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

Percolation theory using Python von Malthe-Sørenssen, Anders

“… 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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Evaluating Python Static Code Analysis Tools Using FAIR Principles von 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 von 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 von 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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Methods and Benchmark for Detecting Cryptographic API Misuses in Python von 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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Detecting and Explaining Python Name Errors von 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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Generative Type Inference for Python von 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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Code2graph: Automatic Generation of Static Call Graphs for Python Source Code von 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 von 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 von 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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Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count von Ma, Xutong, Yan, Jiwei, Zhang, Hao, Yan, Jun, Zhang, Jian

“… 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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Declarative static analysis for multilingual programs using CodeQL von 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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A Study of Large Language Models in Detecting Python Code Violations von 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 von 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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VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python von 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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Statistics Using Python von Campesato, Oswald

“… 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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Decoding the JAK-STAT Axis in Colorectal Cancer with AI-HOPE-JAK-STAT: A Conversational Artificial Intelligence Approach to Clinical–Genomic Integration von 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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Principled and practical static analysis for Python: Weakest precondition inference of hyperparameter constraints von 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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DeVAIC: A tool for security assessment of AI-generated code von Cotroneo, Domenico, De Luca, Roberta, Liguori, Pietro

“… 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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PyAnalyzer: An Effective and Practical Approach for Dependency Extraction from Python Code von 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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