Software code smell prediction model using Shannon, Rényi and Tsallis entropies

A Gupta, B Suri, V Kumar, S Misra, T Blažauskas… - Entropy, 2018 - mdpi.com
The current era demands high quality software in a limited time period to achieve new goals
and heights. To meet user requirements, the source codes undergo frequent modifications …

An empirical study on predictability of software code smell using deep learning models

H Gupta, TG Kulkarni, L Kumar, LBM Neti… - … conference on advanced …, 2021 - Springer
Code Smell, similar to a bad smell, is a surface indication of something tainted but in terms
of software writing practices. This metric is an indication of a deeper problem lies within the …

Application of deep learning models for code smell prediction

S Tarwani, A Chug - 2022 10th International Conference on …, 2022 - ieeexplore.ieee.org
Software developer always strives for quality of the software as it tends to be more robust
and easier to maintain. Code smells play as a hinder to the quality of the software as they …

Application of machine learning algorithms for code smell prediction using object-oriented software metrics

M Agnihotri, A Chug - Journal of Statistics and Management …, 2020 - Taylor & Francis
Code smells are generally not considered as bugs; instead, they point out certain
shortcomings in the software design or code. Identification of code smell is a necessary step …

Predicting code smells and analysis of predictions: using machine learning techniques and software metrics

MY Mhawish, M Gupta - Journal of Computer Science and Technology, 2020 - Springer
Code smell detection is essential to improve software quality, enhancing software
maintainability, and decrease the risk of faults and failures in the software system. In this …

An empirical framework for code smell prediction using extreme learning machine

H Gupta, L Kumar, LBM Neti - 2019 9th Annual Information …, 2019 - ieeexplore.ieee.org
The software containing code smells indicates the violation of standard design and coding
practices by developer during the development of the software system. Recent empirical …

Empirical evaluation of code smells in open-source software (OSS) using Best Worst Method (BWM) and TOPSIS approach

S Tandon, V Kumar, VB Singh - International Journal of Quality & …, 2022 - emerald.com
Purpose Code smells indicate deep software issues. They have been studied by
researchers with different perspectives. The need to study code smells was felt from the …

Severity classification of software code smells using machine learning techniques: A comparative study

A Abdou, N Darwish - Journal of Software: Evolution and …, 2024 - Wiley Online Library
Code smell is a software characteristic that indicates bad symptoms in code design which
causes problems related to software quality. The severity of code smells must be measured …

Improving the quality of open source software

S Kaur, S Singh - Agile Software Development: Trends …, 2023 - Wiley Online Library
This study aims at development of generating metrics based code smells prediction to
improve the software quality assurance by working at preventive maintenance level. In order …

A systematic literature review on empirical analysis of the relationship between code smells and software quality attributes

A Kaur - Archives of Computational Methods in Engineering, 2020 - Springer
Code smells indicate problems in design or code which makes software hard to change and
maintain. It has become a sign of software systems that cause complications in maintaining …