Semantic Versioning for Python Programs

Συγγραφείς: Carvalho, Luís

Συνεισφορές: NOVALincs, RUN

Θεματικοί όροι: Software evolution, type theory, Artificial Intelligence, Human-Computer Interaction, Software

Περιγραφή αρχείου: application/pdf

Relation: 979-8-4007-0384-3; PURE: 83888407

Διαθεσιμότητα: http://hdl.handle.net/10362/164728

Leveraging LLMs for abstracting UML and OCL representations from Java and Python programs

Συγγραφείς: Siala, Hanan Abdulwahab ^⁎, Lano, Kevin

Πηγή: In The Journal of Systems & Software August 2026 238

Student Perceptions of Learning through Original and AI-Generated Python Programs from a Software Quality Perspective

Συγγραφείς: Mark Frydenberg, Anqi Xu, Jennifer Xu

Πηγή: Information Systems Education Journal. 2025 23(4):34-56.

Peer Reviewed: Y

Page Count: 23

Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance, Artificial Intelligence, Computer Science Education, Evaluation, Introductory Courses, Problem Based Learning, Coding, College Students

Towards understanding the security issues of Python programs

Συγγραφείς: Fan, Hongcheng, Liu, Di, Wu, Jielun, Feng, Yang, Shi, Qingkai, Xu, Baowen

Πηγή: Proceedings of the 16th International Conference on Internetware. :1-12

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3755881.3755886

Visual Spectrum-Based Fault Localization for Python Programs Based on the Differentiation of Execution Slices

Συγγραφείς: Khan, Shehroz, Sudheerbabu, Gaadha, Staicu, Bianca Elena, Ahmad, Tanwir, Truscan, Dragos

Πηγή: 2025 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) Software Testing, Verification and Validation Workshops (ICSTW), 2025 IEEE International Conference on. :217-225 Mar, 2025

Relation: 2025 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)

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

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

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

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

An Error-Aware Automatic Grading Framework for Python Programs Based on Structural-Semantic Similarity

Συγγραφείς: Xue Han, Jinwei Wang, Jiayi Che

Πηγή: 2025 6th International Conference on Information Science and Education (ICISE-IE). :294-298

The Fascinating Path of Prime Numbers - With Python programs

Συγγραφείς: Gabbianelli, Silvio

ESBMC-Python: A Bounded Model Checker for Python Programs

Συγγραφείς: Farias, Bruno, Menezes, Rafael, de Lima Filho, Eddie B., Sun, Youcheng, Cordeiro, Lucas C.

Πηγή: Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis. :1836-1840

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3650212.3685304

Type-aware LLM-based Regression Test Generation for Python Programs

Συγγραφείς: Liu, Runlin, Zhang, Zhe, Hu, Yunge, Lin, Yuhang, Gao, Xiang, Sun, Hailong

Θεματικοί όροι: Software Engineering

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2503.14000

Using LLMs to Extract UML Class Diagrams from Java and Python Programs:An Empirical Study

Συγγραφείς: Siala, Hanan, Lano, Kevin

Πηγή: Siala, H & Lano, K 2025, 'Using LLMs to Extract UML Class Diagrams from Java and Python Programs : An Empirical Study', CEUR Workshop Proceedings, vol. 4122.

Θεματικοί όροι: Unified Modeling Language (UML), Machine Learning, Python programs, Model-driven Reverse Engineering (MDRE), UML Class Diagram, Large Language Models (LLMs), Java programs

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://kclpure.kcl.ac.uk/ws/files/362383754/Using_LLMs_to_extract_UML_class_diagrams_from_Java_and_Version_of_Record.pdf
https://kclpure.kcl.ac.uk/portal/en/publications/73e37044-11bc-48ac-8cff-42d183c617b6
https://ceur-ws.org/Vol-4122/

Using LLMs to Extract OCL Specifications from Java and Python Programs:An Empirical Study

Συγγραφείς: Siala, Hanan, Lano, Kevin

Πηγή: Siala, H & Lano, K 2025, 'Using LLMs to Extract OCL Specifications from Java and Python Programs : An Empirical Study', CEUR Workshop Proceedings, vol. 4122.

Θεματικοί όροι: Machine Learning, Python programs, Object Constraint Language (OCL), Large Language Models (LLMs), Java programs, Reverse engineering

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://kclpure.kcl.ac.uk/ws/files/362382813/Using_LLMs_to_extract_OCL_specifications_from_Java_and_Python_programs_Version_of_Record.pdf
https://kclpure.kcl.ac.uk/portal/en/publications/1badd32b-4bb5-4104-8a41-f0d7543d96bc
https://ceur-ws.org/Vol-4122/

Empirical Evaluation of Maintainability Index Accuracy for Measuring Maintainability of Python Programs*

Συγγραφείς: Morrison, Rachael, Wedyan, Fadi, Abuomar, Osama Sam

Πηγή: 2023 Tenth International Conference on Software Defined Systems (SDS) Software Defined Systems (SDS), 2023 Tenth International Conference on. :1-5 Oct, 2023

Relation: 2023 Tenth International Conference on Software Defined Systems (SDS)

Discovering Parallelisms in Python Programs

Συγγραφείς: Wei, Siwei, Song, Guyang, Zhu, Senlin, Ruan, Ruoyi, Zhu, Shihao, Cai, Yan

Πηγή: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. :832-844

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3611643.3616259

How Dynamic Features Affect API Usages? An Empirical Study of API Misuses in Python Programs

Συγγραφείς: He, Xincheng, Liu, Xiaojin, Xu, Lei, Xu, Baowen

Πηγή: 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) SANER Software Analysis, Evolution and Reengineering (SANER), 2023 IEEE International Conference on. :522-533 Mar, 2023

Relation: 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)

Poster: Improving Spectrum Based Fault Localization For Python Programs Using Weighted Code Elements

Συγγραφείς: Sarhan, Qusay Idrees, Beszedes, Arpad

Πηγή: 2023 IEEE Conference on Software Testing, Verification and Validation (ICST) ICST Software Testing, Verification and Validation (ICST), 2023 IEEE Conference on. :478-481 Apr, 2023

Relation: 2023 IEEE Conference on Software Testing, Verification and Validation (ICST)

Automatic Generation of Python Programs Using Context-Free Grammars

Συγγραφείς: Yamani, Kamel, Naïr, Marwa, Baghdadi, Riyadh

Θεματικοί όροι: Computer Science - Programming Languages, Computer Science - Computation and Language, Computer Science - Machine Learning

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2403.06503

An Approach for Automatically Generating Traces for Python Programs

Συγγραφείς: Zhong, Xiaoting, Zhang, Nan, Duan, Zhenhua

Πηγή: 2022 9th International Conference on Dependable Systems and Their Applications (DSA) DSA Dependable Systems and Their Applications (DSA), 2022 9th International Conference on. :262-268 Aug, 2022

Relation: 2022 9th International Conference on Dependable Systems and Their Applications (DSA)

Using Python programs to process data from unmanned aerial vehicles for forest fire monitoring

Συγγραφείς: Kh. Moldamurat, D. Kalmanova, A. Bazarbek, S. Atanov, N. Yryskeldi

Πηγή: Bulletin of the L.N. Gumilyov Eurasian National University. Technical Science and Technology Series. 153:139-151

BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies

Συγγραφείς: Widyasari, Ratnadira, Sim, Sheng Qin, Lok, Camellia, Qi, Haodi, Phan, Jack, Tay, Qijin, Tan, Constance, Wee, Fiona, Tan, Jodie Ethelda, Yieh, Yuheng, Goh, Brian, Thung, Ferdian, Kang, Hong Jin, Hoang, Thong, Lo, David, Ouh, Eng Lieh

Πηγή: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2020) 1556-1560

Θεματικοί όροι: Computer Science - Software Engineering

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2401.15481