Præsentationen blev holdt ved InfinIT-konferencen SummIT 2013, der blev afholdt den 22. maj 2013 på Axelborg i København. Læs mere om konferencen her: http://www.infinit.dk/dk/arrangementer/tidligere_arrangementer/summit_2013.htm

1. I VA N A A E N
D E PA RT M E N T O F C O M P U T E R S C I E N C E
I VA N @ C S . A A U . D K • W W W. E S S E N C E . D K
M AY 2 2 2 0 1 3
SOFTWARE INNOVATION
B E G R E B E R O G V Æ R D I E R

2. Software Innovation
• Traditionally, Software Engineering is about
efficiency and quality
• Software Innovation is about exceeding
expectations
• Innovation (company level, team/project level)

3. Product
Discovering new technological
options
Can we do more?
New value: Affordance over solution

4. Project
Improvisation over a shared theme
Are we on the right track?
New value: Vision over assignments

5. Process
Selecting and maturing ideas
How do we choose on the fly?
New value: Facilitation over
structuration

6. Paradigm
Where user and developer
expertise meets
Do we get it right?
New value: Reflection over
requirements

7. Innovation Is A Process
30 days
24 hours
Product Backlog
As prioritized by Product Owner
Sprint Backlog
Backlog tasks
expanded
by team
Potentially Shippable
Product Increment
Daily Scrum
Meeting
Review

8. • A system to support physiotherapy for newly
operated patients.
• Rehabilitation at home under physiotherapist
supervision.
• Using
• A Microsoft Kinect in combination with a
video link, a PC or tablet in the patient’s home.
• A cam-equipped PC in the therapist’s office.
UsingValues

9. Paradigm Product Project Process
1st Prototype
Scenarios Configuration
Use context:
Instruction
Metaphor:
X-ray
Evaluation
2nd Prototype
Scenarios Configuration
Use context:
Learning
Metaphor:
Biofeedback
Evaluation
3rd Prototype
Scenarios Configuration
Use context:
Coaching
Metaphor:
Trend analyst
Evaluation
4th Prototype
Scenarios Configuration
Use context:
Quality time
Metaphor:
Timestretch
Evaluation
Hospital & healthcare
data
Learn
Improve
Save time
Calculations
Data integration
Data aggregation
Unused capacity
Available data
Time savings
Reflection Affordance Vision Facilitation