Automatically recommending components for issue reports using deep learning
Version 2 2024-06-04, 11:47
Version 1 2021-02-19, 08:22
journal contribution
posted on 2024-06-04, 11:47 authored by M Choetkiertikul, HK Dam, Truyen TranTruyen Tran, T Pham, C Ragkhitwetsagul, A GhoseAutomatically recommending components for issue reports using deep learning
History
Journal
Empirical Software EngineeringVolume
26Article number
ARTN 14Pagination
1 - 39Location
Berlin, GermanyISSN
1382-3256eISSN
1573-7616Language
EnglishPublication classification
C1 Refereed article in a scholarly journalIssue
2Publisher
SPRINGERUsage metrics
Keywords
Science & TechnologyTechnologyComputer Science, Software EngineeringComputer ScienceSoftware engineering analyticsComponent recommendationRecommendation systems for software engineeringMining software repositoriesDeep learningDUPLICATE BUG REPORTSNEURAL-NETWORKSNATURAL-LANGUAGESEVERITYINFORMATIONPREDICTION4612 Software engineering
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