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A Semantic Data Model for the Development of Secure and Valuable Software

dc.contributor.authorHorch, Andrea
dc.contributor.authorLaufs, Uwe
dc.contributor.authorSellung, Rachelle
dc.contributor.editorFritsch, Lothar
dc.contributor.editorRoßnagel, Heiko
dc.contributor.editorHühnlein, Detlef
dc.date.accessioned2017-08-28T23:20:00Z
dc.date.available2017-08-28T23:20:00Z
dc.date.issued2017
dc.description.abstractIT security is a crucial non-functional software requirement. Nevertheless, there are several other aspects that a softwares’ market success depends on. Therefore, it is vital that during the development process software developers consider different disciplines needs that essentially add value when going to market such as usability and socio-economics. The project CUES addresses these aspects by developing an interdisciplinary and integrated guidance tool, called the Wizard. The Wizard is designed to support software developers with interdisciplinary knowledge during the software development processes. The core of the Wizard builds a knowledge base, which is based on a semantic data model. While the semantic data model is finished, the Wizard is still undergoing development in the CUES project and is not yet complete. This paper presents the semantic data model as a first project result and as the core element of theWizard. The proposed data model stores knowledge about software development processes, methods and tools in order to derive problems and corresponding solutions which may occur in real software development processes.en
dc.identifier.isbn978-3-88579-671-8
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofOpen Identity Summit 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-277
dc.subjectData Model
dc.subjectSoftware Development
dc.subjectIT Security
dc.subjectUsability
dc.subjectSocio-economics
dc.titleA Semantic Data Model for the Development of Secure and Valuable Softwareen
gi.citation.endPage174
gi.citation.startPage167
gi.conference.date5.-6. October 2017
gi.conference.locationKarlstad, Sweden
gi.conference.sessiontitleFurther Conference Contributions

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