Suchergebnisse - (( (state OR stat) python code analysis ) OR ( (static OR stateeeeen) python code analysis ))~

  1. 1

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

    ISSN: 0098-5589, 1939-3520
    Veröffentlicht: New York IEEE 01.05.2024
    Veröffentlicht 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

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

    ISSN: 1538-4365, 0067-0049, 1538-4365
    Veröffentlicht: United States 01.02.2015
    Veröffentlicht in The Astrophysical journal. Supplement series (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
  3. 3

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

    ISSN: 0950-5849
    Veröffentlicht: Elsevier B.V 01.01.2025
    Veröffentlicht 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
  4. 4

    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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    Tagungsbericht
  5. 5

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

    ISBN: 1665402962, 9781665402965
    ISSN: 1558-1225
    Veröffentlicht: 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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  6. 6

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

    ISSN: 0098-3004, 1873-7803
    Veröffentlicht: Elsevier Ltd 01.11.2014
    Veröffentlicht 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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  7. 7

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

    ISSN: 2576-9103
    Veröffentlicht: 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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  8. 8

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

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2025
    Veröffentlicht 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
  9. 9

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

    ISSN: 1558-1225
    Veröffentlicht: 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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  10. 10

    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 von V.V. Samarov

    ISSN: 2307-4205
    Veröffentlicht: 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
  11. 11

    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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    Tagungsbericht
  12. 12

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

    ISSN: 1089-7690
    Veröffentlicht: United States 07.12.2024
    Veröffentlicht 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 …”
    Weitere Angaben
    Journal Article
  13. 13

    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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    Journal Article
  14. 14

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

    ISSN: 1558-1225
    Veröffentlicht: IEEE 26.04.2025
    “… The ability to execute code is a prerequisite for various dynamic program analyses …”
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  15. 15

    Percolation theory using Python von Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Veröffentlicht: 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-Book Buch
  16. 16

    Legacy Code, Live Risk: Empirical Evidence of Malware Detection Gaps von Huang, Gang-Cheng, Lai, Tai-Hung

    ISSN: 2076-3417, 2076-3417
    Veröffentlicht: Basel MDPI AG 01.11.2025
    Veröffentlicht in Applied sciences (01.11.2025)
    “… Our results reveal significant detection gaps: loaders compiled in legacy languages (Fortran, COBOL) consistently evade static and dynamic antivirus engines that easily flag their C …”
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  17. 17

    SAGA: Detecting Security Vulnerabilities Using Static Aspect Analysis von Marquer, Yoann, Bianculli, Domenico, Briand, Lionel C

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 21.01.2026
    Veröffentlicht in arXiv.org (21.01.2026)
    “… However, existing state-of-the-art analysis tools for Python only support a few vulnerability types …”
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  18. 18

    Is Quantization a Deal-Breaker? Empirical Insights From Large Code Models von Afrin, Saima, Xu, Bowen, Mastropaolo, Antonio

    ISSN: 2576-3148
    Veröffentlicht: IEEE 07.09.2025
    “… ). While recent studies have established quantization as a promising approach for optimizing large code models (LCMs …”
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  19. 19

    Facial Emotion-Based Stress Analysis Using Python von Shaheed, Mohammad, Venkateshwarlu, Dr. S China, Nagaraju, Dr. V Siva, Bhavani, Ms. P Ganga

    ISSN: 2582-3930, 2582-3930
    Veröffentlicht: 31.05.2025
    “… In the current fast-paced world, tracking mental health has become imperative. This project demonstrates a real- time stress detection and analysis system based on facial emotion recognition through deep learning approaches …”
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    Journal Article
  20. 20

    Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning von Zhao, Wenting, Ibrahim, Abdelaziz, Dolby, Julian, Srinivas, Kavitha, Helali, Mossad, Mansour, Essam

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 05.01.2023
    Veröffentlicht in arXiv.org (05.01.2023)
    “… This flexibility, however, makes static analysis very hard. While creating a sound, or a soundy, analysis for Python remains an open problem, we present in this work Serenity …”
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