A framework for the integration of MOF-compliant analysis methods

  • Authors:

  • Xiangping Chen;Gang Huang;Franck Chauvel;Yanchun Sun;Hong Mei

  • Affiliations:

  • Sun Yat-sen University, Guangzhou, China and Research Institute of Sun Yat-sen University in Shenzhen, Shenzhen, China and Shenzhen Key Laboratory of Digital Living Network and Content Service, Sh ...;Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China and Peking University, Beijing, China;Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China and Peking University, Beijing, China;Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China and Peking University, Beijing, China;Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China and Peking University, Beijing, China

  • Venue:
  • Proceedings of the Second Asia-Pacific Symposium on Internetware
  • Year:
  • 2010

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Abstract

With the increasing maturity of model-driven tools and methods, new model-based analysis methods are developed to support specific stakeholder concerns during software lifecycle. This multiplication of models and their related analysis tools calls for solution addressing the integration of MOF-based analysis methods. Current research works on integration of analysis methods have already addressed the extraction of the needed input data as well as the control and the integration of the tools supporting the analysis execution. However, little attention has been paid to the integration of analysis results back into initial model. We propose a MOF-based framework enabling the integration of analysis results that a) defines a meta-model capturing the integration requirements, b) provides a MOF meta-model extension mechanism with support for upward compatibility; and c) automatically generates a model transformation for model integration. We illustrate the use of our framework by integrating a reliability analysis methods and a fault tolerant reconfiguration method on the ABC/ADL Software Architecture. We applied the resulting analysis composition onto the ECPerf JEE system.