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Software Engineering for Business Information Systems (sebis) Department of Informatics Technische Universität München, Germany wwwmatthes.in.tum.de Title:

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1 Software Engineering for Business Information Systems (sebis) Department of Informatics Technische Universität München, Germany wwwmatthes.in.tum.de Title: This is the English template Subtitle: Use the German template if necessary

2 1.Topic  Subtopic 2.Topic  Subtopic Overview © sebis 140122 Matthes Slides sebis 2014 2

3 Technische Universität München Department of Informatics Chair of Software Engineering for Business Information Systems Boltzmannstraße 3 85748 Garching bei München Tel+49.89.289. Fax+49.89.289.17136 wwwmatthes.in.tum.de

4 Stick to the good sebis traditions  Provide action links at the bottom of the slide to guide the audience to our web pages or publications (see below). (Select the text, press CTRL-K)  Use a file name according to our sebis conventions which helps us and our audience to find the file of your presentation on our web site with Google search:  YYMMDD Author Short Title  Include this string in the footer (Einfügen -> Kopf- und Fusszeile -> Fusszeile)  The unusual date format simplifies the search for the latest version of a slide in an alphabetical directory listing (Dropbox, Explorer, Tricia, Sky-Drive) © sebis 140122 Matthes Slides sebis 2014 4 For more information visit BEAMS, EAM Pattern Catalog and EAM KPI Catalog (http://wwwmatthes.in.tum.de)BEAMSEAM Pattern CatalogEAM KPI Catalog [Ha13g]Hauder, M., Roth, S., Matthes, F.: Current Tool support for Metrics in Enterprise Architecture ManagementHa13g

5 Use the sebis visual language (shapes, fonts, colors, sizes) © sebis 140122 Matthes Slides sebis 2014 5 Fast Form 1 Fast Form 2 Fast Form 3 Fast Form 4 Fast Form 5 Fast Form 6 Default Text Default Rectangle Default Line Style Process User Default Rounded R. Arrow Store Explanation Fast Form 1 Fast Form 2 Fast Form 3 Fast Form 4 Fast Form 5 Fast Form 6 Box Text Information Cloud

6 Technische Universität München © sebis 140122 Matthes Slides sebis 2014 6 13 Faculties  Mathematics & Informatics  Natural Sciences  Engineering & Architecture  Life Sciences & Medicine  Economics & Education 32.000 Students 2.800 Informatics Faculty 478 Professors 48 Informatics Faculty 13 Nobel Prize winners * 2012

7 © sebis 140122 Matthes Slides sebis 2014 7

8 4 Phases © sebis 131125 Matthes SmartArt Experiments 8 Run 1 Run 2 Adapt? Build 1 Build 2 Plan1 Plan 2 PlanBuild RunAdapt

9 Influences © sebis 131125 Matthes SmartArt Experiments 9 Plan Plan 1Plan 2Plan 3Plan 4Plan 5Plan 6Plan 7

10 Muli-Level Hierarchy © sebis 131125 Matthes SmartArt Experiments 10 Plan Plan 1 Plan11 Plan 12 P121 P122 Plan 2Plan 3 Build Build 1 Build 2 Run Run 1 Run 2 Adapt Adapt? A B C

11 Nested Boxes © sebis 131125 Matthes SmartArt Experiments 11 Plan Build Run Test Verify Deploy IT Vision Mission Goals Capabilities Enterprise People Resources Technology Regulations Environment

12 Hierarchy with Icons © sebis 131125 Matthes SmartArt Experiments 12 CEO Sales Marketin g FinanceXY

13 Nested Systems © sebis 131125 Matthes SmartArt Experiments 13 Environment PeopleResourcesTechnologyRegulations Enterprise VisionMissionGoalsCapabilities IT PlanBuildRunTestVerifyDeploy

14 Influences © sebis 131125 Matthes SmartArt Experiments 14 Plan Plan 1Plan 2Plan 3Plan 4Plan 5Plan 6Plan 7

15 Fuzzy Relationship © sebis 131125 Matthes SmartArt Experiments 15 Complexity VarietyVelocityVolumeVanityVersatility

16 Filter © sebis 131125 Matthes SmartArt Experiments 16 Best Practices EPKBPMNUML

17 Comparison © sebis 131125 Matthes SmartArt Experiments 17 ProCon Argument 1Argument 2Argument 3 Counter- Argument 1 Counter- Argument 2

18 Tables © sebis 131125 Matthes SmartArt Experiments 18 A1B1C1D1E1 A1B1C1D1E1 A1B1C1D1E1 A1B1C1D1E1 A1B1C1D1E1 A1B1C1D1E1 A1B1C1D1E1 A1B1C1D1E1 A1B1C1D1E1 A1B1C1D1E1 A1B1C1D1E1 A1B1C1D1E1

19 Sections © sebis 131125 Matthes SmartArt Experiments 19 Line 1 Line 2 Line 3 Line 4 Section 1 Line 1 Line 2 Line 3 Line 4 Section 2

20 Processes & Resources © sebis 131125 Matthes SmartArt Experiments 20 Resource 1 Action 1 Resource 2 Action 2 Resource 3 Action 3 Resource 4 Action 4

21 Circular Contributions © sebis 131125 Matthes SmartArt Experiments 21 CALM3 Workshop Series 10 Industry experts Quarterly meetings Extensive EA data Concrete metrics Tool development Visionary discussions

22 Path to goal © sebis 131125 Matthes SmartArt Experiments 22 Step 1 Step 2 Step 3 Step 4 Step 5 Step 6 Goal For more information contact Alexander.Schneider@TUM.deAlexander.Schneider@TUM.de

23 Hexagonal Process © sebis 131125 Matthes SmartArt Experiments 23 CALM3 Workshop Series 10 Industry experts Quarterly meetings Extensive EA data Concrete metrics Tool development Visionary discussions

24 Process with deliverables © sebis 131125 Matthes SmartArt Experiments 24 Step 1Step 2Step 3Step 4Step 5 A B C D

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