Optimal component architecture using particle swarm optimization algorithm for self-adaptive software architecture

  • Authors

    • Y Mohana Roopa Professor, Department of CSE,Institute of Aeronautical Engineering, Hyderabad
    • M Ramesh Babu
    • Jetti Kumar
    • D Kishore Babu
    2018-06-01
    https://doi.org/10.14419/ijet.v7i1.6.11387
  • Components, PSO, GRASP, Fuzzy Adapter, Context-Aware Systems, Self-Adaptive Software Architecture.

  • Abstract

    The component-based software engineering (CBSE) ensue the procedure of reconfiguration and reusability of components to reap the higher productivity. The context-aware structures are portion of CBSE, which observes the functionality of the system and adopt automatically according to the execution context. In this paper, we are focusing on the aware context guidelines that automatically adapt to the given context given by the customers and remodel the software architecture based totally on the requirements. The component repository turned into added, in which it carries the wide variety of reusable components. The fuzzy logic becomes carried out to the component evaluation in the component repository. The Particle Swarm Optimization (PSO) algorithm applied, to optimize component architecture. The Hospital management system is used to test the adaptability of the system.

     

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  • How to Cite

    Mohana Roopa, Y., Ramesh Babu, M., Kumar, J., & Kishore Babu, D. (2018). Optimal component architecture using particle swarm optimization algorithm for self-adaptive software architecture. International Journal of Engineering & Technology, 7(1.6), 23-26. https://doi.org/10.14419/ijet.v7i1.6.11387

    Received date: 2018-04-11

    Accepted date: 2018-05-12

    Published date: 2018-06-01