programming, such as
questionnaires and interviews, are the most common approaches for researchers in this …

Neural source code summarization is the task of generating natural language descriptions of
source code behavior using neural networks. A fundamental component of most neural …

Neural code summarization leverages deep learning models to automatically generate brief
natural language summaries of code snippets. The development of Transformer models has …

A directed multigraph is said to be d-regular if the indegree and outdegree of every vertex is
exactly d. By Hall's theorem, one can represent such a multigraph as a combination of at …

Background: The way how programmers comprehend source code depends on several
factors, including the source code itself and the programmer. Recent studies showed that …

Regular code, which includes repetitions of the same basic pattern, has been shown to have
an effect on code comprehension: a regular function can be just as easy to comprehend as a …

Previous studies on writing and understanding programs presented evidence that
programmers beyond a novice stage utilize plans or plan-like structures. Other studies on …

An eye-tracking study of 18 developers reading and summarizing Java methods is
presented. The developers provide a written summary for methods assigned to them. In total …

Code summarization is the task of creating short, natural language descriptions of source
code. It is an important part of code comprehension, and a powerful method of …

Eye movements of developers are used to speculate the mental cognition model (ie, bottom-
up or top-down) applied during program comprehension tasks. The cognition models …