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Causes, impacts, and detection approaches of code smell

Proceedings of the ACMSE 2018 Conference, 2018
Code smells are anomalies often generated in design, implementation or maintenance phase of software development life cycle. Researchers established several catalogues characterizing the smells. Fowler and Beck developed the most popular catalogue of 22 smells covering varieties of development issues.
Md Shariful Haque   +2 more
openaire   +1 more source

Interactive Code Smells Detection: An Initial Investigation

2016
In this paper, we introduced a novel technique to generate more user-oriented detection rules by taking into account their feedback. Our techniques initially generate a set of detection rules that will be used to detect candidate code smells, these reported code smells will be exposed in an interactive fashion to the developer who will give his/her ...
openaire   +2 more sources

A Lightweight Approach for Detection of Code Smells

Arabian Journal for Science and Engineering, 2016
The accurate removal of code smells from source code supports activities such as refactoring, maintenance, examining code quality etc. A large number of techniques and tools are presented for the specification and detection of code smells from source code in the last decade, but they still lack accuracy and flexibility due to different interpretations ...
Ghulam Rasool, Zeeshan Arshad
openaire   +1 more source

Empirical Assessment on Interactive Detection of Code Smells

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2022
Danyllo Albuquerque   +5 more
openaire   +2 more sources

Detecting Code Smells with AI: a Prototype Study

2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO), 2022
Joonas Virmajoki   +2 more
openaire   +2 more sources

Code smell detection using feature selection and stacking ensemble: An empirical investigation

Information and Software Technology, 2021
Hamoud Aljamaan   +2 more
exaly  

Code smell detection by deep direct-learning and transfer-learning

Journal of Systems and Software, 2021
Tushar Sharma   +2 more
exaly  

Code Smell Detection Using Classification Approaches

Lecture Notes in Networks and Systems, 2022
Rajwant Singh Rao, Seema Dewangan
exaly  

A Review on Machine-learning Based Code Smell Detection Techniques in Object-oriented Software System(s)

Recent Advances in Electrical and Electronic Engineering, 2021
Amandeep Kaur   +2 more
exaly  

Textual Analysis for Code Smell Detection

2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, 2015
openaire   +1 more source

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