Regression test optimization and prioritization using Honey Bee optimization algorithm with fuzzy rule base.

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Title: Regression test optimization and prioritization using Honey Bee optimization algorithm with fuzzy rule base.
Authors: Nayak, Soumen1,2, soumen.nayak@gmail.com, Kumar, Chiranjeev1, Tripathi, Sachin1, Mohanty, Nirjharini3, Baral, Vishal3
Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Aug2021, Vol. 25 Issue 15, p9925-9942, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 151402015
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=151402015
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00500-020-05428-z
    Languages:
      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 9925
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      – TitleFull: Regression test optimization and prioritization using Honey Bee optimization algorithm with fuzzy rule base.
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            NameFull: Nayak, Soumen
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            NameFull: Kumar, Chiranjeev
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            NameFull: Tripathi, Sachin
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            NameFull: Mohanty, Nirjharini
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            NameFull: Baral, Vishal
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            – D: 01
              M: 08
              Text: Aug2021
              Type: published
              Y: 2021
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              Value: 25
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