A M2MC based approach for mapping two ADL models

  • Authors:

  • Sai Bharath Kadati;K. K. Baseer;A. Rama Mohan Reddy;C. Shoba Bindu

  • Affiliations:

  • Information Technology, SVEC, Tirupati, India;JNIAS/JNTUA, University, Hyderabad;Sri Venkateswara University, Tirupati, India;JawaharLal Nehru Technological University, Anantapur, India

  • Venue:
  • Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
  • Year:
  • 2012

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Abstract

Architectural modeling has advised many domain-specific notations, where as each one focus on a specific application domain, analysis type, or modeling environment. In IT industry, a system architecture and structured artifacts are represented by using some informal diagrams and formal models. A software architect was not affirmed by his own language/tool and has to model a bear on, and he has to manually transform the accessible architectural specification into the required language/tool. We configured a framework based on Comparison of Greedy Search and Ammolite algorithms, which can cardinally finds the correspondence architecture models/diagrams. By keeping it in practice, the Darwin/FSP ADL and to a UML2.0 profile for software architectures we apply the M2MC approach. This brings assembled various contexts through a common semantic core, called A0. It performs different individual matches such as pairwise, Split-Merge and Drop match and then combines all matches together to design an ADL model. To rate the quality candidates for every ADL model it has some correspondence score. To find best Correspondence among the given ADL models uses different search Algorithms.