The Impact of Code Smells on Software Bugs: A Systematic Literature Review
Information, 2018 Context: Code smells are associated to poor design and programming style, which often degrades code quality and hampers code comprehensibility and maintainability.
Aloisio S. Cairo +2 more
doaj +1 more source
A systematic literature review: Refactoring for disclosing code smells in object oriented software
Ain Shams Engineering Journal, 2018 Context: Reusing a design pattern is not always in the favor of developers. Thus, the code starts smelling. The presence of “Code Smells” leads to more difficulties for the developers.
Satwinder Singh, Sharanpreet Kaur
doaj +1 more source
Detection of Bad Smell in Code Based on BP Neural Network [PDF]
Jisuanji gongcheng, 2020 Bad smells in code seriously affect the quality of software and its maintenance.To address the low accuracy of machine learning algorithms in bad smell detection and the single type of bad smell dataset,this paper proposes a detection method for bad ...
WANG Shuyan, ZHANG Yiquan, SUN Jiaze
doaj +1 more source
Integrating Interactive Detection of Code Smells into Scrum: Feasibility, Benefits, and Challenges
Applied Sciences, 2023 (Context) Code smells indicate poor coding practices or design flaws, suggesting deeper software quality issues. While addressing code smells promptly improves software quality, traditional detection techniques often fail in continuous detection during ...
Danyllo Albuquerque +4 more
doaj +1 more source
An Exploratory Study of the Relationship Between Software Test Smells and Fault-Proneness
IEEE Access, 2019 Test smells have been defined as indicators of poorly designed tests. Their presence negatively affects the maintainability of a test suite as well as the production code. Despite the many studies that address the negative impacts of various test smells,
Abdallah Qusef +2 more
doaj +1 more source
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
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
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
Cell wall target fragment discovery using a low‐cost, minimal fragment library
FEBS Letters, EarlyView.LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source