Title A framework for the integration of MOF-compliant analysis methods
Authors Chen, Xiangping
Huang, Gang
Chauvel, Franck
Sun, Yanchun
Mei, Hong
Affiliation Institute of Advanced Technology, Sun Yat-sen University, Guangzhou, 510006, China
Research Institute of Sun Yat-sen University in Shenzhen, Shenzhen, 518057, China
Shenzhen Key Laboratory of Digital Living Network and Content Service, Shenzhen, 518057, China
Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, 100871, China
Institute of Software, School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China
Issue Date 2010
Citation 2nd Asia-Pacific Symposium on Internetware, Internetware 2010.Suzhou, China.
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 metamodel 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.
URI http://hdl.handle.net/20.500.11897/329723
DOI 10.1145/2020723.2020724
Indexed EI
Appears in Collections: 信息科学技术学院

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