Search Results - (static OR statni) python code analysis

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  1. 1

    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
  2. 2

    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
  3. 3

    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
  4. 4

    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
  5. 5

    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
  6. 6

    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
  7. 7

    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
  8. 8

    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
  9. 9

    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
  10. 10

    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
  11. 11

    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
  12. 12

    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
  13. 13

    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
  14. 14

    Principled and practical static analysis for Python: Weakest precondition inference of hyperparameter constraints by Rak‐amnouykit, Ingkarat, Milanova, Ana, Baudart, Guillaume, Hirzel, Martin, Dolby, Julian

    ISSN: 0038-0644, 1097-024X
    Published: Bognor Regis Wiley Subscription Services, Inc 01.03.2024
    Published in Software, practice & experience (01.03.2024)
    “…‐precondition analysis for Python to extract inter‐argument constraints. The analysis is mostly static, but to make it tractable for typical Python idioms, it selectively switches to the concrete domain for some cases…”
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    Journal Article
  15. 15

    PyAnalyzer: An Effective and Practical Approach for Dependency Extraction from Python Code by Jin, Wuxia, Xu, Shuo, Chen, Dawei, He, Jiajun, Zhong, Dinghong, Fan, Ming, Chen, Hongxu, Zhang, Huijia, Liu, Ting

    ISSN: 1558-1225
    Published: ACM 14.04.2024
    “…Dependency extraction based on static analysis lays the ground-work for a wide range of applications…”
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    Conference Proceeding
  16. 16

    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
  17. 17

    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
    “…Third-party Python modules are usually implemented as binary extensions by using native code (C/C++…”
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    Conference Proceeding
  18. 18

    Towards an understanding of memory leak patterns: an empirical study in Python by Chen, Jie, Yu, Dongjin, Hu, Haiyang

    ISSN: 0963-9314, 1573-1367
    Published: New York Springer US 01.12.2023
    Published in Software quality journal (01.12.2023)
    “… Indeed, runtime leak detection is time consuming and usually done after the fact, while manual code inspection requires rich developer experience…”
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    Journal Article
  19. 19

    Static analysis driven enhancements for comprehension in machine learning notebooks by Venkatesh, Ashwin Prasad Shivarpatna, Sabu, Samkutty, Chekkapalli, Mouli, Wang, Jiawei, Li, Li, Bodden, Eric

    ISSN: 1382-3256, 1573-7616
    Published: New York Springer US 01.09.2024
    “…Jupyter notebooks have emerged as the predominant tool for data scientists to develop and share machine learning solutions, primarily using Python as the programming language…”
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    Journal Article
  20. 20

    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