Search Results - (( (staten OR stat) python code analysis ) OR ( (state OR static) python code analysis ))

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  1. 1

    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
  2. 2

    LiPydomics: A Python Package for Comprehensive Prediction of Lipid Collision Cross Sections and Retention Times and Analysis of Ion Mobility-Mass Spectrometry-Based Lipidomics Data by Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

    ISSN: 1520-6882
    Published: United States 17.11.2020
    Published in Analytical chemistry (Washington) (17.11.2020)
    “… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification…”
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    Journal Article
  3. 3

    Statistics Using Python by Campesato, Oswald

    ISBN: 9781683928805, 1683928806
    Published: 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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    eBook
  4. 4

    Decoding the JAK-STAT Axis in Colorectal Cancer with AI-HOPE-JAK-STAT: A Conversational Artificial Intelligence Approach to Clinical–Genomic Integration by Yang, Ei-Wen, Waldrup, Brigette, Velazquez-Villarreal, Enrique

    ISSN: 2072-6694, 2072-6694
    Published: Switzerland MDPI AG 17.07.2025
    Published in Cancers (17.07.2025)
    “…: AI-HOPE-JAK-STAT combines large language models (LLMs), a natural language-to-code engine, and harmonized public CRC datasets from cBioPortal…”
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    Journal Article
  5. 5

    From code to reliability: Python-powered Paraconsistent Logic for alarm detection in the power gris/ Do codigo a confiabilidade: Logica Paraconsistente impulsionada por Python para a deteccao de alarmes na rede de energia by de Oliveira, Joseffe Barroso, Gino, Joao Vitor Santa Rosa, de Lima, Carlos Jose, Filho, Joao Inacio da Silva

    ISSN: 2178-9010, 2178-9010
    Published: Sindicato das Secretarias e Secretarios do Estado de Sao Paulo 01.10.2023
    Published in GeSec : Revista de Gestão e Secretariado (01.10.2023)
    “… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis…”
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    Journal Article
  6. 6

    Evaluating Python Static Code Analysis Tools Using FAIR Principles by Hassan, Hassan Bapeer, Sarhan, Qusay Idrees, Beszedes, Arpad

    ISSN: 2169-3536, 2169-3536
    Published: IEEE 2024
    Published in IEEE access (2024)
    “…The quality of modern software relies heavily on the effective use of static code analysis tools…”
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    Journal Article
  7. 7

    Code Analysis with Static Application Security Testing for Python Program by Ma, Li, Yang, Huihong, Xu, Jianxiong, Yang, Zexian, Lao, Qidi, Yuan, Dong

    ISSN: 1939-8018, 1939-8115
    Published: New York Springer US 01.11.2022
    Published in Journal of signal processing systems (01.11.2022)
    “…With the increasing popularity of Python for project development, code security and quality have become severe issues for the past few years…”
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    Journal Article
  8. 8

    Static Analysis of Corpus of Source Codes of Python Applications by Kapustin, D. A., Shvyrov, V. V., Shulika, T. I.

    ISSN: 0361-7688, 1608-3261
    Published: Moscow Pleiades Publishing 01.08.2023
    Published in Programming and computer software (01.08.2023)
    “…A static analysis method is one of the popular methods of software code analysis…”
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    Journal Article
  9. 9

    Generative Type Inference for Python by Peng, Yun, Wang, Chaozheng, Wang, Wenxuan, Gao, Cuiyun, Lyu, Michael R.

    ISSN: 2643-1572
    Published: IEEE 11.09.2023
    “…Python is a popular dynamic programming language, evidenced by its ranking as the second most commonly used language on GitHub…”
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    Conference Proceeding
  10. 10

    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
  11. 11

    Detecting and Explaining Python Name Errors by Wang, Jiawei, Li, Li, Liu, Kui, Du, Xiaoning

    ISSN: 0950-5849
    Published: Elsevier B.V 01.02.2025
    Published in Information and software technology (01.02.2025)
    “… To fill this gap, we propose in this work a static analysis-based approach called DENE (short for Detecting and Explaining Name Errors…”
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    Journal Article
  12. 12

    Code2graph: Automatic Generation of Static Call Graphs for Python Source Code by Gharibi, Gharib, Tripathi, Rashmi, Lee, Yugyung

    ISSN: 2643-1572
    Published: ACM 01.09.2018
    “… However, there is a lack of software tools that can automatically analyze the Python source-code and construct its static call graph…”
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    Conference Proceeding
  13. 13

    KG4Py: A toolkit for generating Python knowledge graph and code semantic search by Liang, Lu, Li, Yong, Wen, Ming, Liu, Ying

    ISSN: 0954-0091, 1360-0494
    Published: Abingdon Taylor & Francis 31.12.2022
    Published in Connection science (31.12.2022)
    “… In KG4Py, we remove all duplicate files in 317 K Python files and perform static code analyses of these files by using a concrete syntax tree (CST…”
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    Journal Article
  14. 14

    Towards Effective Static Type-Error Detection for Python by Oh, Wonseok, Oh, Hakjoo

    ISSN: 2643-1572
    Published: ACM 27.10.2024
    “… This empirical investigation revealed four key static-analysis features that are crucial for the effective detection of Python type errors in practice…”
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    Conference Proceeding
  15. 15

    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
  16. 16

    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
  17. 17

    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
  18. 18

    Declarative static analysis for multilingual programs using CodeQL by Youn, Dongjun, Lee, Sungho, Ryu, Sukyoung

    ISSN: 0038-0644, 1097-024X
    Published: Bognor Regis Wiley Subscription Services, Inc 01.07.2023
    Published in Software, practice & experience (01.07.2023)
    “…Summary Declarative static program analysis has become one of the widely‐used program analysis techniques…”
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    Journal Article
  19. 19

    VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python by Wartschinski, Laura, Noller, Yannic, Vogel, Thomas, Kehrer, Timo, Grunske, Lars

    ISSN: 0950-5849, 1873-6025
    Published: Elsevier B.V 01.04.2022
    Published in Information and software technology (01.04.2022)
    “…Identifying potential vulnerable code is important to improve the security of our software systems…”
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    Journal Article
  20. 20

    SecureQwen: Leveraging LLMs for vulnerability detection in python codebases by Mechri, Abdechakour, Ferrag, Mohamed Amine, Debbah, Merouane

    ISSN: 0167-4048
    Published: Elsevier Ltd 01.01.2025
    Published in Computers & security (01.01.2025)
    “…Identifying vulnerabilities in software code is crucial for ensuring the security of modern systems…”
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    Journal Article