Výsledky vyhľadávania - code snippets recommendation

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

    ISSN: 1673-9418
    Vydavateľské údaje: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 01.05.2020
    Vydané v 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
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    SENSORY: Leveraging Code Statement Sequence Information for Code Snippets Recommendation Autor Ai, Lei, Huang, Zhiqiu, Li, Weiwei, Zhou, Yu, Yu, Yaoshen

    ISBN: 9781728126074, 172812607X
    Vydavateľské údaje: 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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    ROSF: Leveraging Information Retrieval and Supervised Learning for Recommending Code Snippets Autor Jiang, He, Nie, Liming, Sun, Zeyi, Ren, Zhilei, Kong, Weiqiang, Zhang, Tao, Luo, Xiapu

    ISSN: 1939-1374, 2372-0204
    Vydavateľské údaje: Piscataway IEEE 01.01.2019
    “… In this paper, to provide better recommendation results, we propose ROSF, Recommending code Snippets with multi-aspect Features, a novel method combining both information retrieval and supervised learning…”
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    Journal Article
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    基于序列到序列模型的代码片段推荐 Autor 闫鑫, 周宇, 黄志球

    ISSN: 1673-9418
    Vydavateľské údaje: 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
    Vydané v 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
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    SLAMPA: Recommending Code Snippets with Statistical Language Model Autor Zhou, Shufan, Zhong, Hao, Shen, Beijun

    ISSN: 2640-0715
    Vydavateľské údaje: IEEE 01.12.2018
    “… To address this challenge, we propose SLAMPA, a novel tool which takes advantage of statistical language model and clone detection techniques to recommend code snippets during programming…”
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    Context Aware Code Snippet Recommendation

    Vydavateľské údaje: Washington, D.C Targeted News Service 01.07.2025
    Vydané v Targeted News Service (01.07.2025)
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    I Know What You Are Searching For: Code Snippet Recommendation from Stack Overflow Posts Autor Gao, Zhipeng, Xia, Xin, Lo, David, Grundy, John, Zhang, Xindong, Xing, Zhenchang

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 28.10.2022
    Vydané v arXiv.org (28.10.2022)
    “… More and more developers use Community Question and Answer forums, such as Stack Overflow, to search for code examples of how to accomplish a certain coding task…”
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    Microsoft Technology Licensing Assigned Patent for Code Snippet Content Recommendation

    Vydavateľské údaje: Washington, D.C Targeted News Service 28.12.2018
    Vydané v Targeted News Service (28.12.2018)
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    Code Recommendation Based on Deep Learning Autor Sun, Hao, Xu, ZhiFei, Li, Xu

    Vydavateľské údaje: 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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  13. 13

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

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 04.03.2017
    Vydané v arXiv.org (04.03.2017)
    “… In this paper, to provide better recommendation results, we propose ROSF, Recommending cOde Snippets with multi-aspect Features, a novel method combining both information retrieval and supervised learning…”
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    Paper
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    Senatus - A Fast and Accurate Code-to-Code Recommendation Engine Autor Silavong, Fran, Moran, Sean, Georgiadis, Antonios, Saphal, Rohan, Otter, Robert

    ISSN: 2574-3864
    Vydavateľské údaje: ACM 01.05.2022
    “… Code-to-code recommendation is a task in MLOnCode that aims to recommend relevant, diverse and concise code snippets that usefully extend the code currently being written by a developer…”
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    Dual-interactive fusion for code-mixed deep representation learning in tag recommendation Autor Li, Lin, Wang, Peipei, Zheng, Xinhao, Xie, Qing, Tao, Xiaohui, Velásquez, Juan D.

    ISSN: 1566-2535, 1872-6305
    Vydavateľské údaje: Elsevier B.V 01.11.2023
    Vydané v Information fusion (01.11.2023)
    “… Due to deep correlations between software objects and tags, it is challenging to simultaneously consider the code snippet and text description of a software object…”
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    Journal Article
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    Code recommendation based on joint embedded attention network Autor Wen, Wanzhi, Zhao, Tian, Wang, Shiqiang, Chu, Jiawei, Kumar Jain, Deepak

    ISSN: 1432-7643, 1433-7479
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2022
    Vydané v Soft computing (Berlin, Germany) (01.09.2022)
    “…Due to the heterogeneity of program language and natural language query, it is difficult to identify the semantic relationship between them, which leads to the low efficiency of code recommendation…”
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    Journal Article
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    Readability and Understandability of Snippets Recommended by General-purpose Web Search Engines: A Comparative Study Autor Dantas, Carlos Eduardo C., Maia, Marcelo A.

    Vydavateľské údaje: 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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    Senatus -- A Fast and Accurate Code-to-Code Recommendation Engine Autor Silavong, Fran, Moran, Sean, Georgiadis, Antonios, Saphal, Rohan, Otter, Robert

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 26.04.2022
    Vydané v arXiv.org (26.04.2022)
    “… Code-to-code recommendation is a task in MLOnCode that aims to recommend relevant, diverse and concise code snippets that usefully extend the code currently being written by a developer…”
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    Sequential coding patterns: How to use them effectively in code recommendation Autor da Silva, Luiz Laerte Nunes, Kohwalter, Troy Costa, Plastino, Alexandre, Murta, Leonardo Gresta Paulino

    ISSN: 0950-5849, 1873-6025
    Vydavateľské údaje: Elsevier B.V 01.12.2021
    Vydané v Information and software technology (01.12.2021)
    “… However, instead of providing syntactic suggestions for completing the current line, such feature suggests code snippets containing multiple lines…”
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    Journal Article
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    Safe Rust Code Recommendation Based on Siamese Graph Neural Network Autor Lu, Xiuwen, Zhang, Zhicong, Xu, Hui

    ISSN: 2473-3105
    Vydavateľské údaje: IEEE 01.11.2022
    “… for each unsafe code snippet written by developers and make recommendations accordingly. We have conducted an evaluation experiment with a dataset of real-world samples from GitHub, and results show that our approach can achieve an accuracy of 82.3%…”
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