TESTING THE DYNAMIC EXECUTION OF PYTHON PROGRAM CODE DURING THE CERTIFICATION TESTING (DEVELOPMENT) STAGE IN THE CERTIFICATION SYSTEM OF THE MINISTRY OF DEFENSE OF RUSSIA

Authors: V.V. Samarov

Source: Надежность и качество сложных систем, Iss 2 (2023)

Subject Terms: certification tests of software products, 9. Industry and infrastructure, 4. Education, code profiling for dynamic analysis, dynamic code analysis of python programs, control of completeness and lack of redundancy at the level of files and functional objects, TL1-4050, 16. Peace & justice, Motor vehicles. Aeronautics. Astronautics

Access URL: https://doaj.org/article/17c480a498a44ff5b1681dc8eb177136

PyReach: A Multi-Agent Framework for Vulnerability Reachability Analysis in Python

Authors: Wang, Yueqin, Wu, Jingzheng, Ling, Xiang, Luo, Tianyue, Wang, Xu

Source: 2025 32nd Asia-Pacific Software Engineering Conference (APSEC) APSEC Software Engineering Conference (APSEC), 2025 32nd Asia-Pacific. :173-183 Dec, 2025

Relation: 2025 32nd Asia-Pacific Software Engineering Conference (APSEC)

DynaPyt: a dynamic analysis framework for Python

Authors: Eghbali, Aryaz, Pradel, Michael

Source: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. :760-771

Availability: http://dl.acm.org/doi/10.1145/3540250.3549126

GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation

Authors: Zong, Xing, Zheng, Shang ^⁎, Zou, Haitao, Yu, Hualong, Gao, Shang

Source: In Science of Computer Programming December 2024 238

SpotFlow: Tracking Method Calls and States at Runtime

Authors: Hora, Andre

Source: 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) ICSE-COMPANION Software Engineering: Companion Proceedings (ICSE-Companion), 2024 IEEE/ACM 46th International Conference on. :35-39 Apr, 2024

Relation: 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

Automatic and Dynamic Visualization of Process-Based Concurrent Programs

Authors: Farina, Daniel Augusto Rodrigues, Campiolo, Rodrigo, Rufino, José, Pereira, Maria João

Contributors: Biblioteca Digital do IPB

Subject Terms: E-Learning tool, System programming, Concurrent programming, Code instrumentation, Inspector functions, JSON, Konva JS, Canvas, Python, React JS, BPMN

File Description: application/pdf

Availability: http://hdl.handle.net/10198/29615

Localizer: A Visual Debugging Assistant for Python Programs

Authors: Khan, Shehroz, Sudheerbabu, Gaadha, Truscan, Dragos, Ahmad, Tanwir

Source: Proceedings of the 2nd ACM International Workshop on Future Debugging Techniques. :34-35

Availability: http://dl.acm.org/doi/10.1145/3678720.3685321

A Scaffolded Approach for Tracing Control-Flow in Simplified Python Programs

Authors: Kulindala, Gnaneswar, Srikanth, Anushka, Choppella, Venkatesh

Source: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1. :51-57

Availability: http://dl.acm.org/doi/10.1145/3724363.3729044

Measuring polymorphism in python programs

Authors: Åkerblom, Beatrice, Wrigstad, Tobias

Source: ACM SIGPLAN Notices - DLS '15. 51(2):114-128

Availability: http://dl.acm.org/doi/10.1145/2936313.2816717

A Multilanguage Static Analysis of Python Programs with Native C Extensions

Authors: Monat, Raphaël, Ouadjaout, Abdelraouf, Miné, Antoine

Contributors: Monat, Raphaël

Source: Lecture Notes in Computer Science ISBN: 9783030888053
Static Analysis-28th International Symposium, SAS 2021
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Static Analysis

Subject Terms: Multilanguage Analysis, Abstract Interpretation, Static Analysis, 0202 electrical engineering, electronic engineering, information engineering, Dynamic Programming Language, 02 engineering and technology, Formal Methods, [INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL]

File Description: application/pdf

Access URL: https://hal.archives-ouvertes.fr/hal-03313409/file/paper.pdf
https://hal.science/hal-03313409v1

Measuring Polymorphism in Python Programs

Authors: Åkerblom, Beatrice, Author, Wrigstad, Tobias, Author

Contributors: Åkerblom, Beatrice, Author, Wrigstad, Tobias, Author

Source: SIGPLAN notices. 51(2):114-128

Subject Terms: Python, dynamic languages, polymorphism, trace-based analysis

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-131566

rhodent: A python package for analyzing real-time TDDFT response

Authors: Fojt, Jakub, 1996, Author, Rossi, T. P., Author, Erhart, Paul, 1978, Author

Contributors: Fojt, Jakub, 1996, Author, Rossi, T. P., Author, Erhart, Paul, 1978, Author

Source: Plasmon-exciton coupling at the attosecond-subnanometer scale: Tailoring strong light-matter interactions at room temperature Fasbeteende och elektroniska egenskaper hos halogenid-perovskiter från simulering på atomskala Computer Physics Communications Data for rhodent: A Python package for analyzing real-time TDDFT response. 322

Subject Terms: Nanoparticle, Hot carrier, Plasmon, Time-dependent density functional theory

File Description: electronic

Access URL: https://research.chalmers.se/publication/550897
https://research.chalmers.se/publication/550897/file/550897_Fulltext.pdf

An empirical study of large language models for type and call graph analysis in Python and JavaScript.

Authors: Venkatesh, Ashwin Prasad Shivarpatna, Sunil, Rose, Sabu, Samkutty, Mir, Amir M., Reis, Sofia, Bodden, Eric

Source: Empirical Software Engineering; Dec2025, Vol. 30 Issue 6, p1-50, 50p

Security Evaluation of AI-Generated Code: A Comparative Study of ChatGPT, Copilot, And Gemini through Static and Dynamic Analysis.

Authors: Ceran, Onur

Source: Gazi Journal of Engineering Sciences (GJES) / Gazi Mühendislik Bilimleri Dergisi; Aug2025, Vol. 11 Issue 2, p304-320, 17p

Subject Terms: Generative artificial intelligence, Computer software security, ChatGPT, Computer software development, Web-based user interfaces

NAS Parallel Benchmarks with Python: a performance and programming effort analysis focusing on GPUs.

Authors: Di Domenico, Daniel, Lima, João V. F., Cavalheiro, Gerson G. H.

Source: Journal of Supercomputing; May2023, Vol. 79 Issue 8, p8890-8911, 22p

Subject Terms: Python programming language, FORTRAN, C++

Collective Intelligence for Smarter API Recommendations in Python

Authors: D Souza, Andrea Renika

Subject Terms: Computer science, API Recommendations, API Usage Mining, Code completion, Dynamic languages, Program Analysis, Python

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/9gj3z9j0
https://escholarship.org/content/qt9gj3z9j0/qt9gj3z9j0.pdf

Hybrid Information Flow Analysis for Python Bytecode

Authors: Chen, Zhifei, Chen, Lin, Xu, Baowen

Source: 2014 11th Web Information System and Application Conference Web Information System and Application Conference (WISA), 2014 11th. :95-100 Sep, 2014

Relation: 2014 11th Web Information System and Application Conference (WISA)

VASPKIT: A user-friendly interface facilitating high-throughput computing and analysis using VASP code

Authors: Wang, Vei, Xu, Nan, Liu, Jin-Cheng, Tang, Gang, Geng, Wen-Tong

Source: Computer Physics Communications, 267, 108033 (2021-10)

Subject Terms: Elastic mechanics, Electronic properties, High-throughput, Molecular dynamics, Optical properties, Wave-function, Command line, High-throughput analysis, Input files, Interactive user interfaces, Optical-, Property, User friendly interface, Hardware and Architecture, Physics and Astronomy (all), Physics - Materials Science, General Physics and Astronomy, Engineering, computing & technology, Materials science & engineering, Ingénierie, informatique & technologie, Science des matériaux & ingénierie

Relation: https://api.elsevier.com/content/article/PII:S0010465521001454?httpAccept=text/xml; urn:issn:0010-4655; urn:issn:1879-2944

Access URL: https://orbi.uliege.be/handle/2268/289854

Chapter 9 - Program performance optimization

Authors: Sun, Qiming

Source: In Theoretical and Computational Chemistry 2025 23:305-394

SporTran: A code to estimate transport coefficients from the cepstral analysis of (multivariate) current time series

Authors: Ercole, Loris ^{a, b}, Bertossa, Riccardo ^b, Bisacchi, Sebastiano ^{b, c}, Baroni, Stefano ^{b, d, ⁎}

Source: In Computer Physics Communications November 2022 280