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20202025
most citedEyeTrans: Merging Human and Machine Attention for Neural Code Summarization

20 citations · 70 across the 16 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.SE2021

Ensemble Models for Neural Source Code Summarization of Subroutines

Alexander LeClair, Aakash Bansal, Collin McMillan

A source code summary of a subroutine is a brief description of that subroutine. Summaries underpin a majority of documentation consumed by programmers, such as the method summarie…

cs.SE2021★ 16 cited

A Wizard of Oz Study Simulating API Usage Dialogues with a Virtual Assistant

Zachary Eberhart, Aakash Bansal, Collin McMillan

Virtual Assistant technology is rapidly proliferating to improve productivity in a variety of tasks. While several virtual assistants for everyday tasks are well-known (e.g., Siri,…

cs.SE2021★ 1 cited

Project-Level Encoding for Neural Source Code Summarization of Subroutines

Aakash Bansal, Sakib Haque, Collin McMillan

Source code summarization of a subroutine is the task of writing a short, natural language description of that subroutine. The description usually serves in documentation aimed at…

cs.SE2021

A Neural Question Answering System for Basic Questions about Subroutines

Aakash Bansal, Zachary Eberhart, Lingfei Wu +1

A question answering (QA) system is a type of conversational AI that generates natural language answers to questions posed by human users. QA systems often form the backbone of int…

cs.SE2021

Action Word Prediction for Neural Source Code Summarization

Sakib Haque, Aakash Bansal, Lingfei Wu +1

Source code summarization is the task of creating short, natural language descriptions of source code. Code summarization is the backbone of much software documentation such as Jav…