Results 21 to 30 of about 2,743 (203)
An Analytical Study of Code Smells
Tehnički Glasnik, 2021 Software development process involves developing, building and enhancing high-quality software for specific tasks and as a consequence generates considerable amount of data.
Lida Bamizadeh +3 more
doaj
Detection of code smells using machine learning techniques combined with data-balancing methods
IJAIN (International Journal of Advances in Intelligent Informatics), 2023 Code smells are prevalent issues in software design that arise when implementation or design principles are violated. These issues manifest as symptoms or anomalies in the source code.
Nasraldeen Alnor Adam Khleel +1 more
doaj +1 more source
ANN Modelling on Vulnerabilities Detection in Code Smells-Associated Android Applications
Foundations of Computing and Decision Sciences, 2022 There has been a lot of software design concerns in recent years that come under the code smell. Android Applications Developments experiences more security issues related to code smells that lead to vulnerabilities in software.
Gupta Aakanshi +2 more
doaj +1 more source
Model level code smell detection using EGAPSO based on similarity measures
Alexandria Engineering Journal, 2018 Software maintenance is an essential part of any software that finds its use in the day-to-day activities of any organization. During the maintenance phase bugs detected must be corrected and the software must evolve with respect to changing requirements
G. Saranya +3 more
doaj +1 more source
Smell-ML: A Machine Learning Framework for Detecting Rarely Studied Code Smells
IEEE AccessCode smells are design flaws that reduce the software quality and maintainability. Machine learning classification models have been used to detect different code smells.
Esraa Hamouda +2 more
doaj +1 more source
A Novel Metric based Detection of Temporary Field Code Smell and its Empirical Analysis
Journal of King Saud University: Computer and Information Sciences, 2022 Code smell causes side effects in the source code and impact the code quality. It is beneficial to recognize code smells to improve software quality. Despite 22 classical code smells as characterized by Martin Fowler, all classical code smells have not ...
Ruchin Gupta, Sandeep Kumar Singh
doaj +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
FEBS Letters, EarlyView.The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome
FEBS Letters, EarlyView.This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley +1 more source
Code Smell Detection Using Ensemble Machine Learning Algorithms
Applied Sciences, 2022 Code smells are the result of not following software engineering principles during software development, especially in the design and coding phase. It leads to low maintainability.
Seema Dewangan +3 more
doaj +1 more source