Using data analytics for collaboration patterns in distributed software team simulations

dc.authoridAlpaslan, Ferda Nur/0000-0002-9806-1543
dc.authorscopusid57215572330
dc.authorscopusid13410422400
dc.authorscopusid6701676240
dc.authorscopusid6602568315
dc.authorscopusid6701519251
dc.authorscopusid55507874700
dc.authorscopusid55507874700
dc.authorwosidAlpaslan, Ferda Nur/ABA-4259-2020
dc.contributor.authorSerçe, Fatma Cemile
dc.contributor.authorSerce, Fatma C.
dc.contributor.authorSwigger, Kathleen
dc.contributor.authorBrazile, Robert
dc.contributor.authorAlpaslan, Ferda N.
dc.contributor.authorLopez, Victor
dc.contributor.authorMilewski, Allen
dc.contributor.otherInformation Systems Engineering
dc.date.accessioned2024-07-05T14:30:33Z
dc.date.available2024-07-05T14:30:33Z
dc.date.issued2016
dc.departmentAtılım Universityen_US
dc.department-temp[Dafoulas, Georgios A.] Middlesex Univ, Sch Sci & Technol, Dept Comp Sci, London, England; [Serce, Fatma C.] Atilim Univ, Fac Engn, Dept Informat Syst Engn, Ankara, Turkey; [Swigger, Kathleen; Brazile, Robert] Univ North Texas, Dept Comp Sci & Engn, Denton, TX USA; [Alpaslan, Ferda N.] Middle East Tech Univ, Dept Comp Engn, Ankara, Turkey; [Lopez, Victor] Univ Technol Panama, Fac Ingn Sistemas Computac, Panama City, Panama; [Milewski, Allen] Monmouth Univ, Dept Comp Sci & Software Engn, West Long Branch, NJ USAen_US
dc.descriptionAlpaslan, Ferda Nur/0000-0002-9806-1543en_US
dc.description.abstractThis paper discusses how previous work on global software development learning teams is extended with the introduction of data analytics. The work is based on several years of studying student teams working in distributed software team simulations. The scope of this paper is twofold. First it demonstrates how data analytics can be used for the analysis of collaboration between members of distributed software teams. Second it describes the development of a dashboard to be used for the visualization of various types of information in relation to Global Software Development (GSD). Due to the nature of this work, and the need for continuous pilot studies, simulations of distributed software teams have been created with the participation of learners from a number of institutions. This paper discusses two pilot studies with the participation of six institutions from two different countries.en_US
dc.identifier.citation5
dc.identifier.doi10.1109/ICGSEW.2016.15
dc.identifier.endpage48en_US
dc.identifier.isbn9781509036257
dc.identifier.scopus2-s2.0-84994666205
dc.identifier.startpage43en_US
dc.identifier.urihttps://doi.org/10.1109/ICGSEW.2016.15
dc.identifier.urihttps://hdl.handle.net/20.500.14411/571
dc.identifier.wosWOS:000392497200008
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof11th IEEE International Conference on Global Software Engineering (ICGSE) -- AUG 02-05, 2016 -- Univ California, Irvine, CAen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectcollaborationen_US
dc.subjectdashboardsen_US
dc.subjectdata analyticsen_US
dc.subjectdistributed teamsen_US
dc.subjectglobal software developmenten_US
dc.titleUsing data analytics for collaboration patterns in distributed software team simulationsen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication46776dfd-a16b-415c-a210-30f091d6a6dd
relation.isAuthorOfPublication.latestForDiscovery46776dfd-a16b-415c-a210-30f091d6a6dd
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relation.isOrgUnitOfPublication.latestForDiscoverycf0fb36c-0500-438e-b4cc-ad1d4ef25579

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