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Enhanced Class Normalization Rules for Refactoring Large Class Smell
Author(s) -
Marwan Ahmed Lardhi,
Saeed Mohammed Baneamoon
Publication year - 2020
Publication title -
international journal of innovative science and research technology
Language(s) - English
Resource type - Journals
ISSN - 2456-2165
DOI - 10.38124/ijisrt20may796
Subject(s) - normalization (sociology) , code refactoring , computer science , class (philosophy) , artificial intelligence , software , data mining , machine learning , programming language , sociology , anthropology
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.

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