Search Results - "LeClair, Alexander"

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  1. 1

    A Neural Model for Generating Natural Language Summaries of Program Subroutines by LeClair, Alexander, Jiang, Siyuan, McMillan, Collin

    “…Source code summarization -- creating natural language descriptions of source code behavior -- is a rapidly-growing research topic with applications to…”
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    Conference Proceeding
  2. 2

    Adapting Neural Text Classification for Improved Software Categorization by LeClair, Alexander, Eberhart, Zachary, McMillan, Collin

    “…Software Categorization is the task of organizing software into groups that broadly describe the behavior of the software, such as "editors" or "science."…”
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    Conference Proceeding
  3. 3

    Neural Models of Automated Documentation Generation for Source Code by LeClair, Alexander

    Published 01-01-2022
    “…Source code summarization is the task of writing a short natural language summary for a section of source code. The most common targets for summarization are a…”
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    Dissertation
  4. 4

    Improved Code Summarization via a Graph Neural Network by LeClair, Alexander, Haque, Sakib, Wu, Lingfei, McMillan, Collin

    “…Automatic source code summarization is the task of generating natural language descriptions for source code. Automatic code summarization is a rapidly…”
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    Conference Proceeding
  5. 5

    Improved Automatic Summarization of Subroutines via Attention to File Context by Haque, Sakib, LeClair, Alexander, Wu, Lingfei, McMillan, Collin

    “…Software documentation largely consists of short, natural language summaries of the subroutines in the software. These summaries help programmers quickly…”
    Get full text
    Conference Proceeding
  6. 6

    Ensemble Models for Neural Source Code Summarization of Subroutines by LeClair, Alexander, Bansal, Aakash, McMillan, Collin

    “…A source code summary of a subroutine is a brief description of that subroutine. Summaries underpin a majority of documentation consumed by programmers, such…”
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    Conference Proceeding
  7. 7

    A Human Study of Comprehension and Code Summarization by Stapleton, Sean, Gambhir, Yashmeet, LeClair, Alexander, Eberhart, Zachary, Weimer, Westley, Leach, Kevin, Huang, Yu

    “…Software developers spend a great deal of time reading and understanding code that is poorly-documented, written by other developers, or developed using…”
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    Conference Proceeding
  8. 8

    Recommendations for Datasets for Source Code Summarization by LeClair, Alexander, McMillan, Collin

    Published 04-04-2019
    “…Source Code Summarization is the task of writing short, natural language descriptions of source code. The main use for these descriptions is in software…”
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    Journal Article
  9. 9

    Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments by Eberhart, Zachary, LeClair, Alexander, McMillan, Collin

    “…Summary descriptions of subroutines are short (usually one-sentence) natural language explanations of a subroutine's behavior and purpose in a program. These…”
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    Conference Proceeding
  10. 10

    Ensemble Models for Neural Source Code Summarization of Subroutines by LeClair, Alexander, Bansal, Aakash, McMillan, Collin

    Published 23-07-2021
    “…A source code summary of a subroutine is a brief description of that subroutine. Summaries underpin a majority of documentation consumed by programmers, such…”
    Get full text
    Journal Article
  11. 11

    Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments by Eberhart, Zachary, LeClair, Alexander, McMillan, Collin

    Published 21-12-2019
    “…Summary descriptions of subroutines are short (usually one-sentence) natural language explanations of a subroutine's behavior and purpose in a program. These…”
    Get full text
    Journal Article
  12. 12

    Haptic representation of aortic pressure waveforms using synthetic ECG derived time intervals by LeClair, Alexander, Wolfer, James

    “…While simple pulse-rate is perhaps the most common cardiovascular assessment, recent research suggests that there is valuable information contained in the…”
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    Conference Proceeding
  13. 13

    InView: An Intelligent Viewer for Cardiology by Wolfer, James, Soble, Jeffrey, LeClair, Alexander, Nazir, Noreen T., Such, Derek, Maltempi, Thiago, Doukky, Rami

    “…Heart disease is the number one cause of death worldwide. As a result millions of echocardiogram studies must be analyzed each year. By augmenting a capable…”
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    Conference Proceeding
  14. 14

    A Neural Model for Generating Natural Language Summaries of Program Subroutines by LeClair, Alexander, Jiang, Siyuan, McMillan, Collin

    Published 05-02-2019
    “…Source code summarization -- creating natural language descriptions of source code behavior -- is a rapidly-growing research topic with applications to…”
    Get full text
    Journal Article
  15. 15

    Haptic palpation of aortic pressure waveforms by LeClair, Alexander, Wolfer, James

    “…Cardiovascular disease is the leading cause of death worldwide. According to the World Health Organization, cardiovascular disease was responsible for 17.5…”
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    Conference Proceeding
  16. 16

    Improved Automatic Summarization of Subroutines via Attention to File Context by Haque, Sakib, LeClair, Alexander, Wu, Lingfei, McMillan, Collin

    Published 10-04-2020
    “…Software documentation largely consists of short, natural language summaries of the subroutines in the software. These summaries help programmers quickly…”
    Get full text
    Journal Article
  17. 17

    Improved Code Summarization via a Graph Neural Network by LeClair, Alexander, Haque, Sakib, Wu, Lingfei, McMillan, Collin

    Published 06-04-2020
    “…Automatic source code summarization is the task of generating natural language descriptions for source code. Automatic code summarization is a rapidly…”
    Get full text
    Journal Article
  18. 18

    Adapting Neural Text Classification for Improved Software Categorization by LeClair, Alexander, Eberhart, Zachary, McMillan, Collin

    Published 05-06-2018
    “…Software Categorization is the task of organizing software into groups that broadly describe the behavior of the software, such as "editors" or "science."…”
    Get full text
    Journal Article