Suchergebnisse - "Application programming interface (API) recommendation"

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  1. 1

    API Recommendation for Novice Programmers: Build a Bridge of Query-Task Knowledge Gap von Wang, Yong, Fang, Yingtao, Gao, Cuiyun, Chen, Linjun

    ISSN: 0018-9529, 1558-1721
    Veröffentlicht: New York IEEE 01.09.2024
    Veröffentlicht in IEEE transactions on reliability (01.09.2024)
    “… During software development, programmers often rely on a wide range of application programming interfaces (APIs) to facilitate their tasks. However, APIs have …”
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    Journal Article
  2. 2

    SRTEF: Test Function Recommendation With Scenarios and Latent Semantic for Implementing Stepwise Test Case von Liu, Kaiqi, Wu, Ji, Yang, Haiyan, Sun, Qing, Wan, Ruiyuan

    ISSN: 0018-9529, 1558-1721
    Veröffentlicht: New York IEEE 01.06.2022
    Veröffentlicht in IEEE transactions on reliability (01.06.2022)
    “… Implementing test cases as programs to automate test execution is a popular testing practice. Current industrial practices usually use test functions to …”
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    Journal Article
  3. 3

    TCL: Trustworthy Contrastive Learning for Web API Recommendation via Exploring Textual and Structural Semantics von Kang, Guosheng, Ren, Hongshuai, Liu, Jianxun, Cao, Buqing, Xu, Yu, Li, Pei

    ISSN: 2329-924X, 2373-7476
    Veröffentlicht: IEEE 2025
    “… With the development of service-oriented computing, software developers increasingly rely on diverse Web application programming interfaces (APIs, also known …”
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  4. 4

    Graph Embedding Based API Graph Search and Recommendation von Ling, Chun-Yang, Zou, Yan-Zhen, Lin, Ze-Qi, Xie, Bing

    ISSN: 1000-9000, 1860-4749
    Veröffentlicht: New York Springer US 01.09.2019
    Veröffentlicht in Journal of computer science and technology (01.09.2019)
    “… Searching application programming interfaces (APIs) is very important for developers to reuse software projects. Existing natural language based API search …”
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  5. 5

    MSTIL: Multi-cue Shape-aware Transferable Imbalance Learning for effective graphic API recommendation von Qin, Rong, Wang, Zeyu, Huang, Sheng, Huangfu, Luwen

    ISSN: 0164-1212, 1873-1228
    Veröffentlicht: Elsevier Inc 01.06.2023
    Veröffentlicht in The Journal of systems and software (01.06.2023)
    “… Application Programming Interface (API) recommendation based on graphs is a valuable task in the fields of data visualization and software engineering …”
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  6. 6

    Application programming interface recommendation for smart contract using deep learning from augmented code representation von Cai, Jie, Cai, Qian, Li, Bin, Zhang, Jiale, Sun, Xiaobing

    ISSN: 2047-7473, 2047-7481
    Veröffentlicht: Chichester Wiley Subscription Services, Inc 01.08.2024
    Veröffentlicht in Journal of software : evolution and process (01.08.2024)
    “… Application programming interface (API) recommendation plays a crucial role in facilitating smart contract development by providing developers with a ranked list of candidate APIs for specific recommendation points. Deep learning …”
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  7. 7

    Knowledge-guided large language models are trustworthy API recommenders: Knowledge-guided large language models are trustworthy API recommenders von Wei, Hongwei, Su, Xiaohong, Zheng, Weining, Tao, Wenxing, Yu, Hailong, Kuang, Yuqian

    ISSN: 0928-8910, 1573-7535
    Veröffentlicht: New York Springer US 01.11.2025
    Veröffentlicht in Automated software engineering (01.11.2025)
    “… A pplication P rogramming I nterface (API) recommendation aims to recommend APIs for developers that meet their functional requirements, which can compensate …”
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  8. 8

    Application programming interface recommendation according to the knowledge indexed by app feature mined from app stores von Liu, Lei, Li, Xun, Liu, Yuzhou, Liu, Huaxiao

    ISSN: 2047-7473, 2047-7481
    Veröffentlicht: Chichester Wiley Subscription Services, Inc 01.11.2021
    Veröffentlicht in Journal of software : evolution and process (01.11.2021)
    “… Application programming interfaces (APIs) play an important role in the increasingly competitive mobile application development industry, as they can greatly …”
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  9. 9

    A study on application programming interface recommendation: state-of-the-art techniques, challenges and future directions von Nawaz, Muhammad Sajid, Khan, Saif Ur Rehman, Hussain, Shahid, Iqbal, Javed

    ISSN: 0737-8831, 2054-166X
    Veröffentlicht: Bradford Emerald Publishing Limited 01.06.2023
    Veröffentlicht in Library hi tech (01.06.2023)
    “… PurposeThis study aims to identify the developer’s objectives, current state-of-the-art techniques, challenges and performance evaluation metrics, and presents outlines of a knowledge-based application programming interfaces (API …”
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