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

Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …

Generating a readable summary that describes the functionality of a program is known as
source code summarization. In this task, learning code representation by modeling the …

Very large language models (LLMs), such as GPT-3 and Codex have achieved state-of-the-
art performance on several natural-language tasks, and show great promise also for code. A …

Automatic source code summarization is the task of generating natural language
descriptions for source code. Automatic code summarization is a rapidly expanding research …

During software maintenance, code comments help developers comprehend programs and
reduce additional time spent on reading and navigating source code. Unfortunately, these …

Recent years have seen the successful application of large pre-trained models to code
representation learning, resulting in substantial improvements on many code-related …

Code summarization provides a high level natural language description of the function
performed by code, as it can benefit the software maintenance, code categorization and …

Source code summarization involves creating brief descriptions of source code in natural
language. These descriptions are a key component of software documentation such as …

High quality source code is often paired with high level summaries of the computation it
performs, for example in code documentation or in descriptions posted in online forums …