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dc.contributor.authorCico, Orges
dc.contributor.authorJaccheri, Maria Letizia
dc.date.accessioned2019-08-28T12:02:36Z
dc.date.available2019-08-28T12:02:36Z
dc.date.created2019-06-26T11:38:15Z
dc.date.issued2019
dc.identifier.isbn978-1-7281-1764-5
dc.identifier.urihttp://hdl.handle.net/11250/2611427
dc.description.abstractContemporary approaches and trends, in software engineering courses have been continuously updated over the last four decades. Adaptation to industry needs is crucial for future educational purposes. The goal of this poster paper is to present some preliminary results related to what degree contemporary industry trends are being adopted in updating software engineering teaching approaches. This study is a systematic mapping. A total of 138 papers were selected based on education goals, research, and contribution type. Of the primary education topics, around 78% are related to teaching approaches, 9% to globalisation and training methods, and less than 5% to tech startup and industry innovation. Less investigated areas that have recently become common industry trends, such as tech startup models adopting lean methodology, require further attention and might create opportunities for updating the curricula. Future work will investigate possibilities for exploiting tech startups as a means for renewing future capstone courses.nb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.relation.ispartofProceedings of the 41st International Conference on Software Engineering: Companion Proceedings
dc.titleIndustry trends in software engineering education: a systematic mapping studynb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber292-293nb_NO
dc.identifier.doi10.1109/ICSE-Companion.2019.00120
dc.identifier.cristin1707951
dc.description.localcode© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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