Product Data PStr BI QREME – Quality Strategic Requirements Management model for supporting decision- making Operational Thomas Olsson and Krzysztof Wnuk REFSQ, Utrecht, March 2018 PSc An RISE Research Institutes of Sweden Software and Systems Engineering ICT Division
How can we support portfolio and product decision makers with respects to QRs? 2
Background 3
There is a need for an explicit feedback from usage data to the scope decision process Should it be this slow? I am fulfilling the strategy You need to talk to the Performance stakeholders is bad 4
There is a need for explicit scope decisions on both strategic and operational levels I have a great QR I am working on I can only do something else a small part Who can implement this feature? It seems very big 5
Business intelligence and usage data should explicitly be connected to the scoping process Anywhere between 1-10s is really ok The time should be 1ms I don’t think Excellent, go we can reach execute that 6
QREME 7
Goals ▪ Shorter lead-time from inception to scope decision ▪ Better effectiveness of scope decisions ▪ Better use of resources 8
The forward- and feedback-loop Speed Roadmap 9
Level and dimension – compact digital camera examples Product Data PStr BI -Market leader on -Competitors Strategic shot-to-shot -Mobile phones -Good enough -DSLR viewing response- -Customer groups time -Young adults -Professionals -R1: Zero-to-shot: 1s -Camera start-up time -R1: Shot-to-shot: 0.7 -Shot-to-Shot time Operational -R2: Shot-to-shot low -Viewer start-up res: 0.5 -Low resolution viewer experiment PSc An 10
Continuous interaction in the scoping process 11
Future work 12
Future work ▪ Validate the underlying empirical assumptions in other companies ▪ Elicit practitioner feedback on QREME ▪ Evaluate QREME in a case study 13
Product Data PStr BI Strategic THANK YOU! Operational Thomas Olsson thomas.olsson@ri.se PSc An RISE Research Institutes of Sweden Software and Systems Engineering ICT Division
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