Search Results - Static 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

    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
  4. 4

    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
  5. 5

    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
  6. 6

    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
  7. 7

    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
  8. 8

    Static Analysis for AWS Best Practices in Python Code by Mukherjee, Rajdeep, Tripp, Omer, Liblit, Ben, Wilson, Michael

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 09.05.2022
    Published in arXiv.org (09.05.2022)
    “… This paper presents automated static analysis rules, developed in the context of a commercial service for detection of code defects and security vulnerabilities, to identify deviations from AWS best…”
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    Paper
  9. 9

    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
  10. 10

    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
  11. 11

    A Language-agnostic Framework for Mining Static Analysis Rules from Code Changes by Effendi, Sedick David Baker, Cirisci, Berk, Mukherjee, Rajdeep, Nguyen, Hoan Anh, Tripp, Omer

    ISSN: 2832-7659
    Published: IEEE 01.05.2023
    “…Static analysis tools detect a wide range of code defects, including code quality issues, security vulnerabilities, operational risks, and best-practice violations…”
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    Conference Proceeding
  12. 12

    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
  13. 13

    Discovery of Modularity in Monolithic Java Project Codes Using Complex Networks by Brito Jr, Marcos Cordeiro de Brito Jr, Bianchini, Calebe P., Silva, Leandro A.

    ISSN: 1540-9589, 1544-5976
    Published: Milan River Publishers 25.09.2025
    Published in Journal of web engineering (25.09.2025)
    “… This work proposes the use of complex networks through the NetworkX library in Python, using modularity detection algorithms for the static analysis of Java code…”
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    Journal Article
  14. 14

    Does it matter who pays back Technical Debt? An empirical study of self-fixed TD by Tan, Jie, Feitosa, Daniel, Avgeriou, Paris

    ISSN: 0950-5849, 1873-6025
    Published: Elsevier B.V 01.03.2022
    Published in Information and software technology (01.03.2022)
    “…, as developers are experts in their own code and are well-suited to fix the corresponding TD issues…”
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    Journal Article
  15. 15

    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
  16. 16

    Evaluating test quality of Python libraries for IoT applications at the network edge by Chen, Zhifei, Jia, Chiheng, Chen, Lin

    ISSN: 1022-0038, 1572-8196
    Published: New York Springer US 01.10.2024
    Published in Wireless networks (01.10.2024)
    “… Due to the difficulty of static program analysis on dynamic languages, the quality of test code in Python libraries for IoT development faces a serious threat, which in turn affects the performance of IoT applications…”
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    Journal Article
  17. 17

    Automation and Genetic Algorithm Optimization for Seismic Modeling and Analysis of Tall RC Buildings by Cabrera, Piero A., Medina, Gianella M., Delgadillo, Rick M.

    ISSN: 2075-5309, 2075-5309
    Published: Basel MDPI AG 01.10.2025
    Published in Buildings (Basel) (01.10.2025)
    “…This article presents an innovative approach to optimizing the seismic modeling and analysis of high-rise buildings by automating the process with Python 3.13 and the ETABS 22.1.0 API…”
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    Journal Article
  18. 18

    Automated Approach to IaC Code Inspection Using Python-Based DevSecOps Tool by Petrovic, Nenad, Cankar, Matija, Luzar, Anze

    Published: IEEE 15.11.2022
    “… In this paper, we present an open-source Python-based tool with web-based graphical interface which enables automation of static code analysis and checks when it comes to Infrastructure as Code (IaC) scripts…”
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    Conference Proceeding
  19. 19

    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
  20. 20

    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