Center for Organization & Information. Graduation procedure

Center for Organization & Information Graduation procedure Agenda  Procedure of a final thesis project  Research domains and projects 2 Resear...
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Center for Organization & Information

Graduation procedure

Agenda  Procedure of a final thesis project  Research domains and projects

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Research Group Organisation and Information 

Prof: Prof.dr. Sjaak Brinkkemper



UHD: Dr. Ronald Batenburg

      

UD: UD: UD: UD: UD: UD: UD:

            

PHD: PHD: PHD: PHD: PHD: PHD: PHD: PHD: PHD: PHD: PHD: PHD: PHD:

Dr.ir. Remko Helms Dr. Slinger Jansen Dr. Marco Spruit Dr. Fabiano Dalpiaz Dr. mult Jan Martijn van der Werf Dr. Floris Bex Dr. Wienand Omta Jurriaan van Reijsen Gilbert Silvius Ralph Foorthuis Marlies van Steenbergen Willem Bekkers Naser Bakshi Eko Handoyo Erik Jagroep Jaap Kabbedijk Ravi Khadka Ivonne Mangula Michiel Meulendijk Kevin Vlaanderen

Research theme Product Software:

Enterpreneurship

Methodology of Development, Implementation, and Entrepreneurship

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Societal Perspective

Research framework Resource Provisioning

Laws and Regulations

• Technology • Educational system • Capital

• Intellectual property • Import & Export

Entrepreneurship • Start-ups • Business models • Business culture

Economy • Markets • Industry structures

Strategic Management Company perspective

Product Strategy • Market analysis • Product lifecycle management • Technology management

Development Perspective

• Methods and Project Mgmt

Requirements Architecture • Release Planning • Design methods • Product lines

• Product investment • Resource management • International organization

Sales and Services

Process & Quality ● Knowledge management

Development • Programming • Testing • Config. management

• Services portfolio • Marketing • Localization and customizations

● Quality systems

Deployment • Beta and Launch • Documentation • Upgrading

Usage • Installation • Licensing • Usage feedback

Society is our lab! MBI research master 

Participation in scientific research



Collecting data



Empirical validation



Experimentation in practice



Writing scientific paper

You are our lab workers! 

Work under the supervision of experienced researchers



Employers will greatly appreciate scientific grounded research work!



Lead research investigations 6

Graduation - Principles  Scientific contribution – In sync with the group’s research interest – Resulting in scientific paper

 Societal contribution

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Graduation – Guidelines 1 

General thesis project coordination: Slinger



www.cs.uu.nl/groups/OI (Education -> Graduation) for detailed guidelines



40 ECTS + 4 ECTS (MBI Colloquium) + 1 ECTS (Intro2MBI)



1 A4 with thesis description; Scope and subject in sync with group’s research interests



Thesis proposal document



Deliverables: –

Thesis document



(Scientific) paper



As desired by company



Active participation and presentations MBI Colloquium

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Graduation – Guidelines 2 

Internal and external projects



2 supervisors from UU; 1 or more from the company



Start only after approval of thesis proposal document by all supervisors



Thesis: societal AND scientific contribution



Thesis evaluation criteria available



Thesis examination: – Thesis document, paper – Thesis defence/presentation – Based on evaluation criteria 9

Thesis project – approach (1)

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Thesis project – approach (2) Research strategy

Goal

Approach

Data-type

Analysis

Qualitative

Explore. What is X? What does X mean? Interpretation and Induction.

Texts, photo’s, observations, interviews. Flexible, fast.

Qualitative and quantitative data on one particular case.

Qualitative methods, group, compare, cluster.

Survey

Describe, how many, how often, to what degree. Explanatory and testing.

Standardized interviews, broad, general.

Responses to variables from many respondents.

SPSS, Uni- en multivariate analysis of a datamatrix

Experimental

Causal relations. Why is X. Testing and/or explanatory

Laboratory situation

Information for a limited number of variables and respondents

Analysis of differences

Design

Innovation, Improve

Investigate, apply, create, invent

Models, prototype, feedback

Empirical validation

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Thesis Contents Arc

CH3 CH2

Sub question1

Activity1

Answer1

Sub question2

Activity2 CH4

Answer2

Sub question3

Activity3

Answer3

CH5 . . . CH1 Problem statement

Research question

. . .

. . .

CH6 Sub questionn

Activitym

Answern

CH7 Discussion and CH8 Conclusion

• CH1: Short introduction into subject matter • CH2: Problem statement, research question, research method, validity defence • CH3: Usually the literature study that already answers several sub questions. • CH4-CH…: Several conducted activities and results from those activities to provide (partial) answers to the sub questions. Includes result analysis chapters. • CH7: Discuss how the research method and the research in general went. Describe at least whether this research method chosen was appropriate. Point out weaknesses in the research. • CH8: Generally a short chapter summarizing all the sub questions and the answers to them. Also a place to describe future work (if not in H7).

Traceability • Make sure that: – The research questions follow from the problem statement – The research methods follow from the research questions – The data follows from the research methods – The analysis follows from the data – The conclusions follow from the analysis – Such that:

• The conclusions solve the problem statement! • (tip: imagine what the end-result is going to be from the very beginning.)

Some pitfalls •

Research theme too broad or not innovative – Example “e-Health in Europe and the US” – Example “Critical Success Factors for ERP Implementation”



Research company not innovative – Develop a functional and technical design for an admin system – Implement Sharepoint for us, and make sure it’s adopted



Research theme too far from profs interest – Example: Economic drivers for small accountancy firms (IT?)



Too much work – I made an overview of all the literature, and it cost me 6 months



Slow start means slow ending – Well, I finished my long proposal after four months, but now I think I’ll work much faster



“But the company is so interesting, they offered me a job already!”



“I am almost done, all I have to do is write the thesis.”



“I don’t care about the topic, as long as I can become a consultant.”

• http://mbiprojects.wordpress.com/ • http://www.cs.uu.nl/groups/OI/index.php?id= 3&subid=2

And now for the individual presentations

Sjaak Brinkkemper Research Interests 

Methodology of product software development



Method Engineering



ICT Entrepreneurship and Software Industry

Finished projects 

Requirements engineering decision making: decision characteristics for product change requests (Jaap Kabbedijk @ Lund University)



An implementation method for disease management software (Juliette van Hövell @ VitalHealth)



The difference between proJEct management and proDUct management (Christina Manteli @ internal)



A knowledge infrastructure for product software development (Baldur Kristjansson@ Levi9)

Running projects 

SPM competence model for product line development (@ CCV)

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Open projects Sjaak Brinkkemper Product Software 1. Software licensing and contracting in multi-tenant on-line software 2. Financial estimations for the ICT start-up business model 3. Models for export of on-line software products 4. Success patterns in ICT entrepreneurship, a comparison between India, US and Europe (IIIT, Hyderabad) 5. Determinants of success or failure of venture capital driven ICT start-ups versus selfstarters 6. Quality estimations for Functional Architectures 7. Outsourcing in the Software Industry: Knowledge infrastructures and Product knowledge centers Software Product Management 1. Effectiveness of Scrum for Product Management 2. Situational methods for product roadmapping and portfolio management 3. The interplay of requirements and architecture in very large scale requirements engineering 4. Linguistic techniques in requirements organization Method Engineering 1. E-Method – a Online Method Engine for situational method support 2. Method mash-ups– combining tools in methods

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Slinger’s research 

ServiciFi – Modernizing legacy applications



Product as a Service – Offering customized multi-tenant SaaS applications



VisualizeKo – Visualizing software ecosystems



CoCoDeploy – Composition and Configuration of Model Driven Applications in Ecosystem Architectures

Themes 

Entrepreneurship



Case study research methods



Software ecosystems



Ecosystem architectures



Model driven architecture



Software business 20

Available Topics (Slinger) 

Modeling the Games Ecosystem



Mining software repositories for software ecosystem health determination



Measuring the speed of innovation in software ecosystems



Determining the decomposability of legacy systems



Visualizing Software Operation Knowledge at AFAS



Creating a maturity matrix for Customer Configuration Updating practices



Financial modeling for software ecosystems



Software ecosystem modeling



Pattern Adoption in the Product Software Industry



Servicification for Multi-tenancy



Software Ecosystem Suitability Metrics



Model Driven Software Development



Dynamic App Composition



Several Ecosystem Projects at Uni-Darmstadt, Finland – Jyvaskyla uni, UCL, SAP @ Walldorf, etc.



Several entrepreneurship related topics (at UtrechtInc. or Rockstart)

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My Contacts @

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Example project: RockStart 

What’s the next most known challenge for a startup after an accelerator program? Where in a startups’ life cycle are the founders normally experiencing the biggest challenges?



Is there space for a growth accelerator? Who normally steps in to help growth startups- and is the current model sufficient?



Where in Eastern Europe would be the best place to start an accelerator? Analysis of Government funding, Angel investors, VCs and private equity funds?



Which continents are going to be the most interesting markets within the next ten years in terms of technology development within e.g. cloud-based services, big data, mobility, energy etc. ?



What business model are business-accelerators using when scaling the concept and what kind of services do they include? (E.g. Licensing, non-profit, Joint venture).



What are the next ‘trend’ within startup initiatives. What’s the next for-profit initiative after accelerator? 23

Generating Creative Mobile Applications  Problem

VS

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Multi-tenancy @ Microsoft Copenhagen  How to scale up an ERP application?  Host multiple customers per server?  Host multiple databases per client?

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Product Management Challenges at Stabiplan  How to deal with “formal” requirements?

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Fabiano Dalpiaz  Research interests – Design of socio-technical systems • Not only software, but people and organizations too!

– Requirements Engineering • How to elicit, model, and analyze requirements?

– Game production • Requirements, architectures, release, maintenance, reuse, business models

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Fabiano’s thesis topics  Production of serious games: from craft to discipline  Requirements engineering for games: how to conduct it effectively?  On the role of reuse in the production of games: towards games product lines  How much are socio-technical factors taken into account in software design?  Modeling real socio-technical systems: how do they work, why do they work, how can we make them work better?  Security in game production: the sooner, the more secure!  More topics are available, and your ideas are welcome! 28

 Cognitieve gedragstherapie (voor insomnia) via mobiele applicaties  Ontwikkeling en implementatie van persuasieve strategieën  Toepassing van sensoren en sociale netwerken  Ontwikkeling van onderzoeksinfrastructuur

 Voor meer informatie: Robbert Jan Beun ([email protected]) 29

Arjan de Kok Research Topic The New Way of Working (Het Nieuwe Werken) and the role of ICT & Knowledge Management 

New working principles (result driven)



ICT (media use, BYOD)



KM (information sharing, channel choice)

Potential project 



ICT use & optimization –

Which ICT tools best support NWOW and how can they be optimized in a specific situation to improve NWOW implementations?



(Multiple) Case study at companies using NWOW

Information storage & usage –



Which information is essential for the knowledge worker and how can this information best be stored and used in a NWOW environment?

Contact: [email protected]

Recent projects (Marco Spruit)  Research interests – Business Intelligence (esp. Data analytics in Health care) – Information security

 Some recent example MSc theses: – Farro,Darrel (2013/08/23). The Healthcare No-show Reduction Method. @UMC Utrecht – Shen, Zhengru (Ian) (2013/03/22). Knowledge discovery in high throughput screening: Creating a data mining techniques selection framework. @UMC Utrecht/Cell Screening Center – Peersman,Hans (2013/01/29). Preventing Data Breaches by Proactive Data mining. @Deloitte

 Open projects: http://m.spru.it/edu/msc/open

Example open project (Marco Spruit) MS2013-04: Medical sequencing – Next-gen DNA sequencing technology – Cheaply and quickly read off the DNA of patients on a large scale. – UMC Utrecht is working on a service model for effective and efficient nextgeneration sequencing for a wide variety of medical applications, for different departments that use DNA technology in their diagnosis, including medical genetics, pathology, microbiology, and immunology. – Process modeling, data modeling, business/service modeling, scenario building, requirements engineering, etc

“Towards the 1,000 dollar genome”! – Cheap: 7.5 or 8  Grade of graduation project > 8  Independence in writing paper from thesis For a PhD project there are several options:  At University – Requires project with funding – At UU, NL university or abroad



At company in a 20%-80% or 40%-60% work division

Those interested in pursuing a PhD should make an appointment with Sjaak Brinkkemper

Final remarks  The Center’s website: www.cs.uu.nl/groups/OI – – – –

News MBI-Colloquium information Education -> Graduation information [email protected]

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