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dc.contributor.authorNguyen Duc, Anh
dc.contributor.authorJaccheri, Maria Letizia
dc.contributor.authorAbrahamsson, Pekka Kalevi
dc.date.accessioned2019-08-28T12:05:28Z
dc.date.available2019-08-28T12:05:28Z
dc.date.created2019-06-11T13:21:41Z
dc.date.issued2019
dc.identifier.isbn978-1-7281-1764-5
dc.identifier.urihttp://hdl.handle.net/11250/2611428
dc.description.abstractGender issues in software engineering education are gaining research attention due to the desire to promote female participation in the field. The objective of this work is to enhance the understanding of female students' participation in software engineering projects to support gender-aware course optimization. Since 2015, we have investigated the participation of female students in terms of software engineering activities and team dynamics in a software project course that involves a real customer. We found that female students are more active with project management and requirement engineering, while they remain under-represented in highly complex or specific tasks, i.e. architecture work, and user experience design. We found no statistically significant difference in perceived team dynamics between male and female students. Insights on female project activities would facilitate the arrangement of project teams so that learning can be distributed equally across gendersnb_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.titleAn empirical study on female participation in software project coursesnb_NO
dc.typeJournal articlenb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber240-241nb_NO
dc.identifier.doi10.1109/ICSE-Companion.2019.00094
dc.identifier.cristin1704001
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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