Suchergebnisse - (( state:ny python code analysis ) OR ( state python code analysis ))~

  1. 1

    MEG and EEG data analysis with MNE-Python von Gramfort, Alexandre

    ISSN: 1662-453X, 1662-4548, 1662-453X
    Veröffentlicht: Switzerland Frontiers Research Foundation 26.12.2013
    Veröffentlicht in Frontiers in neuroscience (26.12.2013)
    “… As part of the MNE software suite, MNE-Python is an open-source software package that addresses this challenge by providing state-of-the-art algorithms implemented in Python that cover multiple …”
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    Journal Article
  2. 2

    Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors von Peng, Yun, Gao, Shuzheng, Gao, Cuiyun, Huo, Yintong, Lyu, Michael R.

    ISSN: 1558-1225
    Veröffentlicht: ACM 14.04.2024
    “… As a dynamic programming language, Python has become increasingly popular in recent years …”
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  3. 3

    Discovering Repetitive Code Changes in Python ML Systems von Dilhara, Malinda, Ketkar, Ameya, Sannidhi, Nikhith, Dig, Danny

    ISSN: 1558-1225
    Veröffentlicht: ACM 01.05.2022
    “… Despite the extraordinary rise in popularity of Python-based ML systems, they do not benefit from these advances …”
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  4. 4

    Evaluating Large Language Models in Class-Level Code Generation von Du, Xueying, Liu, Mingwei, Wang, Kaixin, Wang, Hanlin, Liu, Junwei, Chen, Yixuan, Feng, Jiayi, Sha, Chaofeng, Peng, Xin, Lou, Yiling

    ISSN: 1558-1225
    Veröffentlicht: ACM 14.04.2024
    “… Recently, many large language models (LLMs) have been proposed, showing advanced proficiency in code generation …”
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  5. 5

    PyTy: Repairing Static Type Errors in Python von Chow, Yiu Wai, Di Grazia, Luca, Pradel, Michael

    ISSN: 1558-1225
    Veröffentlicht: ACM 14.04.2024
    “… As more and more code bases get type-annotated, static type checkers detect an increasingly large number of type errors …”
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    A Python Instrument Control and Data Acquisition Suite for Reproducible Research von Koerner, Lucas J., Caswell, Thomas A., Allan, Daniel B., Campbell, Stuart I.

    ISSN: 0018-9456, 1557-9662
    Veröffentlicht: New York IEEE 01.04.2020
    “… The National Synchrotron Light Source-II (NSLS-II) has generated an open-source Python data acquisition, management, and analysis software suite that automates X-ray …”
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  7. 7

    SpotFlow: Tracking Method Calls and States at Runtime von Hora, Andre

    ISSN: 2574-1934
    Veröffentlicht: ACM 14.04.2024
    “… In this paper, we propose SpotFlow, a tool to ease the runtime analysis of Python programs. With Spot-Flow, practitioners and researchers can easily extract information …”
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  8. 8

    CoverUp: Effective High Coverage Test Generation for Python von Altmayer Pizzorno, Juan, Berger, Emery D.

    ISSN: 2994-970X, 2994-970X
    Veröffentlicht: New York, NY, USA ACM 19.06.2025
    Veröffentlicht in Proceedings of the ACM on software engineering (19.06.2025)
    “… We evaluate our prototype CoverUp implementation across a benchmark of challenging code derived from open-source Python projects and show that CoverUp substantially improves on the state of the art …”
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  9. 9

    SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data von Li, Chang, Ma, Kevin, Xu, Nicole, Fu, Chenjian, He, Andrew, Liu, Xiaoming, Bai, Yongsheng

    ISSN: 2624-8212, 2624-8212
    Veröffentlicht: Frontiers Media S.A 12.09.2022
    Veröffentlicht in Frontiers in artificial intelligence (12.09.2022)
    “… In this study, we updated SNPAAMapper, a variant annotation pipeline by converting perl codes to python for generating annotation output with an improved computational efficiency and updated …”
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  10. 10

    Bloat beneath Python’s Scales: A Fine-Grained Inter-Project Dependency Analysis von Drosos, Georgios-Petros, Sotiropoulos, Thodoris, Spinellis, Diomidis, Mitropoulos, Dimitris

    ISSN: 2994-970X, 2994-970X
    Veröffentlicht: New York, NY, USA ACM 12.07.2024
    Veröffentlicht in Proceedings of the ACM on software engineering (12.07.2024)
    “… In this work, we conduct a large-scale, fine-grained analysis to understand bloated dependency code in the PyPI ecosystem …”
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    Inspect4py: A Knowledge Extraction Framework for Python Code Repositories von Filgueira, Rosa, Garijo, Daniel

    ISSN: 2574-3864
    Veröffentlicht: ACM 01.05.2022
    “… This work presents inspect4py, a static code analysis framework designed to automatically extract the main features, metadata and documentation of Python code repositories …”
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  12. 12

    Unleashing the Giants: Enabling Advanced Testing for Infrastructure as Code von Sokolowski, Daniel, Spielmann, David, Salvaneschi, Guido

    ISSN: 2574-1934
    Veröffentlicht: ACM 14.04.2024
    “… Infrastructure as Code (IaC) programs are written in imperative programming languages like Python or TypeScript while declar-atively defining the target state of software deployments, which the IaC solution then sets up, e.g …”
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    Kubernetes for Developers von Joseph Heck

    ISBN: 1788834755, 9781788834759
    Veröffentlicht: Packt Publishing 06.04.2018
    “… In 'Kubernetes for Developers,' you'll learn essential Kubernetes concepts and master practical skills to containerize, run, and manage your code …”
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    E-Book
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    Analysis methods and code for very high-precision mass measurements of unstable isotopes von Karthein, J., Atanasov, D., Blaum, K., Lunney, D., Manea, V., Mougeot, M.

    ISSN: 0010-4655, 1879-2944
    Veröffentlicht: Elsevier B.V 01.10.2021
    Veröffentlicht in Computer physics communications (01.10.2021)
    “… We present a robust analysis code developed in the Python language and incorporating libraries of the ROOT data analysis framework for the state-of-the-art mass spectrometry method called phase …”
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    Restoring Reproducibility of Jupyter Notebooks von Wang, Jiawei, Kuo, Tzu-yang, Li, Li, Zeller, Andreas

    Veröffentlicht: ACM 01.10.2020
    “… Jupyter notebooks-documents that contain live code, equations, visualizations, and narrative text-now are among the most popular means to compute, present, discuss and disseminate scientific findings …”
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    Computational Tools for the Multiscale Analysis of Hi-C Data in Bacterial Chromosomes von Varoquaux, Nelle, Lioy, Virginia S, Boccard, Frédéric, Junier, Ivan

    ISSN: 1940-6029, 1940-6029
    Veröffentlicht: United States 2022
    “… Our objective is twofold. On the one hand, we aim at providing a full, understandable Python/Jupyter-based code which can be used by both computer scientists and biologists with no advanced computational background …”
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  17. 17

    A Study of Large Language Models in Detecting Python Code Violations von Mohammed Salih, Hekar A., Sarhan, Qusay I.

    ISSN: 2410-9355, 2307-549X
    Veröffentlicht: Koya University 01.10.2025
    Veröffentlicht in ARO (Koya) (01.10.2025)
    “… Common static code analysis tools for Python, such as Pylint and Flake8, are widely used to enforce code quality by detecting coding violations without executing the code …”
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    MolProbity: More and better reference data for improved all‐atom structure validation von Williams, Christopher J., Headd, Jeffrey J., Moriarty, Nigel W., Prisant, Michael G., Videau, Lizbeth L., Deis, Lindsay N., Verma, Vishal, Keedy, Daniel A., Hintze, Bradley J., Chen, Vincent B., Jain, Swati, Lewis, Steven M., Arendall, W. Bryan, Snoeyink, Jack, Adams, Paul D., Lovell, Simon C., Richardson, Jane S., Richardson, David C.

    ISSN: 0961-8368, 1469-896X, 1469-896X
    Veröffentlicht: United States Wiley Subscription Services, Inc 01.01.2018
    Veröffentlicht in Protein science (01.01.2018)
    “… There have been many infrastructure improvements, including rewrite of previous Java utilities to now use existing or newly written Python utilities in the open …”
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    Lost in Translation: A Study of Bugs Introduced by Large Language Models While Translating Code von Pan, Rangeet, Ibrahimzada, Ali Reza, Krishna, Rahul, Sankar, Divya, Wassi, Lambert Pougeum, Merler, Michele, Sobolev, Boris, Pavuluri, Raju, Sinha, Saurabh, Jabbarvand, Reyhaneh

    ISSN: 1558-1225
    Veröffentlicht: ACM 14.04.2024
    “… The prerequisite for advancing the state of LLM-based code translation is to understand their promises and limitations over existing techniques …”
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    Detecting and Explaining Anomalies Caused by Web Tamper Attacks via Building Consistency-based Normality von Liao, Yifan, Xu, Ming, Lin, Yun, Teoh, Xiwen, Xie, Xiaofei, Feng, Ruitao, Liauw, Frank, Zhang, Hongyu, Dong, Jin Song

    ISSN: 2643-1572
    Veröffentlicht: ACM 27.10.2024
    “… However, their frontend can be manipulable by the clients (e.g., the frontend code can be modified to bypass some validation steps …”
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