Automatic Software Summarization: The State of the Art

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dc.contributor.ORCID0000-0001-5450-5598 (Marcus, A)
dc.contributor.VIAF58848719 (Marcus, A)
dc.contributor.authorMoreno, L.
dc.contributor.authorMarcus, Andrian
dc.contributor.utdAuthorMarcus, Andrian
dc.date.accessioned2019-07-10T17:32:08Z
dc.date.available2019-07-10T17:32:08Z
dc.date.created2018-05-27
dc.descriptionFull text access from Treasures at UT Dallas is restricted to current UTD affiliates (use the provided link to the article). Non UTD affiliates will find the web address for this item by clicking the Show full item record link and copying the "relation.uri" metadata.
dc.description.abstractWhile automatic text summarization has been widely studied for more than fifty years, in software engineering, automatic summarization is an emerging area that shows great potential and poses new and exciting research challenges. This technical briefing provides an introduction to the state of the art and maps future research directions in automatic software summarization. A first version was presented at ICSE'17 and now it is updated and enhanced, based on feedback from the audience.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationMoreno, L., and A. Marcus. 2018. "Automatic software summarization: The state of the art." Proceedings - International Conference on Software Engineering 40 (137351): 530-531, doi:10.1145/3183440.3183464
dc.identifier.isbn9781450356633
dc.identifier.urihttps://hdl.handle.net/10735.1/6679
dc.identifier.volume137351
dc.language.isoen
dc.publisherIEEE Computer Society
dc.relation.isPartOfProceedings - International Conference on Software Engineering, 40
dc.relation.urihttp://dx.doi.org/10.1145/3183440.3183464
dc.rights©2018 ACM
dc.subjectComputer software
dc.subjectSoftware engineering
dc.subjectAbstracts--Automatic creation
dc.titleAutomatic Software Summarization: The State of the Art
dc.type.genrearticle

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