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Applying a Research Prototype Tool in Industrial Practice

FSE-18. Ottawa Carleton Institute for Computer Science. Applying a Research Prototype Tool in Industrial Practice. Umple: a Model Oriented Programming Language. University of Ottawa. Presented By : Omar Badreddin Supervised By : Timothy C. Lethbridge. obadr024@uottawa.ca

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Applying a Research Prototype Tool in Industrial Practice

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  1. FSE-18 Ottawa Carleton Institute for Computer Science Applying a Research Prototype Tool in Industrial Practice Umple: a Model Oriented Programming Language University of Ottawa Presented By: Omar Badreddin Supervised By: Timothy C. Lethbridge obadr024@uottawa.ca tcl@site.uottawa.ca 9 November 2014

  2. Demo: Umple Online http://cruise.site.uottawa.ca/umpleonline/ Demo: Eclipse Plug-in http://cruise.site.uottawa.ca/umpleonline/download_eclipse_umple_plugin.html

  3. Umple’s Vision

  4. So what is Umple? • Model-oriented programming • Adds UML abstractions to any OO language • Class and state diagrams • Removes boilerplate code • Allows simultaneous textual and diagrammatic modeling • Eliminates round-tripping • Don’t edit generated code, just embed your custom code

  5. My PhD work

  6. Runway State Machine

  7. State machine implementation Editor Tests Tokens Tests Meta-Model Tests Generated Code Tests Generated System Tests Umple Textual Editor Total Number of tests: > 1644 Eclipse 3.4, 3.5, and 3.6 Vista, XP, MAC

  8. Grounded Theory study of Umple

  9. Challenges and Mitigation

  10. Remaining Work • Refine implementation of Nested and concurrent states • Build more examples • Complete the grounded theory study of Umple users • Model versioning and UML action language (next slide)

  11. Model Versionning and Merging • RSA: 712 – (~ 80 layout information) = 632. • Umple: About 35 lines of code (without layout information)

  12. UML Action Language • Proposed ALs are textual • Umple’s action language is Java or Php. • Using a bottom up approach to achieve a better action language by: • Restricting existing OO language (limit access to internal representation of state machine) • Defining additional abstractions (event names) • Using language independent syntax (Boolean expressions)

  13. BACK UP SLIDES

  14. Research Questions • To what extent do software developers use state machines to model system behavior and specifications? What are the major factors behind that level of adoption? • Can the gap between state machine diagrams and code be minimized by incorporating core state machine abstractions in a high-level programming-like language? • To what extent could systems that do not use state machines abstractions be made to use them?

  15. Hypotheses • H 1: Software developers can develop software more effectively if they can develop state machines in a similar manner to which they develop code. • H 2: State machine adoption in the software industry can be enhanced if core state machine concepts are incorporated in programming-like textual language.

  16. “The biggest payoff will not come from new research but from putting old ideas into practice” Pernars, D. ACM Fellow

  17. New Work: State Machine

  18. Code Island Model Island

  19. Code Generation Reverse Engineering

  20. In Umple Island, you get the best of both Introduction 4 Model in Code Code in Model

  21. Model Versioning and Merging • Existing tools use the XMI for persistence of models • XMI is relatively larger in size, high probability of conflicts • Software repositories do a good job with versioning and merging of code. • Umple syntax is highly concise and abstract

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