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Quantifying Class Cohesion in Object‐Oriented Software Systems Using Hesitant Fuzzy Entropy for Improved Software Maintenance.

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Bibliographic Details
Title: Quantifying Class Cohesion in Object‐Oriented Software Systems Using Hesitant Fuzzy Entropy for Improved Software Maintenance.
Authors: Hooshyar, Maryam1, Izadkhah, Habib1, izadkhah@tabrizu.ac.ir, Karimpour, Jaber1
Source: Journal of Software: Evolution & Process; May2026, Vol. 38 Issue 5, p1-26, 26p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194054111
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Quantifying Class Cohesion in Object‐Oriented Software Systems Using Hesitant Fuzzy Entropy for Improved Software Maintenance.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Software%3A+Evolution+%26+Process%22">Journal of Software: Evolution & Process</searchLink>; May2026, Vol. 38 Issue 5, p1-26, 26p
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        Value: 10.1002/smr.70101
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      – Code: eng
        Text: English
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        PageCount: 26
        StartPage: 1
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      – TitleFull: Quantifying Class Cohesion in Object‐Oriented Software Systems Using Hesitant Fuzzy Entropy for Improved Software Maintenance.
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            NameFull: Hooshyar, Maryam
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            NameFull: Izadkhah, Habib
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            NameFull: Karimpour, Jaber
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            – D: 01
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              Text: May2026
              Type: published
              Y: 2026
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              Value: 38
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              Value: 5
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            – TitleFull: Journal of Software: Evolution & Process
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