Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection

dc.contributor.author	Herbold, Steffen
dc.contributor.author	Trautsch, Alexander
dc.contributor.author	Trautsch, Fabian
dc.contributor.author	Ledel, Benjamin
dc.contributor.editor	Engels, Gregor
dc.contributor.editor	Hebig, Regina
dc.contributor.editor	Tichy, Matthias
dc.date.accessioned	2023-01-18T13:38:40Z
dc.date.available	2023-01-18T13:38:40Z
dc.date.issued	2023
dc.description.abstract	We summarize the article Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection [He22], which was published in Empirical Software Engineering in 2022.	en
dc.identifier.isbn	978-3-88579-726-5
dc.identifier.pissn	1617-5468
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/40083
dc.language.iso	en
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	Software Engineering 2023
dc.relation.ispartofseries	Lecture Notes in Informatics (LNI) - Proceedings, Volume P-332
dc.subject	SZZ
dc.subject	Bug fix labeling
dc.subject	Bug inducing changes
dc.subject	Defect prediction data
dc.subject	Data set
dc.title	Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection	en
dc.type	Text/Conference Paper
gi.citation.endPage	64
gi.citation.publisherPlace	Bonn
gi.citation.startPage	63
gi.conference.date	20.–24. Februar 2023
gi.conference.location	Paderborn
gi.conference.sessiontitle	Wissenschaftliches Hauptprogramm

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