Selection and Evolutionary Development of Software-Service Bundles: a Capability Based Method @ASDENCA2016
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The document discusses a capability-driven method for selecting and evolving software-service bundles that cater to varying client contexts and performance requirements. It outlines objectives such as improving collaboration between vendors and clients and monitoring delivery performance to ensure continuous improvement. The paper includes an application example and emphasizes the importance of adapting to changing circumstances in software-service delivery.
Selection and Evolutionary Development of Software-Service Bundles: a Capability Based Method @ASDENCA2016
- 1. Selection and Evolutionary Development of Software-Service Bundles: a Capability Based Method Jānis Grabis1, Kurt Sandkuhl2 1Institute of Information Technology, Riga Technical University, Kalku 1, Riga, Latvia 2 Chair of Business Information Systems , University of Rostock, Albert-Einstein-Straße 22, Rostock, Germany grabis@rtu.lv, kurt.sandkuhl@uni-rostock.de
- 2. Outline • Motivation • Objectives and problem statement • Method elaboration • Application example • Conclusion
- 3. Software-Service Bundle • Software is available in different versions • Software is made available with a number of additional services • Support • Domain expertise • Outsourcing
- 4. State of the Art • Product-line development – Pohl et al. (2005) • Packaged software selection – Jadhav and Sonar (2009) • Evidence based software engineering – Olsson and Bosch (2015)
- 5. CDD Approach • Assumptions – Suitability of software-service bundles is context dependent – A bundle optimizing performance is desirable – Clients share software usage data • Capability driven development (CDD) is an approach for delivering services in different contexts at the desired level of performance – Bērziša et al. (2015)
- 6. Objectives • To elaborate a method allowing collaboration between vendor and client in selection of the right configuration of software-service bundles and continuous improvement of the selected configuration – Based on the CDD approach
- 7. Problem Statement Software- service bundle O1 O2 O3 O4 O5 O6 Performance and context data Vendor Client A Context Performance O5 Client B Context Performance O4 Client C Context ? ?
- 8. Evolutionary development process Create capability support matrix Define capability model Engage new client Select appropriate configuration Deploy solution Monitor delivery Goals not achieved Context has changed • Capability model • What factors affect service delivery and which solutions could be used • Capability support matrix • Which configuration is suitable in a specific context situation • Continuous improvement • Development of new configurations
- 9. Evolutionary Development Stages Design stage Delivery stage Evolution
- 10. Design Stage • Initial configuration of the software-service bundle is selected and deployed for a new client • Relevant parameter for the selection: – Context elements: have a context range – Context situations: combinations of context element values from the context range – Most plausible context situation Cnew for a new client – Configurations Oj derived from Capability Support Matrix • Client also sets KPI • Least cost configuration Oj appropriate for context situation faced by the new client 1 1 1 1 N2 … 1 H 2 … Configurations ContextSituations CSM ),...,( 1 iiTii crcrCR N H CRCR CSCS ... ,..., 1 1 )1|min( i new ij CSCSaj
- 11. Delivery Stage • Software-service bundle is in use by the client • Context situations and delivery performance are monitored • Delivery performance: – Monitoring is based on real-time values of KPI – Actual values are compared to target values – On underperformance, recommendation to revise solution is issued • Context monitoring – Comparison of observed context situation with context situations supported by current configuration – If current configuration no longer fits, warning is issued • Context monitoring serves as an advanced warning system to potential performance deterioration
- 12. Evolution • Adjustment of software-service bundle to changing circumstances • Violations of performance objectives or unsupported context situations suggest an upgrade of the current configuration • Alternative ways – Selection of a more suitable configuration from CSM – Reevaluate CSM for the software product – Special software-service bundle needs to be developed
- 13. Application Example • Business information exchange process – Manual processing – Automated processing – Outsourcing
- 14. Capability Model
- 15. Capability support matrix Processing load level Load volatility O1 O2 O3 Low Low 1 Low Medium 1 1 Low High 1 Medium Low 1 Medium Medium 1 1 Medium High 1 High Low 1 High Medium 1 High High 1
- 16. Simulated Evolution • Demand for data processing services is simulated – Changing demand level – Changing demand volatility • EXP1 – Is manual processing appropriate for low demand situation? • EXP2 – Is outsourcing needed for high volatility situations? low,if 100 medium,if 00 1000 high,if 1000 PLC
- 17. Simulation Results (EXP1) O1 O2
- 18. Simulation Results (EXP2) O2 O3
- 19. Conclusion • Incentives for data sharing • Limitations of simulation based evaluation • Cost of evolutionary development