Výsledky vyhľadávania - Java AND python resource code*

  1. 1

    Context‐based transfer learning for low resource code summarization Autor Guo, Yi, Chai, Yu, Zhang, Lehuan, Li, Hui, Luo, Mengzhi, Guo, Shikai

    ISSN: 0038-0644, 1097-024X
    Vydavateľské údaje: Bognor Regis Wiley Subscription Services, Inc 01.03.2024
    Vydané v Software, practice & experience (01.03.2024)
    “… However, the current work is being carried out on resource‐rich programming languages such as Java and Python, and some low…”
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    Journal Article
  2. 2

    OptCodeTrans: Boost LLMs on Low-Resource Programming Language Translation Autor Lin, Jianbo, Shen, Yi, Li, Chuanyi, Niu, Changan, Luo, Bin

    Vydavateľské údaje: IEEE 27.04.2025
    “… on high-resource PLs like Python and Java, leaving low-resource languages insufficiently explored…”
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    Konferenčný príspevok..
  3. 3

    Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs Autor Cassano, Federico, Gouwar, John, Lucchetti, Francesca, Schlesinger, Claire, Freeman, Anders, Anderson, Carolyn Jane, Feldman, Molly Q, Greenberg, Michael, Jangda, Abhinav, Guha, Arjun

    ISSN: 2475-1421, 2475-1421
    Vydavateľské údaje: New York, NY, USA ACM 08.10.2024
    “…, Java, Python, or JavaScript), but struggle with low-resource languages that have limited training data available (e.g…”
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    Journal Article
  4. 4

    GeoJSEval: An Automated Evaluation Framework for Large Language Models on JavaScript-Based Geospatial Computation and Visualization Code Generation Autor Chen, Guanyu, Jiao, Haoyue, Hou, Shuyang, Liu, Ziqi, Xie, Lutong, Wu, Shaowen, Wu, Huayi, Guan, Xuefeng, Gui, Zhipeng

    ISSN: 2220-9964, 2220-9964
    Vydavateľské údaje: Basel MDPI AG 01.10.2025
    “…With the widespread adoption of large language models (LLMs) in code generation tasks, geospatial code generation has emerged as a critical frontier in the integration of artificial intelligence and geoscientific analysis…”
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    Journal Article
  5. 5

    Program Code Generation with Generative AIs Autor Idrisov, Baskhad, Schlippe, Tim

    ISSN: 1999-4893, 1999-4893
    Vydavateľské údaje: Basel MDPI AG 01.01.2024
    Vydané v Algorithms (01.01.2024)
    “… For our experiments, we had generative AIs produce program code in Java, Python, and C++ that solves problems defined on the competition coding website leetcode.com…”
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    Journal Article
  6. 6

    The Effects of Computational Resources on Flaky Tests Autor Silva, Denini, Gruber, Martin, Gokhale, Satyajit, Arteca, Ellen, Turcotte, Alexi, dAmorim, Marcelo, Lam, Wing, Winter, Stefan, Bell, Jonathan

    ISSN: 0098-5589, 1939-3520
    Vydavateľské údaje: New York IEEE 01.12.2024
    “… We present the first assessment of the impact that computational resources have on flaky tests, including a total of 52 projects written in Java, JavaScript and Python, and 27 different resource configurations…”
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    Journal Article
  7. 7

    From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks Autor Shahzad, Murtuza, Wilson, Joseph, Al Azher, Ibrahim, Alhoori, Hamed, Rahimi, Mona

    Vydavateľské údaje: IEEE 03.05.2025
    “… The existing software vulnerability datasets frequently fall short in providing comprehensive, detailed code snippets explicitly linked to specific vulnerability descriptions, reducing their utility…”
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  8. 8

    Automated Validation of COBOL to Java Transformation Autor Kumar, Atul, Saha, Diptikalyan, Yasue, Toshikai, Ono, Kohichi, Krishnan, Saravanan, Hans, Sandeep, Satoh, Fumiko, Mitchell, Gerald, Kumar, Sachin

    ISSN: 2643-1572
    Vydavateľské údaje: ACM 27.10.2024
    “…Recent advances in Large Language Model (LLM) based Generative AI techniques have made it feasible to translate enterprise-level code from legacy languages such as COBOL to modern languages such as Java or Python…”
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  9. 9

    Lingual-Fusion Adapter-Based Transfer Learning for Low-Resource Code Vulnerability Detection Autor Long, Xinyue, Guo, Shikai, Chai, Yu, Li, Hui, Jan, Sumaira Ameer, Ma, Qian, Ning, Qiao

    ISSN: 0098-3063, 1558-4127
    Vydavateľské údaje: New York IEEE 01.02.2025
    “… points.For instance, in a scenario where a software system integrates legacy code in a low-resource programming language like PHP, detecting vulnerabilities becomes challenging due to data scarcity…”
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    Journal Article
  10. 10

    Evaluating Performance and Resource Consumption of REST Frameworks and Execution Environments: Insights and Guidelines for Developers and Companies Autor Meglio, Sergio Di, Libero Lucio Starace, Luigi

    ISSN: 2169-3536, 2169-3536
    Vydavateľské údaje: Piscataway IEEE 2024
    Vydané v IEEE access (2024)
    “…The REST (REpresentational State Transfer) paradigm has become essential for designing distributed applications that leverage the HTTP protocol, enabling…”
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    Journal Article
  11. 11

    Properties and Styles of Software Technology Tutorials Autor Arya, Deeksha M., Guo, Jin L. C., Robillard, Martin P.

    ISSN: 0098-5589, 1939-3520
    Vydavateľské údaje: New York IEEE 01.02.2024
    “…, Python, Javascript, and Typescript. We investigated the extent to which tutorial pages, i.e…”
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    Journal Article
  12. 12

    Locating SQL Injection Vulnerabilities in Java Byte Code Using Natural Language Techniques Autor Jackson, Kevin A., Bennett, Brian T.

    ISSN: 1558-058X
    Vydavateľské údaje: IEEE 01.04.2018
    Vydané v SoutheastCon 2018 (01.04.2018)
    “… However, ensuring this is not such an easy task, and many developers do not have the required skills or resources to ensure their code is secure…”
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  13. 13

    Dealing with Data Pocket Primer Autor Campesato, Oswald

    ISBN: 9781683928201, 1683928202
    Vydavateľské údaje: Berlin Mercury Learning & Information 2022
    “…, Matplotlib, and data visualization. Companion files with source code and color figures are available.FEATURES:Covers Pandas, RDBMS, NLP, data cleaning, SQL, and data…”
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    E-kniha
  14. 14

    DocCGen: Document-based Controlled Code Generation Autor Pimparkhede, Sameer, Kammakomati, Mehant, Tamilselvam, Srikanth, Kumar, Prince, Ashok Pon Kumar, Bhattacharyya, Pushpak

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 03.07.2024
    Vydané v arXiv.org (03.07.2024)
    “…) to code generation for resource-rich general-purpose languages like C++, Java, and Python. However, their practical usage for structured domain-specific languages…”
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    Paper
  15. 15

    Software Architecture Recovery Augmented with Semantics Autor Zhao, Wenting, Jin, Wuxia, Zhang, Yiran, Fan, Ming, Wang, Haijun, Li, Li, Liu, Yang, Liu, Ting

    ISSN: 0098-5589, 1939-3520
    Vydavateľské údaje: IEEE 01.01.2026
    “… To perceive and fix the discrepancy, clustering-based architecture recovery methods have been developed to re-engineer the real-time system architecture from the code implementation…”
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    Journal Article
  16. 16

    Base, Instruct, and Fine-Tune: Evaluating LLMs for Cross-Language Flaky Test Detection Autor Ahmad, Azeem, Sun, Xin

    ISSN: 2169-3536
    Vydavateľské údaje: Piscataway IEEE 2025
    Vydané v IEEE access (2025)
    “… In this work, we explore the use of Large Language Models (LLMs) for detecting flaky tests across five programming languages: Java, Python, C++…”
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    Journal Article
  17. 17

    Learning To Code With Text-Bison-001:A Beginner-Friendly Explainer for Python, C, Java Autor Krishna, Kaivaram Sivarama, Kumar, Bommala Deepak, Reddy, Morumpalli Deekshith, Varun, Bheema Sai, Belwal, Meena

    ISSN: 2473-7674
    Vydavateľské údaje: IEEE 24.06.2024
    “…This work aims to develop a Code comprehensive interface for the three programming languages JAVA, C, and Python integrated with error detection and code optimization…”
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  18. 18

    Development of python-FALL3D: a modified procedure for modelling volcanic ash dispersal in the Asia-Pacific region Autor Bear-Crozier, A. N., Kartadinata, Nugraha, Heriwaseso, Anjar, Nielsen, Ole

    ISSN: 0921-030X, 1573-0840
    Vydavateľské údaje: Dordrecht Springer Netherlands 01.10.2012
    Vydané v Natural hazards (Dordrecht) (01.10.2012)
    “…Volcanic ash is the most widespread of all volcanic hazards and has the potential to affect hundreds of thousands, or even millions, of people in the densely…”
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    Journal Article
  19. 19

    Resource-Efficient & Effective Code Summarization Autor Afrin, Saima, Call, Joseph, Nguyen, Khai-Nguyen, Chaparro, Oscar, Mastropaolo, Antonio

    Vydavateľské údaje: IEEE 27.04.2025
    “…Code Language Models (CLMs) have demonstrated high effectiveness in automating software engineering tasks such as bug fixing, code generation, and code documentation…”
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  20. 20

    AutoGEEval: A Multimodal and Automated Evaluation Framework for Geospatial Code Generation on GEE with Large Language Models Autor Wu, Huayi, Shen, Zhangxiao, Hou, Shuyang, Liang, Jianyuan, Jiao, Haoyue, Qing, Yaxian, Zhang, Xiaopu, Li, Xu, Gui, Zhipeng, Guan, Xuefeng, Xiang, Longgang

    ISSN: 2220-9964, 2220-9964
    Vydavateľské údaje: Basel MDPI AG 01.07.2025
    “…Geospatial code generation is emerging as a key direction in the integration of artificial intelligence and geoscientific analysis…”
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    Journal Article