Výsledky vyhľadávania - "Python code smell detection"

Enhancing Python Code Smell Detection with Heterogeneous Ensembles

Autori: Rana Sandouka Hamoud Aljamaan

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

An Empirical Evaluation of Ensemble Models for Python Code Smell Detection

Autori: Rajwant Singh Rao Seema Dewangan Alok Mishra

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

Predmety: 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

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

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

Autori: Mohammed Sharraf Uddin Kazi Zunayed Quader Knobo Jannatul Ferdoshi a ďalší

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

Python Code Smell Detection Using Machine Learning

Autori: Natthida Vatanapakorn Chitsutha Soomlek Pusadee Seresangtakul

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

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

Enhancing Python Code Smell Detection with Heterogeneous Ensembles.

Autori: Sandouka, Rana Aljamaan, Hamoud

Zdroj: International Journal of Software Engineering & Knowledge Engineering; Jul2025, Vol. 35 Issue 7, p963-986, 24p

Predmety: PYTHON programming language, ENSEMBLE learning, MACHINE learning, RELIABILITY in engineering, DEEP learning, MODEL validation, SOFTWARE architecture, COMPUTER software quality control

An Empirical Evaluation of Ensemble Models for Python Code Smell Detection.

Autori: Rao, Rajwant Singh Dewangan, Seema Mishra, Alok

Zdroj: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7472, 27p

Predmety: ENSEMBLE learning, FEATURE selection, BOOSTING algorithms, PYTHON programming language, COMPUTER software quality control, DESIGN failures, DATA augmentation

Cross-Language Code Smell Detection via Transfer Learning.

Autori: Sandouka, Rana Aljamaan, Hamoud

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

Predmety: 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.

Autori: Rao, Rajwant Singh Dewangan, Seema Mishra, Alok a ďalší

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

Predmety: 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.

Autori: Kim, Jungil Lee, Eunjoo

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

Predmety: 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.

Autori: Wang, Guanglei Chen, Junhua Gao, Jianhua a ďalší

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

Predmety: 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

Autori: Rohit Vashisht

Zdroj: Advances in E-Business Research ISBN: 9781668450277

Software Engineering and Advanced Applications

Autori: Davide Taibi Darja Smite

Typ zdroja: eBook.

Kategórie: COMPUTERS / Software Development & Engineering / General

Data Science and Artificial Intelligence : First International Conference, DSAI 2023, Bangkok, Thailand, November 27–29, 2023, Proceedings

Autori: Chutiporn Anutariya Marcello M. Bonsangue

Typ zdroja: eBook.

Predmet: Artificial intelligence--Congresses

Kategórie: 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

Autori: Jingyuan Zhao Joseph Richards

Typ zdroja: eBook.

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

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