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bjEnet: a fast and accurate software bug localization method in natural language semantic space.

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Title: bjEnet: a fast and accurate software bug localization method in natural language semantic space.
Authors: Han, Jiaxuan1, Huang, Cheng1, Liu, Jiayong1, ljy@scu.edu.cn
Source: Software Quality Journal; Dec2024, Vol. 32 Issue 4, p1515-1538, 24p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180733321
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="AU" term="%22Han%2C+Jiaxuan%22">Han, Jiaxuan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Huang%2C+Cheng%22">Huang, Cheng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liu%2C+Jiayong%22">Liu, Jiayong</searchLink><relatesTo>1</relatesTo>, <i>ljy@scu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Software+Quality+Journal%22">Software Quality Journal</searchLink>; Dec2024, Vol. 32 Issue 4, p1515-1538, 24p
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      – Type: doi
        Value: 10.1007/s11219-024-09693-1
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 1515
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      – TitleFull: bjEnet: a fast and accurate software bug localization method in natural language semantic space.
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            NameFull: Han, Jiaxuan
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            NameFull: Huang, Cheng
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            NameFull: Liu, Jiayong
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          Dates:
            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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              Value: 32
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