Search Results - (( (statu OR stat) python code analysis ) OR ( (static OR stateeen) python code analysis ))

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Source: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p

Subject Terms: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

CQLLM: A Framework for Generating CodeQL Security Vulnerability Detection Code Based on Large Language Model.

Authors: Wang, Le Chen, Chan Zhu, Junyi et al.

Source: Applied Sciences (2076-3417); Jan2026, Vol. 16 Issue 1, p517, 17p

Subject Terms: COMPUTER security vulnerabilities, LANGUAGE models, COMPUTER software correctness, SOFTWARE frameworks, PENETRATION testing (Computer security), CODE generators

Automating fuzz driver generation for deep learning libraries with large language models.

Authors: Zheng, Tianming Meng, Fanchao Yi, Ping et al.

Source: Cybersecurity (2523-3246); 1/4/2026, Vol. 9 Issue 1, p1-21, 21p

Subject Terms: LANGUAGE models, COMPUTER software testing, TEST systems, STATISTICAL reliability, MECHANIZATION

Research on Binary Decompilation Optimization Based on Fine-Tuned Large Language Models for Vulnerability Detection.

Authors: Wang, Yidan Mao, Deming Han, Ye et al.

Source: Electronics (2079-9292); Jan2026, Vol. 15 Issue 1, p8, 21p

Subject Terms: LANGUAGE models, COMPUTER software security, MATHEMATICAL optimization, PENETRATION testing (Computer security), REVERSE engineering, PROGRAM transformation

Dataset of Program Source Codes Solving Unique Programming Exercises Generated by Digital Teaching Assistant.

Authors: Demidova, Liliya A. Andrianova, Elena G. Sovietov, Peter N. et al.

Source: Data (2306-5729); Jun2023, Vol. 8 Issue 6, p109, 16p

Subject Terms: TEACHERS' assistants, PYTHON programming language, CLASSIFICATION algorithms, HIERARCHICAL clustering (Cluster analysis), MARKOV processes, SOURCE code, ALGORITHMS

Automation of Software Code Analysis Using Machine Learning Methods.

Authors: Moshkin, V. S. Dyrnochkin, A. A. Yarushkina, N. G.

Source: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p

JDroid: Android malware detection using hybrid opcode feature vector.

Authors: Arslan, Recep Sinan

Source: PeerJ Computer Science; Jul2025, p1-30, 30p

Subject Terms: MALWARE, MACHINE learning, DATA analytics, INFORMATION technology security, ENSEMBLE learning

Reviews & Products: ANDROID (Operating system)

Programmed differently? Testing for gender differences in Python programming style and quality on GitHub.

Authors: Brooke, Siân

Source: Journal of Computer-Mediated Communication; Jan2024, Vol. 29 Issue 1, p1-13, 13p

Subject Terms: PYTHON programming language, PYTHONS, RANDOM forest algorithms, GENDER

Keyword-labeled self-admitted technical debt and static code analysis have significant relationship but limited overlap.

Authors: Rantala, Leevi Mäntylä, Mika Lenarduzzi, Valentina

Source: Software Quality Journal; Jun2024, Vol. 32 Issue 2, p391-429, 39p

Subject Terms: DEBT, COMPUTER software development, MAINTAINABILITY (Engineering)

A 1985–2023 time series dataset of absolute reservoir storage in Mainland Southeast Asia (MSEA-Res).

Authors: Mahto, Shanti Shwarup Fatichi, Simone Galelli, Stefano

Source: Earth System Science Data; 2025, Vol. 17 Issue 6, p2693-2712, 20p

Subject Terms: WATER demand management, WATER levels, TIME series analysis, WATER supply, WATERSHEDS

Mathematical Model of the Software Development Process with Hybrid Management Elements.

Authors: Semenov, Serhii Tsukur, Volodymyr Molokanova, Valentina et al.

Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11667, 44p

Subject Terms: COMPUTER software development, AGILE software development, TELEMETRY, PREDICTION models, INTERDISCIPLINARY research, EPISTEMIC uncertainty, RISK assessment

An extensive study of the effects of different deep learning models on code vulnerability detection in Python code.

Authors: Wang, Rongcun Xu, Senlei Ji, Xingyu et al.

Source: Automated Software Engineering; Jun2024, Vol. 31 Issue 1, p1-35, 35p

SparseCoder: Advancing source code analysis with sparse attention and learned token pruning.

Authors: Yang, Xueqi Jakubowski, Mariusz Kang, Li et al.

Source: Empirical Software Engineering; Feb2025, Vol. 30 Issue 1, p1-30, 30p

Towards an understanding of memory leak patterns: an empirical study in Python.

Authors: Chen, Jie Yu, Dongjin Hu, Haiyang

Source: Software Quality Journal; Dec2023, Vol. 31 Issue 4, p1303-1330, 28p

Subject Terms: COLLECTIVE memory, MEMORY, SHORT-term memory, EMPIRICAL research, LEAK detection

Analysis of Program Representations Based on Abstract Syntax Trees and Higher-Order Markov Chains for Source Code Classification Task.

Authors: Gorchakov, Artyom V. Demidova, Liliya A. Sovietov, Peter N.

Source: Future Internet; Sep2023, Vol. 15 Issue 9, p314, 28p

Subject Terms: MARKOV processes, K-nearest neighbor classification, SUPPORT vector machines, SOURCE code, SYNTAX (Grammar), CLASSIFICATION algorithms

ProgEdu4Web: An automated assessment tool for motivating the learning of web programming course.

Authors: Duong, Hoang‐Thanh Chen, Hsi‐Min

Source: Computer Applications in Engineering Education; Sep2024, Vol. 32 Issue 5, p1-17, 17p

Subject Terms: COMPUTER software industry, COMPUTER software development, SOURCE code, SYSTEMS design, QUALITY assurance

Exploring Applications and Practical Examples by Streamlining Material Requirements Planning (MRP) with Python.

Authors: Reis, João

Source: Logistics (2305-6290); Dec2023, Vol. 7 Issue 4, p91, 19p

Subject Terms: MATERIAL requirements planning, PYTHON programming language, ENTERPRISE resource planning, PYTHONS, SUPPLY chain management

State of the interactomes: an evaluation of molecular networks for generating biological insights.

Authors: Wright, Sarah N Colton, Scott Schaffer, Leah V et al.

Source: Molecular Systems Biology; Jan2025, Vol. 21 Issue 1, p1-29, 29p

Subject Terms: SYSTEMS biology, LIFE sciences, REGULATOR genes, BIOLOGICAL systems, BIOLOGICAL networks

Python Code Smell Refactoring Route Generation Based on Association Rule and Correlation.

Authors: Wang, Guanglei Chen, Junhua Gao, Jianhua et al.

Source: International Journal of Software Engineering & Knowledge Engineering; Sep2021, Vol. 31 Issue 9, p1329-1347, 19p

Subject Terms: PYTHON programming language, COMPUTER software quality control, SOFTWARE architecture, SMELL, RANK correlation (Statistics), DESIGN software

DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 Generate Correct Code for LoRaWAN-Related Engineering Tasks.

Authors: Fernandes, Daniel Matos-Carvalho, João P. Fernandes, Carlos M. et al.

Source: Electronics (2079-9292); Apr2025, Vol. 14 Issue 7, p1428, 24p

Subject Terms: LANGUAGE models, GENERATIVE pre-trained transformers, GENERATING functions, RESEARCH questions, NATURAL languages