Search Results - (( (statu 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 by Frantz, Miles, Xiao, Ya, Pias, Tanmoy Sarkar, Meng, Na, Yao, Danfeng

    ISSN: 0098-5589, 1939-3520
    Published: New York IEEE 01.05.2024
    Published in IEEE transactions on software engineering (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 by Ma, Xutong, Yan, Jiwei, Zhang, Hao, Yan, Jun, Zhang, Jian

    ISSN: 2643-1572
    Published: 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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    Conference Proceeding
  3. 3

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

    ISSN: 2410-9355, 2307-549X
    Published: Koya University 01.10.2025
    Published 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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    Journal Article
  4. 4

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

    ISSN: 1538-4365, 0067-0049, 1538-4365
    Published: 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 by Cotroneo, Domenico, De Luca, Roberta, Liguori, Pietro

    ISSN: 0950-5849
    Published: Elsevier B.V 01.01.2025
    Published in 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 by Chow, Yiu Wai, Di Grazia, Luca, Pradel, Michael

    ISSN: 1558-1225
    Published: 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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    Conference Proceeding
  7. 7

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

    ISBN: 1665402962, 9781665402965
    ISSN: 1558-1225
    Published: 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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    Conference Proceeding
  8. 8

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

    ISSN: 0098-3004, 1873-7803
    Published: Elsevier Ltd 01.11.2014
    Published in 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 by Guo, Xiangxin, Jia, Shijie, Lin, Jingqiang, Ma, Yuan, Zheng, Fangyu, Li, Guangzheng, Xu, Bowen, Cheng, Yueqiang, Ji, Kailiang

    ISSN: 2576-9103
    Published: 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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    Conference Proceeding
  10. 10

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

    ISSN: 2255-8691, 2255-8683, 2255-8691
    Published: Riga Sciendo 01.01.2025
    Published in 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
  11. 11

    Analyzing LLM-Generated Code According to Four ISO/IEC 5055:2021 Categories by Krebs, Rasmus, Mazumdar, Somnath

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2025
    Published in 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 by Zhang, Chenxi, Liang, Yufei, Tan, Tian, Xu, Chang, Kan, Shuangxiang, Sui, Yulei, Li, Yue

    ISSN: 1558-1225
    Published: 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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    Conference Proceeding
  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 by V.V. Samarov

    ISSN: 2307-4205
    Published: 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
  14. 14

    Principled and Practical Static Analysis for Python by Rak-Amnouykit, Ingkarat

    ISBN: 9798302856081
    Published: ProQuest Dissertations & Theses 01.01.2024
    “…; however, static analysis tools to support software quality and productivity are largely…”
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    Dissertation
  15. 15

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

    ISSN: 2574-3864
    Published: 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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    Conference Proceeding
  16. 16

    MRSimulator: A cross-platform, object-oriented software package for rapid solid-state NMR spectral simulation and analysis by Srivastava, Deepansh J, Giammar, Matthew, Venetos, Maxwell C, McCarthy-Carney, Lexi, Grandinetti, Philip J

    ISSN: 1089-7690
    Published: United States 07.12.2024
    Published in 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
  17. 17

    Dataset of Program Source Codes Solving Unique Programming Exercises Generated by Digital Teaching Assistant by Demidova, Liliya A., Andrianova, Elena G., Sovietov, Peter N., Gorchakov, Artyom V.

    ISSN: 2306-5729, 2306-5729
    Published: Basel MDPI AG 01.06.2023
    Published in 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
  18. 18

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

    ISSN: 2994-970X, 2994-970X
    Published: 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
  19. 19

    Treefix: Enabling Execution with a Tree of Prefixes by Souza, Beatriz, Pradel, Michael

    ISSN: 1558-1225
    Published: IEEE 26.04.2025
    “…The ability to execute code is a prerequisite for various dynamic program analyses…”
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    Conference Proceeding
  20. 20

    Percolation theory using Python by Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Published: 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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    eBook Book