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HAFix: history-augmented large language models for bug fixing.

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Title: HAFix: history-augmented large language models for bug fixing.
Authors: Shi, Yu1, y.shi@queensu.ca, Bangash, Abdul Ali2, abdulali@lums.edu.pk, Fallahzadeh, Emad1, emad.fallahzadeh@queensu.ca, Adams, Bram1, bram.adams@queensu.ca, Hassan, Ahmed E.1, hassan@queensu.ca
Source: Empirical Software Engineering; Jul2026, Vol. 31 Issue 4, p1-70, 70p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192654842
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: HAFix: history-augmented large language models for bug fixing.
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  Data: <searchLink fieldCode="AU" term="%22Shi%2C+Yu%22">Shi, Yu</searchLink><relatesTo>1</relatesTo>, <i>y.shi@queensu.ca</i><br /><searchLink fieldCode="AU" term="%22Bangash%2C+Abdul+Ali%22">Bangash, Abdul Ali</searchLink><relatesTo>2</relatesTo>, <i>abdulali@lums.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Fallahzadeh%2C+Emad%22">Fallahzadeh, Emad</searchLink><relatesTo>1</relatesTo>, <i>emad.fallahzadeh@queensu.ca</i><br /><searchLink fieldCode="AU" term="%22Adams%2C+Bram%22">Adams, Bram</searchLink><relatesTo>1</relatesTo>, <i>bram.adams@queensu.ca</i><br /><searchLink fieldCode="AU" term="%22Hassan%2C+Ahmed+E%2E%22">Hassan, Ahmed E.</searchLink><relatesTo>1</relatesTo>, <i>hassan@queensu.ca</i>
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  Data: <searchLink fieldCode="JN" term="%22Empirical+Software+Engineering%22">Empirical Software Engineering</searchLink>; Jul2026, Vol. 31 Issue 4, p1-70, 70p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192654842
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      – Type: doi
        Value: 10.1007/s10664-026-10833-3
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      – Code: eng
        Text: English
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        PageCount: 70
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            NameFull: Shi, Yu
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            NameFull: Bangash, Abdul Ali
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            NameFull: Fallahzadeh, Emad
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            NameFull: Adams, Bram
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 31
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