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Software Process Simulation and Modeling: A Review

Software Process Simulation and Modeling: A Review. Walt Scacchi Institute for Software Research UCIrvine Wscacchi@uci.edu http://www.ics.uci.edu/~wscacchi/Presentations/ProSim03 /Keynote. Overview. ProSim, ISPW, FEAST/IWSE ProSim tools, techniques, concepts

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Software Process Simulation and Modeling: A Review

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  1. Software Process Simulation and Modeling: A Review Walt Scacchi Institute for Software Research UCIrvine Wscacchi@uci.edu http://www.ics.uci.edu/~wscacchi/Presentations/ProSim03/Keynote

  2. Overview • ProSim, ISPW, FEAST/IWSE • ProSim tools, techniques, concepts • Results, findings, accomplishments • Emerging R&D opportunities • Conclusions

  3. ProSim, ISPW, FEAST/IWSE • ProSim roots: Intern. Software Process Workshops 1980-1990s (ten) • ProSim Workshop legacy: 1998-2003 (four) • 40 journal papers (JSS, SPIP ) • ProSim cousins: • Feedback, Evolution and Software Technology (FEAST) • Intern. Workshop on Software Evolution

  4. ProSim Focus Areas • Software Process Simulation and Modeling • Project modeling and simulation • Process simulations and simulators • COTS vs. custom simulation packages • Group, team, engineering and evolution processes • Centralized and distributed processes • Relation to other process engineering activities • Analysis, redesign, visualization, scheduling, etc.

  5. ProSim Tools • Commercial simulation & modeling packages • Discrete-event • Systems dynamics (continuous systems) • Research prototypes • Knowledge-based systems • Multi-agent systems • Distributed systems • Model-driven process support environments • Meta-modeling/process ontology interpreters

  6. Discrete-event simulation and modeling

  7. FEAST Systems Dynamics Modeling for Simulation

  8. Vensim Systems Dynamics Modeling and Simulation

  9. Knowledge-based process modeling

  10. ProSim Techniques • Descriptive M&S: Collect empirical data on existing software processes to reproduce observed patterns, or to improve them • Pro/Prescriptive M&S: Construct M&S that demonstrate advantages of new processes compared to some real/imaginary baseline • Experimental M&S: Construct M&S that test theoretical propositions or enable exploration of emerging concepts

  11. Descriptive capture and tabular coding of process model details

  12. Lehman Software Evolution Growth Data

  13. ProSim EngineeringTechniques

  14. As-is vs. to-be process

  15. ProSim Concepts • Meta-modeling vs. modeling • Model-driven process support environments • Simulators, PSE/IDEs, Web-based process hypertext/media • Process improvement via simulation, analysis, and redesign • Process depth vs. breadth

  16. Process Meta-Model (left) and example process model (right)

  17. Results, Findings, Accomplishments • Identifying high-yield and pathological processes and process domains • Software evolution • Software process improvement/redesign • Software process vs. business process • Hybrid simulations/models • Process modeling languages • JIL, PML, xPADL, BPEL4WS (?)

  18. Web-based process hypertext example

  19. A complex SDLC process model: a decomposition-precedence relationship view (19 levels of decomposition, 400+ tasks)

  20. Research grant justification and approval process at Office of Naval Research

  21. M&S of CMM assessed processes M&S of alternative SDLC process/tool frameworks (Waterfall vs. Spiral vs. Agile) M&S software deployment/release, diffusion, and adoption processes M&S of software evolution process across Product lines Product/technology generations Missing Results, Findings, Accomplishments

  22. Emerging ProSim R&D Opportunities • M&S open source software development/evolution processes • Open source ProSim tools and M&S examples • Global ProSim interoperability testbeds • Computer Game-based ProSim tools and techniques

  23. Emerging ProSim R&D Opportunities • M&S open source software development/evolution processes

  24. Module maintainer Board member Release Process for NetBeans.org Release Manager Decide future release dates Start a new release phase (Mailing list) Determine main features (Mailing list) Determine project features (Mailing list) Create module web page (Web site) Module Web Page Release proposal Module plan Build (CVS scripts) Roadmap Schedule Site administrator source code QA Team Developer Final Release Development build Download links (SourceCast) Check (NetBeans, Mailing list) Write bug fix (NetBeans) Test (NetBeans) NetBeans Web Site List of bugs to fix Release candidate2 Check (NetBeans, Mailing list) Q build Use (NetBSeans, Issuezilla) Release information update (SourceCast) Check (NetBeans, Mailing list) Release candidate 1 Decide which bugs to fix (Issuezilla) List of bugs User Release Manager

  25. Linux Kernel growth

  26. GNOME Growth

  27. Emerging ProSim R&D Opportunities • Open source ProSim tools and M&S examples

  28. Protégé 2000 OSS Modeling Tool

  29. Emerging ProSim R&D Opportunities • Global ProSim interoperability testbeds

  30. Global ProSim testbed concept

  31. Emerging ProSim R&D Opportunities • Computer Game-based ProSim tools and techniques

  32. Computer game process simulation environment

  33. Another game M&S environment

  34. QuakeCon LAN Party with >1700 game players

  35. Conclusions • R&D in Process Simulation and Modeling is active, sustained, growing • Systems Dynamics remains the major mode of ProSim research, though this may require rethinking • ProSim has produced substantial results and accomplishments • New opportunities for ProSim R&D are apparent and high value

  36. Acknowledgements • The research in this presentation is supported by grants from: • National Science Foundation • #IIS-0083075, #ITR-0205679, #ITR-0205724 • No endorsement implied. • Collaborators: Mark Ackerman (UMichigan), Les Gasser (UIUC), John Noll (SCU), Margaret Elliott and Chris Jensen (UCI-ISR)

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