Systematic Quality Engineering – Lessons Learned

dc.contributor.author	Großmann, Markus
dc.contributor.author	Salger, Frank
dc.contributor.editor	Reussner, Ralf
dc.contributor.editor	Grund, Matthias
dc.contributor.editor	Oberweis, Andreas
dc.contributor.editor	Tichy, Walter
dc.date.accessioned	2019-01-17T13:47:11Z
dc.date.available	2019-01-17T13:47:11Z
dc.date.issued	2011
dc.identifier.isbn	978-3-88579-277-2
dc.identifier.issn	1617-5468
dc.identifier.uri	http://dl.gi.de/handle/20.500.12116/19868
dc.description.abstract	Three main areas determine customer satisfaction in software development projects: Time, Budget and Quality. In contrast to 'time' and 'budget' where achievement can be determinded quite effectively, judging 'quality' often remains difficult. In this work, we outline Quasar Analytics®, the quality assurance framework used at Capgemini Germany. We describe best practices and lessons learned of applying Quasar Analytics®.	en
dc.language.iso	en
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	Software Engineering 2011 – Fachtagung des GI-Fachbereichs Softwaretechnik
dc.relation.ispartofseries	Lecture Notes in Informatics (LNI) - Proceedings, Volume P-183
dc.title	Systematic Quality Engineering – Lessons Learned	en
dc.type	Text/Conference Paper
dc.pubPlace	Bonn
mci.reference.pages	25-27
mci.conference.sessiontitle	Regular Research Papers
mci.conference.location	Karlsruhe
mci.conference.date	21.-25. Februar 2011