102 citations · 149 across the 23 of their papers we have counts for
29 papers
Revisiting File Context for Source Code Summarization
Aakash Bansal, Chia-Yi Su, Collin McMillan
Source code summarization is the task of writing natural language descriptions of source code. A typical use case is generating short summaries of subroutines for use in API docume…
Modeling Programmer Attention as Scanpath Prediction
Aakash Bansal, Chia-Yi Su, Zachary Karas +4
This paper launches a new effort at modeling programmer attention by predicting eye movement scanpaths. Programmer attention refers to what information people intake when performin…
Distilled GPT for Source Code Summarization
Chia-Yi Su, Collin McMillan
A code summary is a brief natural language description of source code. Summaries are usually only a single sentence long, and yet form the backbone of developer documentation. A sh…
Semantic Similarity Loss for Neural Source Code Summarization
Chia-Yi Su, Collin McMillan
This paper presents a procedure for and evaluation of using a semantic similarity metric as a loss function for neural source code summarization. Code summarization is the task of…
Statement-based Memory for Neural Source Code Summarization
Aakash Bansal, Siyuan Jiang, Sakib Haque +1
Source code summarization is the task of writing natural language descriptions of source code behavior. Code summarization underpins software documentation for programmers. Short d…
Towards Fine-Grained Localization of Privacy Behaviors
Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti +1
Mobile applications are required to give privacy notices to users when they collect or share personal information. Creating consistent and concise privacy notices can be a challeng…
Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization
Aakash Bansal, Bonita Sharif, Collin McMillan
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 model…
A Language Model of Java Methods with Train/Test Deduplication
Chia-Yi Su, Aakash Bansal, Vijayanta Jain +2
This tool demonstration presents a research toolkit for a language model of Java source code. The target audience includes researchers studying problems at the granularity level of…
Label Smoothing Improves Neural Source Code Summarization
Sakib Haque, Aakash Bansal, Collin McMillan
Label smoothing is a regularization technique for neural networks. Normally neural models are trained to an output distribution that is a vector with a single 1 for the correct pre…
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…
Generating Clarifying Questions for Query Refinement in Source Code Search
Zachary Eberhart, Collin McMillan
In source code search, a common information-seeking strategy involves providing a short initial query with a broad meaning, and then iteratively refining the query using terms glea…
Dialogue Management for Interactive API Search
Zachary Eberhart, Collin McMillan
API search involves finding components in an API that are relevant to a programming task. For example, a programmer may need a function in a C library that opens a new network conn…
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…
Improved Automatic Summarization of Subroutines via Attention to File Context
Sakib Haque, Alexander LeClair, Lingfei Wu +1
Software documentation largely consists of short, natural language summaries of the subroutines in the software. These summaries help programmers quickly understand what a subrouti…
Improved Code Summarization via a Graph Neural Network
Alexander LeClair, Sakib Haque, Lingfei Wu +1
Automatic source code summarization is the task of generating natural language descriptions for source code. Automatic code summarization is a rapidly expanding research area, espe…
The Apiza Corpus: API Usage Dialogues with a Simulated Virtual Assistant
Zachary Eberhart, Aakash Bansal, Collin McMillan
Virtual assistant technology has the potential to make a significant impact in the field of software engineering. However, few SE-related datasets exist that would be suitable for…
Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments
Zachary Eberhart, Alexander LeClair, Collin McMillan
Summary descriptions of subroutines are short (usually one-sentence) natural language explanations of a subroutine's behavior and purpose in a program. These summaries are ubiquito…
Recommendations for Datasets for Source Code Summarization
Alexander LeClair, Collin McMillan
Source Code Summarization is the task of writing short, natural language descriptions of source code. The main use for these descriptions is in software documentation e.g. the one-…
EyeDoc: Documentation Navigation with Eye Tracking
Robert Wallace, Collin McMillan
We demonstrate EyeDoc, a tool for navigating software documentation with the use of the eyes. When programming, developers often have many windows open such as an IDE, consoles and…
A Neural Model for Generating Natural Language Summaries of Program Subroutines
Alexander LeClair, Siyuan Jiang, Collin McMillan
Source code summarization -- creating natural language descriptions of source code behavior -- is a rapidly-growing research topic with applications to automatic documentation gene…