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Do Software Code Smell Checkers Smell Themselves? : A Self Reflection

, 2020
Code smells are defined as poor implementation and coding practices, and as a result decrease the overall quality of a source code. A number of code smell detection tools are available to automatically detect poor implementation choices, i.e., code ...
Löwe, Amelie, Bampovits, Stefanos
core   +3 more sources

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, Sharma Deepanshu, Phulli Kritika   +2 more
doaj   +1 more source

A Two-Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort. [PDF]

Ann Clin Transl Neurol
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Massimi CA, Mejia GR, Metzger A, Ryu KH, Marwaha S, Grzegorczyk E, Zhou L, Jacobs E, Gilyadov B, Kunney C, Ncube L, Parekh A, Mignot E, Elahi FM, Winer J, Poston K, Brink-Kjaer A, During EH.   +17 more
europepmc   +2 more sources

Smell Detection Results

, 2023
This item contains test smell detection results of the sample open-source projects. For each sample project, there is a .zip file. In each .zip file, for each target commit in each sample project, there is a csv file containing smell detection results ...
Chen, Zhongyan; id_orcid, Chen, Zhongyan, Department of Computer Science   +2 more
core   +1 more source

Code Smell Detection Using Whale Optimization Algorithm

, 2021
Software systems have been employed in many fields as a means to reduce human efforts; consequently, stakeholders are interested in more updates of their capabilities. Code smells arise as one of the obstacles in the software industry.
Abdulkader, Sarah N, Draz, Motasem M, Ghafar, Mona M, Farhan, Marwa S.   +3 more
core   +1 more source

Towards Semantic Detection of Smells in Cloud Infrastructure Code [PDF]

Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics, 2020
Automated deployment and management of Cloud applications relies on descriptions of their deployment topologies, often referred to as Infrastructure Code. As the complexity of applications and their deployment models increases, developers inadvertently introduce software smells to such code specifications, for instance, violations of good coding ...
Indika Kumara, Zoe Vasileiou, Georgios Meditskos, Damian A. Tamburri, Willem-Jan van den Heuvel, Anastasios Karakostas, Stefanos Vrochidis, Ioannis Kompatsiaris   +7 more
openaire   +4 more sources

Design and Implementation of a Web-Based Application for Code Smells Repository

Tehnički Glasnik, 2021
Pitfalls in software development process can be prevented by learning from other people's mistakes. Software practitioners and researchers document lessons learned and the knowledge about best practices is spread over literature.
Lida Bamizadeh, Binod Kumar, Ajay Kumar, Shailaja Shirwaikar   +3 more
doaj   +1 more source

A Bayesian Approach for the Detection of Code and Design Smells

2009 Ninth International Conference on Quality Software, 2009
The presence of code and design smells can have a severe impact on the quality of a program. Consequently, their detection and correction have drawn the attention of both researchers and practitioners who have proposed various approaches to detect code and design smells in programs.
Foutse Khomh, Stéphane Vaucher, Yann-Gaël Guéhéneuc, Houari A. Sahraoui   +3 more
openaire   +3 more sources

Test Smell Detection Results of Sample Projects

, 2023
This item contains test smell detection results of the sample open-source projects. For each sample project, there is a .zip file. In each .zip file, for each target commit in each sample project, there is a csv file containing smell detection results ...
Zhongyan Chen (15203593)
core   +2 more sources

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

Scientific Reports, 2023
Detecting code smells may be highly helpful for reducing maintenance costs and raising source code quality. Code smells facilitate developers or researchers to understand several types of design flaws. Code smells with high severity can cause significant
Rajwant Singh Rao, Seema Dewangan, Alok Mishra, Manjari Gupta   +3 more
doaj   +1 more source