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Oss2015
The document discusses the framework for modeling open source software (OSS) ecosystems, highlighting their significance as business drivers and the increasing complexity and scale of software systems. It emphasizes the need for understanding, evaluating, and monitoring the health and quality of OSS ecosystems through a structured modeling process. Key concepts include collaboration among actors, the evolution of software projects, and the establishment of metrics and evaluation techniques for assessing ecosystem dynamics.
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Oss2015
- 1. 1 “Does the flapof a butterfly's wings in Brazil set off a tornado in Texas?” E. N Lorenz, 1973
- 2. 2 Open Source SoftwareEcosystems: Towards a Modelling Framework Oscar Franco-Bedoya @ohfrancob U. Politècnica de Catalunya Software and Service Engineering Group @gessi_upc OSS 2015 OSS2015 Florence, Italy 17-05-2015
- 3. 3 Open Source SoftwareEcosystems: Towards a Modelling Framework Why? What? How? Where? Conclusions OSS 2015 1 2 3 4 5
- 4. 4 Open Source SoftwareEcosystems: Towards a Modelling Framework RISCOSS POJECT Risks in OSS Open Source Software Software Ecosystems Why?
- 5. 5 OSS has becomea driver for business in various sectors Source: Black Duck 150.000 200.000 500.000 1.000.000 1.400.000 2007 2009 2011 2013 2015 Number of OSS projects
- 6. 6 78% 64% > 66% > 50% Companies run onOS Companies participate in OS projects Their engineers are working on OS Consider OS options Before proprietary OSS is an strategic business enabler Source: Annual future of open source survey 2015 1300 respondents
- 7. 7 Software systems increase incomplexity and scale Ecosystem is a metaphor to understand Competition Innovation Co-creation Collaboration Relationships In Software Systems
- 8. 8 Number of researchersin SECO are growing Studying SECOs from a software engineering point of view Modelling Quality Health Process GovernanceSNA-Cluster
- 9. 9 Definition of software ecosystemis maturing “A collection of software projects which are developed and evolve together in the same platform.” “Set of actors functioning as a unit and interacting with a shared market for software and services.” (Lungu et al., 2008). (Jansen and Cusumano, 2009)
- 10. 10 Exists a needfor modelling software ecosystems. What? Understand Complexity Traceability of Historic changes Communication Between SECO actors Evaluate key Indicators Health, quality, risks
- 11.
- 12. 12 Support the OSS-ecosystems modellingprocess. How?
- 13. 13 A “Draft” ofthe framework
- 14. 14 Generating OSS-ecosystem model fromdata sources. Evaluation Synthesis Analysis Evolution Framework
- 15. 15 Techniques from SOCto the OSS ecosystem health monitoring. Evaluation Synthesis Analysis Evolution Framework QuESo SALMonOSS
- 16. 16 Change the OSSecosystem to satisfy the proposal model Evaluation Synthesis Analysis Evolution Framework
- 17. 17 OSS ecosystem aredynamics artifacts in continue evolution Evaluation Synthesis Analysis Evolution Framework
- 18. 18 We have someartifacts… Where? QuESo Quality model for OSS- ecosystems SALMonADA-OSS Monitoring tool Ontology Classes, Taxonomy
- 19.
- 20. 20 Open Source SoftwareEcosystems: Towards a Modelling Framework Oscar Franco-Bedoya @ohfrancob Thanks! OSS 2015
- 21. 21 SEeD4FI QuESo 2 Productivity Sustainability Process maturity Community quality Size Internal Cohesion Activeness Heterogeneity Regeneration ability Effort balance Expertise balance Visibility Ecosystem network quality *Resources health Network health Core network consistency Vitality Clustering Interrelatedness Synergetic evolution Platform quality Outbound links to otherSECOs From Jansen (2014) SECO knowledge *Niche Creation Switching costs to other SECO Dimension Characteristic Sub-characteristic From QualOSS Trustworthiness Network Cohesion Events Quality Model
- 22. 22 Relations between measuresand quality characteristics QuESo measures QuESo characteristics Mail per day Activeness
- 23.
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- 25. 25 : Ecosystem QualityObject goals-tasks-resources-softgoals : Ecosystem Quality Parameter QuESo Quality characteristics & measures : Ecosystem Measure Directive Measures metrics process : Ecosystem Quality Objectives Logic expressions : Ecosystem Quality Evaluation Event Logic expressions : Ecosystem Action Garantees actions for OSSActors Has Define Trigger eHLA: Ecosystem Health Level Agreement
- 26.