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

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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-
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