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A model transformation approach to automatic model construction and evolution
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Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering table of contents
Long Beach, CA, USA
SESSION: Doctoral symposium table of contents
Pages: 448 - 451  
Year of Publication: 2005
ISBN:1-59593-993-4
Authors
Yuehua Lin  University of Alabama at Birmingham, Birmingham, AL
Jeff Gray  University of Alabama at Birmingham, Birmingham, AL
Sponsors
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGSOFT: ACM Special Interest Group on Software Engineering
Publisher
ACM  New York, NY, USA
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ABSTRACT

As models are elevated to first-class artifacts within the software development lifecycle, the task of construction and evolution of large-scale system models becomes a manually intensive effort that can be very time consuming and error prone. To address these problems, this dissertation abstract presents a model transformation approach. There are three main features of this research. First, tasks of model construction and evolution are specified in a model transformation language (called the Embedded Constraint Language). Second, a core transformation engine (called C-SAW) is used to perform model transformation in an automated manner by executing the ECL transformation specification. Finally, testing and debugging tools at the modeling level are provided to assist in detecting errors in the model transformation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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