Search Results - "python code"

A Python Code Extraction and Analysis Method—Theoretical and Empirical Research

Source: Computer Science and Application. 16:268-280

A Study of Large Language Models in Detecting Python Code Violations

Authors: Hekar A. Mohammed Salih Qusay I. Sarhan

Source: ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY. 13:215-225

LLM-Assisted Translation and Bounded Model Checking of Python Code

Authors: Shivaji, Shivkumar Lobakhina, Natalia Havelund, Klaus et al.

Source: Shivaji, S, Lobakhina, N, Havelund, K, Pinto, A & Cordeiro, L 2026, LLM-Assisted Translation and Bounded Model Checking of Python Code. in 3rd Artificial Intelligence ISoLA.

Subject Terms: code translation, large language models, formal verification, bounded model checking, Python

Access URL: https://research.manchester.ac.uk/en/publications/6fa0e994-01cb-4f54-a168-856aff99852a

CodeGuide: An Artificial Intelligence Powered vs Code Extension for Automated Python Code Generation, Error Detection and Code Correction

Authors: Solapuram Shreeya Koya Bharath Kumar Chennupati Vamsee Krishna

Source: 2025 4th International Conference on Applied Artificial Intelligence and Computing (ICAAIC). :1578-1584

Design and Implementation of an LCS and Weight-Based Birthmark System for Detecting Python Code Theft

Authors: Seong-Min Kim Won-Chan Lee Heewan Park

Source: Journal of the Korea Society of Computer and Information. 30:191-203

OpCodeBERT: A Method for Python Code Representation Learning by BERT With Opcode

Authors: Canyu Qiu Jianxun Liu Xiaocong Xiao et al.

Source: IEEE Transactions on Software Engineering. 51:3103-3116

A Taxonomy of Inefficiencies in LLM-Generated Python Code

Authors: Abbassi, Altaf Allah Da Silva, Leuson Nikanjam, Amin et al.

Source: 2025 IEEE International Conference on Software Maintenance and Evolution (ICSME). :393-404

Subject Terms: Software Engineering (cs.SE), FOS: Computer and information sciences, Software Engineering

Access URL: http://arxiv.org/abs/2503.06327

Retrieve, Refine, or Both? Using Task-Specific Guidelines for Secure Python Code Generation

Authors: Tony, Catherine Iannone, Emanuele Scandariato, Riccardo

Source: 2025 IEEE International Conference on Software Maintenance and Evolution (ICSME). :368-379

Automated Function Level Python Code Summarization Using a Transformer Based Model

Authors: Yaswanth Kharidu Yaswanth Kharidu Kharidu

Source: INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-9

An Empirical Study on the Performance and Energy Usage of Compiled Python Code

Authors: Vincenzo Stoico Andrei Calin Dragomir Patricia Lago

Source: Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering. :46-56

Subject Terms: Performance (cs.PF), Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Computer Science - Programming Languages, Computer Science - Performance, Programming Languages (cs.PL)

Access URL: http://arxiv.org/abs/2505.02346
https://hdl.handle.net/1871.1/cb0986f5-a392-43ce-a1c0-a5382c882219
https://research.vu.nl/en/publications/cb0986f5-a392-43ce-a1c0-a5382c882219
https://doi.org/10.1145/3756681.3756972

Benchmarking Large Language Models for Side-by-Side Evaluation of Python Code Synthesis: A Side-by-Side Model Comparison

Authors: Saurabh Batra Dwijendra Dwivedi

Source: Lecture Notes in Networks and Systems ISBN: 9783032128263

Quantum Computing from Hopfield Nets: A Textbook with Python Code Examples

Authors: Bauckhage, Christian Sifa, Rafet

Source: Cognitive Technologies ISBN: 9783031994012

Subject Terms: Open Access, QUBOs, Adiabatic Quantum Computing, Neural Networks, Quantum Algorithms, Quantum Computing, Quantum Gate Computing, Hopfield Nets, QUBO Models, Quantum Machine Learning, Quantum Mechanics, Statistical Mechanics

Refactoring Python Code with LLM-Based Multi-Agent Systems: An Empirical Study in ML Software Projects

Authors: Alexander Puma Pucho Alexandre Mello Ferreira Elder José Reioli Cirilo et al.

Source: Anais do XXXIX Simpósio Brasileiro de Engenharia de Software (SBES 2025). :678-684

SemetonBug: A Machine Learning Model for Automatic Bug Detection in Python Code Based on Syntactic Analysis

Authors: Bahtiar Imran Selamet Riadi Emi Suryadi et al.

Source: Jurnal Informatika. 12:75-80

Prompt Engineering for Python Code Debugging with Large Language Models: A Comparative Analysis of Zero-Shot, Few-Shot, and Chain-of-Thought Approaches

Authors: Raihan Putra Darmawan Suryo Adhi Wibowo

Source: 2025 IEEE International Symposium on Future Telecommunication Technologies (SOFTT). :391-395

Automated Refactoring of Non-Idiomatic Python Code: A Differentiated Replication with LLMS

Authors: Alessandro Midolo Massimiliano Di Penta

Source: 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC). :01-11

Subject Terms: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering

Access URL: http://arxiv.org/abs/2501.17024

Enhancing Python Code Smell Detection with Heterogeneous Ensembles

Authors: Rana Sandouka Hamoud Aljamaan

Source: International Journal of Software Engineering and Knowledge Engineering. 35:963-986

FlowFusion: Pseudocode to Python Code with Flowchart Precision

Authors: Keerti Kahartmol

Source: International Journal for Research in Applied Science and Engineering Technology. 13:4469-4476

Bridge matrices and Python code for paper 'Beyond the Environment: Sustainable Consumption amid Poverty and Inequality. Insight from a Developing Economy'

Authors: DANG, V. DUY

Contributors: DANG, V. DUY

New Cryptosystem Using Sumudu Transform, Combination of Three Functions with Simulation and Python Code

Authors: Raut P.P. Hiwarekar A.P.

Source: Punjab University Journal of Mathematics. :770-780