Výsledky vyhľadávania - (( (stateed OR stat) python code analysis ) OR ( (static OR stateen) python code analysis ))

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

“…The quality of modern software relies heavily on the effective use of static code analysis tools…”
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Code Analysis with Static Application Security Testing for Python Program Autor Ma, Li, Yang, Huihong, Xu, Jianxiong, Yang, Zexian, Lao, Qidi, Yuan, Dong

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

“…A static analysis method is one of the popular methods of software code analysis…”
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Generative Type Inference for Python Autor Peng, Yun, Wang, Chaozheng, Wang, Wenxuan, Gao, Cuiyun, Lyu, Michael R.

“…Python is a popular dynamic programming language, evidenced by its ranking as the second most commonly used language on GitHub…”
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Detecting and Explaining Python Name Errors Autor Wang, Jiawei, Li, Li, Liu, Kui, Du, Xiaoning

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

“… The current static code analysis tools for Python are unable to scan the increasing complexity of the source code…”
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Code2graph: Automatic Generation of Static Call Graphs for Python Source Code Autor Gharibi, Gharib, Tripathi, Rashmi, Lee, Yugyung

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

“… 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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Towards Effective Static Type-Error Detection for Python Autor Oh, Wonseok, Oh, Hakjoo

“… 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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Declarative static analysis for multilingual programs using CodeQL Autor Youn, Dongjun, Lee, Sungho, Ryu, Sukyoung

“…Summary Declarative static program analysis has become one of the widely‐used program analysis techniques…”
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VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python Autor Wartschinski, Laura, Noller, Yannic, Vogel, Thomas, Kehrer, Timo, Grunske, Lars

“…Identifying potential vulnerable code is important to improve the security of our software systems…”
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SecureQwen: Leveraging LLMs for vulnerability detection in python codebases Autor Mechri, Abdechakour, Ferrag, Mohamed Amine, Debbah, Merouane

“…Identifying vulnerabilities in software code is crucial for ensuring the security of modern systems…”
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A Study of Large Language Models in Detecting Python Code Violations Autor Mohammed Salih, Hekar A., Sarhan, Qusay I.

“… 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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PyTy: Repairing Static Type Errors in Python Autor Chow, Yiu Wai, Di Grazia, Luca, Pradel, Michael

“… As more and more code bases get type-annotated, static type checkers detect an increasingly large number of type errors…”
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Principled and practical static analysis for Python: Weakest precondition inference of hyperparameter constraints Autor Rak‐amnouykit, Ingkarat, Milanova, Ana, Baudart, Guillaume, Hirzel, Martin, Dolby, Julian

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

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

“…Dependency extraction based on static analysis lays the ground-work for a wide range of applications…”
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Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial Autor Smith, Matthew J., Mansournia, Mohammad A., Maringe, Camille, Zivich, Paul N., Cole, Stephen R., Leyrat, Clémence, Belot, Aurélien, Rachet, Bernard, Luque‐Fernandez, Miguel A.

“…The main purpose of many medical studies is to estimate the effects of a treatment or exposure on an outcome. However, it is not always possible to randomize…”
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Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count Autor Ma, Xutong, Yan, Jiwei, Zhang, Hao, Yan, Jun, Zhang, Jian

“…Third-party Python modules are usually implemented as binary extensions by using native code (C/C++…”
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Towards an understanding of memory leak patterns: an empirical study in Python Autor Chen, Jie, Yu, Dongjin, Hu, Haiyang

“… 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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