1. This research is supported by NSF CAREER award CCF-1052616 MT-Scribe: A Flexible Tool to Support Model Evolution Yu SunUniversity of Alabama at Birmingham Jeff GrayUniversity of Alabama Jules WhiteVirginia Tech FlexiTools @ SPLASH2010 Reno, Nevada, USA October 18 th, 2010

2. Manual Transformation is Challenging  Manually editing is the most direct way to transform models  Manual editing is  Tedious  Time-consuming  Error-prone 2

3. Using Model Transformation Languages  MTLs are specialized languages to implement model transformation tasks  Automate scaling up models by programming 3 QVT Query/View/Transformation ECL Embedded Constrain Language GReAT Graph Rewriting and Transformation Popular Model Transformation Languages Challenge 1: Steep learning curve Challenge 2: Deep understanding about the domain definitions

4. Solution: Model Transformation By Demonstration  A complete model transformation framework  Specify and execute model transformations  Users are fully isolated from MTLs and domain definitions  Infer and generate model transformation patterns by demonstrating model transformations on concrete examples 4 Add, Remove, Update

5. Overview of MT-Scribe

6. A B cde B cde F B cde MT-Scribe to Support Model Evolution 6

7. Thank You  Questions and Comments?  Additional questions  yusun@cis.uab.edu Model Transformation By Demonstration This research is supported by NSF CAREER award CCF-1052616