Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

CENTRIS: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse

Full metadata record
DC Field Value Language
dc.contributor.authorHakjoo Oh-
dc.date.accessioned2021-08-27T09:31:44Z-
dc.date.available2021-08-27T09:31:44Z-
dc.date.created2021-05-26-
dc.date.issued2021-05-23-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/3648-
dc.publisherACM/IEEE-
dc.titleCENTRIS: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse-
dc.title.alternativeCENTRIS: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse-
dc.typeConference-
dc.contributor.affiliatedAuthorHakjoo Oh-
dc.identifier.bibliographicCitationICSE 2021: 43rd International Conference on Software Engineering-
dc.relation.isPartOfICSE 2021: 43rd International Conference on Software Engineering-
dc.relation.isPartOfICSE 2021: 43rd International Conference on Software Engineering-
dc.citation.titleICSE 2021: 43rd International Conference on Software Engineering-
dc.citation.conferencePlaceSP-
dc.citation.conferenceDate2021-05-23-
dc.type.rimsCONF-
dc.description.journalClass1-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Computer Science and Engineering > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Oh, Hak joo photo

Oh, Hak joo
Graduate School (Department of Computer Science and Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE