16 citations · 24 across the 5 of their papers we have counts for
7 papers
Semantic Similarity Metrics for Evaluating Source Code Summarization
Sakib Haque, Zachary Eberhart, Aakash Bansal +1
Source code summarization involves creating brief descriptions of source code in natural language. These descriptions are a key component of software documentation such as JavaDocs…
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…
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,…
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…
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…
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…