Výsledky vyhledávání - "Python code smell detection"

Enhancing Python Code Smell Detection with Heterogeneous Ensembles

Autoři: Rana Sandouka Hamoud Aljamaan

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

Enhancing Software Quality: Python Code Smell Detection using Machine Learning techniques and Refactoring Long Methods using Extract Method Algorithm

Autoři: Mohammed Sharraf Uddin Kazi Zunayed Quader Knobo Jannatul Ferdoshi a další

Zdroj: Proceedings of the 2024 10th International Conference on Robotics and Artificial Intelligence. :93-102

An Empirical Evaluation of Ensemble Models for Python Code Smell Detection

Autoři: Rajwant Singh Rao Seema Dewangan Alok Mishra

Zdroj: Applied Sciences, Vol 15, Iss 13, p 7472 (2025)

Témata: Technology, QH301-705.5, Physics, QC1-999, Python code smell detection, ensemble learning models, Engineering (General). Civil engineering (General), SMOTE class balancing method, Chemistry, TA1-2040, Biology (General), chi-square feature selection technique, QD1-999

Přístupová URL adresa: https://doaj.org/article/d5355a98e88646b997415dd704137668

Python Code Smell Detection Using Machine Learning

Autoři: Natthida Vatanapakorn Chitsutha Soomlek Pusadee Seresangtakul

Zdroj: 2022 26th International Computer Science and Engineering Conference (ICSEC). :128-133

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

3D visualization of code smells: A scalable multi-level metaphoric approach for software developers.

Autoři: Hasantha, Chathuranga Hettiarachchi, Thenuri Sandara Wijesiriwardana, Chaman

Zdroj: Advances in Science & Technology Research Journal; 2026, Vol. 20 Issue 3, p318-335, 18p

Témata: DESIGN failures, THREE-dimensional imaging, MAINTAINABILITY (Engineering), SOFTWARE architecture, SOURCE code, COMPUTER software quality control, SOFTWARE development tools

Cross-Language Code Smell Detection via Transfer Learning.

Autoři: Sandouka, Rana Aljamaan, Hamoud

Zdroj: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 17, p9293, 23p

Témata: JAVA programming language, PYTHON programming language, TRANSFER of training, PROGRAMMING languages, ENSEMBLE learning, COMPUTER software quality control

A study of dealing class imbalance problem with machine learning methods for code smell severity detection using PCA-based feature selection technique.

Autoři: Rao, Rajwant Singh Dewangan, Seema Mishra, Alok a další

Zdroj: Scientific Reports; 11/20/2023, Vol. 13 Issue 1, p1-18, 18p

Témata: MACHINE learning, COMPUTER programming education, SOFTWARE refactoring, SMELL, FEATURE selection, K-nearest neighbor classification, PRINCIPAL components analysis

An Empirical Study on Code Smell Introduction and Removal in Deep Learning Software Projects.

Autoři: Kim, Jungil Lee, Eunjoo

Zdroj: International Journal of Software Engineering & Knowledge Engineering; May2023, Vol. 33 Issue 5, p765-786, 22p

Témata: DEEP learning, SMELL, OPEN source software, COMPUTER software development, EMPIRICAL research, SOURCE code

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

Autoři: Wang, Guanglei Chen, Junhua Gao, Jianhua a další

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

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

An Empirical Analysis of Code Smelling and Code Restructuring in Python

Autoři: Rohit Vashisht

Zdroj: Advances in E-Business Research ISBN: 9781668450277

Software Engineering and Advanced Applications

Autoři: Davide Taibi Darja Smite

Resource Type: eBook.

Categories: COMPUTERS / Software Development & Engineering / General

Data Science and Artificial Intelligence

Autoři: Chutiporn Anutariya Marcello M. Bonsangue

Resource Type: eBook.

Témata: Artificial intelligence--Congresses

Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Database Administration & Management, COMPUTERS / Speech & Audio Processing, MATHEMATICS / Probability & Statistics / General

Virtual Technologies and E-Collaboration for the Future of Global Business

Autoři: Jingyuan Zhao Joseph Richards

Resource Type: eBook.

Témata: Business networks, Business enterprises--Computer networks, Organizational change, Communication--Technological innovations

Categories: COMPUTERS / Business & Productivity Software / Collaboration, BUSINESS & ECONOMICS / Business Communication / General, BUSINESS & ECONOMICS / International / General