Enhanced Class Normalization Rules for Refactoring Large Class Smell


Authors : Marwan Ahmed Lardhi, Saeed Mohammed Baneamoon

Volume/Issue : Volume 5 - 2020, Issue 5 - May


Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/2MNS5oq

DOI : 10.38124/IJISRT20MAY796

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This paper proposes an effective method for optimizing extraction large class smell using enhanced class normalization rules in order to ease maintenance and improve the quality of software by creating new classes with strongly and similarity attributes and shared behavior.

Keywords : Extract Class Refactoring, Large Class smell, Class normalization, Cohesion.

This paper proposes an effective method for optimizing extraction large class smell using enhanced class normalization rules in order to ease maintenance and improve the quality of software by creating new classes with strongly and similarity attributes and shared behavior.

Keywords : Extract Class Refactoring, Large Class smell, Class normalization, Cohesion.

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