activity
20202022
most citedImproved Automatic Summarization of Subroutines via Attention to File Context

102 citations · 107 across the 3 of their papers we have counts for

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5 papers · 1 filter

cs.SE20224 cited

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…

cs.SE20211 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

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…

cs.SE2020102 cited

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…

cs.SE2020

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…