Výsledky vyhľadávania - (( (stated OR state) python code analysis ) OR ( (static OR staten) python code analysis ))

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  1. 1

    Methods and Benchmark for Detecting Cryptographic API Misuses in Python Autor Frantz, Miles, Xiao, Ya, Pias, Tanmoy Sarkar, Meng, Na, Yao, Danfeng

    ISSN: 0098-5589, 1939-3520
    Vydavateľské údaje: New York IEEE 01.05.2024
    “… The current static code analysis tools for Python are unable to scan the increasing complexity of the source code…”
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    Journal Article
  2. 2

    Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count Autor Ma, Xutong, Yan, Jiwei, Zhang, Hao, Yan, Jun, Zhang, Jian

    ISSN: 2643-1572
    Vydavateľské údaje: IEEE 11.09.2023
    “… To detect such problems, state-of-the-art approaches have made groundbreaking contributions to identifying inappropriate final refcount values before returning from native code to Python…”
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    Konferenčný príspevok..
  3. 3

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

    ISSN: 2410-9355, 2307-549X
    Vydavateľské údaje: Koya University 01.10.2025
    Vydané v 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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    Journal Article
  4. 4

    galpy: A python LIBRARY FOR GALACTIC DYNAMICS Autor Bovy, Jo

    ISSN: 1538-4365, 0067-0049, 1538-4365
    Vydavateľské údaje: United States 01.02.2015
    “…I describe the design, implementation, and usage of galpy, a python package for galactic-dynamics calculations…”
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    Journal Article
  5. 5

    DeVAIC: A tool for security assessment of AI-generated code Autor Cotroneo, Domenico, De Luca, Roberta, Liguori, Pietro

    ISSN: 0950-5849
    Vydavateľské údaje: Elsevier B.V 01.01.2025
    Vydané v Information and software technology (01.01.2025)
    “… This research work introduces DeVAIC (Detection of Vulnerabilities in AI-generated Code), a tool to evaluate the security of AI-generated Python code, which overcomes the challenge of examining incomplete code…”
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    Journal Article
  6. 6

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

    ISSN: 1558-1225
    Vydavateľské údaje: 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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  7. 7

    PyCG: Practical Call Graph Generation in Python Autor Salis, Vitalis, Sotiropoulos, Thodoris, Louridas, Panos, Spinellis, Diomidis, Mitropoulos, Dimitris

    ISBN: 1665402962, 9781665402965
    ISSN: 1558-1225
    Vydavateľské údaje: IEEE 01.05.2021
    “… We propose a pragmatic, static approach for call graph generation in Python. We compute all assignment relations between program identifiers of functions, variables, classes, and modules through an inter-procedural analysis…”
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  8. 8

    MTpy: A Python toolbox for magnetotellurics Autor Krieger, Lars, Peacock, Jared R.

    ISSN: 0098-3004, 1873-7803
    Vydavateľské údaje: Elsevier Ltd 01.11.2014
    Vydané v Computers & geosciences (01.11.2014)
    “… Written in Python, the code is open source, containing sub-packages and modules for various tasks within the standard MT data processing and handling scheme…”
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    Journal Article
  9. 9

    CryptoPyt: Unraveling Python Cryptographic APIs Misuse with Precise Static Taint Analysis Autor Guo, Xiangxin, Jia, Shijie, Lin, Jingqiang, Ma, Yuan, Zheng, Fangyu, Li, Guangzheng, Xu, Bowen, Cheng, Yueqiang, Ji, Kailiang

    ISSN: 2576-9103
    Vydavateľské údaje: IEEE 09.12.2024
    “… Based on PCAST, we design and implement CryptoPyt, a static code analysis tool that leverages precise taint analysis and 17 cryptographic misuse rules to automatically…”
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  10. 10

    Analysing Software Quality of AI-Translated Code: A Comparative Study of Large Language Models Using Static Analysis Autor Bhutani, Vikram, Toosi, Farshad Ghassemi, Buckley, Jim

    ISSN: 2255-8691, 2255-8683, 2255-8691
    Vydavateľské údaje: Riga Sciendo 01.01.2025
    Vydané v Applied Computer Systems (Online) (01.01.2025)
    “…Context: Source code translation enables cross-platform compatibility, code reusability, legacy system migration, and developer collaboration…”
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    Journal Article
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    Analyzing LLM-Generated Code According to Four ISO/IEC 5055:2021 Categories Autor Krebs, Rasmus, Mazumdar, Somnath

    ISSN: 2169-3536, 2169-3536
    Vydavateľské údaje: Piscataway IEEE 2025
    Vydané v IEEE access (2025)
    “… This paper addresses a gap in current research by evaluating Python code generated by nine state-of-the-art LLMs according to the four main code quality categories…”
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    Journal Article
  12. 12

    Interactive Cross-Language Pointer Analysis for Resolving Native Code in Java Programs Autor Zhang, Chenxi, Liang, Yufei, Tan, Tian, Xu, Chang, Kan, Shuangxiang, Sui, Yulei, Li, Yue

    ISSN: 1558-1225
    Vydavateľské údaje: IEEE 26.04.2025
    “… While JNI mechanism significantly enhances the Java platform's capabilities, it also presents challenges for static analysis of Java programs due to the complex behaviors introduced by native code…”
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  13. 13

    TESTING THE DYNAMIC EXECUTION OF PYTHON PROGRAM CODE DURING THE CERTIFICATION TESTING (DEVELOPMENT) STAGE IN THE CERTIFICATION SYSTEM OF THE MINISTRY OF DEFENSE OF RUSSIA Autor V.V. Samarov

    ISSN: 2307-4205
    Vydavateľské údaje: Penza State University Publishing House 01.06.2023
    “…" (State Technical Commission of Russia, Moscow, 1999) 1, hereinafter – RD NDV, along with static analysis, a dynamic analysis should be carried…”
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    Journal Article
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    Principled and Practical Static Analysis for Python Autor Rak-Amnouykit, Ingkarat

    ISBN: 9798302856081
    Vydavateľské údaje: ProQuest Dissertations & Theses 01.01.2024
    “…; however, static analysis tools to support software quality and productivity are largely…”
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    Dissertation
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    Percolation theory using Python Autor Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Vydavateľské údaje: Cham Springer 2024
    “… Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes…”
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    E-kniha Kniha
  16. 16

    Inspect4py: A Knowledge Extraction Framework for Python Code Repositories Autor Filgueira, Rosa, Garijo, Daniel

    ISSN: 2574-3864
    Vydavateľské údaje: 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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  17. 17

    Statistics Using Python Autor Campesato, Oswald

    ISBN: 9781683928805, 1683928806
    Vydavateľské údaje: Berlin Mercury Learning and Information 2024
    “…This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors…”
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    E-kniha
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    MRSimulator: A cross-platform, object-oriented software package for rapid solid-state NMR spectral simulation and analysis Autor Srivastava, Deepansh J, Giammar, Matthew, Venetos, Maxwell C, McCarthy-Carney, Lexi, Grandinetti, Philip J

    ISSN: 1089-7690
    Vydavateľské údaje: United States 07.12.2024
    Vydané v The Journal of chemical physics (07.12.2024)
    “…The open-source Python package, MRSimulator, is presented as a simple-to-use, fast, versatile, and extendable package capable of simulating one- and higher-dimensional Nuclear Magnetic Resonance (NMR…”
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    Journal Article
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    Dataset of Program Source Codes Solving Unique Programming Exercises Generated by Digital Teaching Assistant Autor Demidova, Liliya A., Andrianova, Elena G., Sovietov, Peter N., Gorchakov, Artyom V.

    ISSN: 2306-5729, 2306-5729
    Vydavateľské údaje: Basel MDPI AG 01.06.2023
    Vydané v Data (Basel) (01.06.2023)
    “…This paper presents a dataset containing automatically collected source codes solving unique programming exercises of different types…”
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    Journal Article
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    Bloat beneath Python’s Scales: A Fine-Grained Inter-Project Dependency Analysis Autor Drosos, Georgios-Petros, Sotiropoulos, Thodoris, Spinellis, Diomidis, Mitropoulos, Dimitris

    ISSN: 2994-970X, 2994-970X
    Vydavateľské údaje: New York, NY, USA ACM 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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    Journal Article