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Selection and Evolutionary Development of Software-Service Bundles: a Capability Based Method @ASDENCA2016

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Presentation of the paper "Selection and Evolutionary Development of Software-Service Bundles: a Capability Based Method" at ASDENCA 2016 Workshop. Authors: Janis Grabis and Kurt Sandkuhl

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Selection and Evolutionary Development of Software-Service Bundles: a Capability Based Method @ASDENCA2016

  1. 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. 2. Outline • Motivation • Objectives and problem statement • Method elaboration • Application example • Conclusion
  3. 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. 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. 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. 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. 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. 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. 9. Evolutionary Development Stages Design stage Delivery stage Evolution
  10. 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. 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. 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. 13. Application Example • Business information exchange process – Manual processing – Automated processing – Outsourcing
  14. 14. Capability Model
  15. 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. 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. 17. Simulation Results (EXP1) O1 O2
  18. 18. Simulation Results (EXP2) O2 O3
  19. 19. Conclusion • Incentives for data sharing • Limitations of simulation based evaluation • Cost of evolutionary development

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