Suchergebnisse - "code snippets recommendation"

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  1. 1

    Code Snippets Recommendation Based on Sequence to Sequence Model von YAN Xin, ZHOU Yu, HUANG Zhiqiu

    ISSN: 1673-9418
    Veröffentlicht: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 01.05.2020
    Veröffentlicht in Jisuanji kexue yu tansuo (01.05.2020)
    “… This paper proposes DeepCR which is a code snippets recommendation approach based on sequence to sequence model …”
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    Journal Article
  2. 2

    ROSF: Leveraging Information Retrieval and Supervised Learning for Recommending Code Snippets von Jiang, He, Nie, Liming, Sun, Zeyi, Ren, Zhilei, Kong, Weiqiang, Zhang, Tao, Luo, Xiapu

    ISSN: 1939-1374, 2372-0204
    Veröffentlicht: Piscataway IEEE 01.01.2019
    Veröffentlicht in IEEE transactions on services computing (01.01.2019)
    “… When implementing unfamiliar programming tasks, developers commonly search code examples and learn usage patterns of APIs from the code examples or reuse them …”
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    Journal Article
  3. 3

    SENSORY: Leveraging Code Statement Sequence Information for Code Snippets Recommendation von Ai, Lei, Huang, Zhiqiu, Li, Weiwei, Zhou, Yu, Yu, Yaoshen

    ISBN: 9781728126074, 172812607X
    Veröffentlicht: IEEE 01.07.2019
    “… Since these studies did not consider this issue, there is still room for improvement in the code snippets recommendation …”
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    Tagungsbericht
  4. 4

    基于序列到序列模型的代码片段推荐 von 闫鑫, 周宇, 黄志球

    ISSN: 1673-9418
    Veröffentlicht: 南京航空航天大学 高安全系统的软件开发与验证技术工信部重点实验室,南京 210016 01.05.2020
    Veröffentlicht in 计算机科学与探索 (01.05.2020)
    “… TP391; 在软件开发过程中,开发者经常会以复用代码的方式,提高软件开发效率.已有的研究通常采用传统的信息检索技术来实现代码推荐.这些方法存在自然语言查询的高层级的意图 …”
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    Journal Article
  5. 5

    SLAMPA: Recommending Code Snippets with Statistical Language Model von Zhou, Shufan, Zhong, Hao, Shen, Beijun

    ISSN: 2640-0715
    Veröffentlicht: IEEE 01.12.2018
    “… Programming is typically a difficult and repetitive task. Programmers will encounter endless problems during programming, and they often need to write similar …”
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  6. 6

    Context Aware Code Snippet Recommendation

    Veröffentlicht: Washington, D.C Targeted News Service 01.07.2025
    Veröffentlicht in Targeted News Service (01.07.2025)
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    Newsletter
  7. 7

    I Know What You Are Searching For: Code Snippet Recommendation from Stack Overflow Posts von Gao, Zhipeng, Xia, Xin, Lo, David, Grundy, John, Zhang, Xindong, Xing, Zhenchang

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 28.10.2022
    Veröffentlicht in arXiv.org (28.10.2022)
    “… Stack Overflow has been heavily used by software developers to seek programming-related information. More and more developers use Community Question and Answer …”
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    Paper
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    ROSF: Leveraging Information Retrieval and Supervised Learning for Recommending Code Snippets von He, Jiang, Nie, Liming, Sun, Zeyi, Ren, Zhilei, Kong, Weiqiang, Zhang, Tao, Luo, Xiapu

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 04.03.2017
    Veröffentlicht in arXiv.org (04.03.2017)
    “… When implementing unfamiliar programming tasks, developers commonly search code examples and learn usage patterns of APIs from the code examples or reuse them …”
    Volltext
    Paper
  10. 10

    Large language models make sample-efficient recommender systems von LIN, Jianghao, DAI, Xinyi, SHAN, Rong, CHEN, Bo, TANG, Ruiming, YU, Yong, ZHANG, Weinan

    ISSN: 2095-2228, 2095-2236
    Veröffentlicht: Beijing Higher Education Press 01.04.2025
    Veröffentlicht in Frontiers of Computer Science (01.04.2025)
    “… ) applying Laser for downstream applications like code snippet recommendation …”
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    Journal Article
  11. 11

    Code Recommendation Based on Deep Learning von Sun, Hao, Xu, ZhiFei, Li, Xu

    Veröffentlicht: IEEE 01.04.2023
    “… Firstly, the method obtains a large amount of high-quality data to build the code base, and proposes a code snippet recommendation method based on generates sentence vectors with rich semantics …”
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  12. 12

    Readability and Understandability of Snippets Recommended by General-purpose Web Search Engines: A Comparative Study von Dantas, Carlos Eduardo C., Maia, Marcelo A.

    Veröffentlicht: IEEE 01.11.2021
    “… : ranking, general-purpose web search engine and recommended site. We collected the top-5 recommended sites and their respective code snippet recommendations using Google, Yahoo …”
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    Tagungsbericht
  13. 13

    Readability and Understandability of Snippets Recommended by General-purpose Web Search Engines: a Comparative Study von Dantas, Carlos Eduardo C, Maia, Marcelo A

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 14.10.2021
    Veröffentlicht in arXiv.org (14.10.2021)
    “… : ranking, general-purpose web search engine, and recommended site. We collected the top-5 recommended sites and their respective code snippet recommendations using Google, Yahoo …”
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    Paper