Detecting Meta-Patterns from Frameworks Using Hybrid Genetic Algorithm

  • Authors

    • Tapan Kant
    • Manjari Gupta
    • Anil Kumar Tripathi
    • Meeta Prakash
    2018-04-18
    https://doi.org/10.14419/ijet.v7i2.20.16732
  • Genetic Algorithm, meta-patterns, Object-oriented framework, Sub-graph.

  • Abstract

    Meta-patterns are a sort of basic object-oriented constructs that have been used to design an object-oriented framework. It has been used to precisely describe possible design pattern of a framework at meta-level to manifest framework hot-spots and its corresponding adaptability. The present study is an attempt to develop a genetic algorithm approach for detecting the types and numbers of meta-patterns. For this purpose we have converted the UML class diagram of object-oriented framework and meta-patterns into directed graph and applied hybrid genetic algorithm. The obtained results from the proposed algorithm are further validated manually with the recall and precision percentage of 86.20 and 80.64 respectively. Overall the study demonstrates the utility of the uniquely proposed algorithm for the near accurate identification of meta-patterns for high reusability. This can be applied on frameworks for assessing the evolution process, documentation of hot-spots and reducing the customization effort.

     

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  • How to Cite

    Kant, T., Gupta, M., Kumar Tripathi, A., & Prakash, M. (2018). Detecting Meta-Patterns from Frameworks Using Hybrid Genetic Algorithm. International Journal of Engineering & Technology, 7(2.20), 350-356. https://doi.org/10.14419/ijet.v7i2.20.16732

    Received date: 2018-08-03

    Accepted date: 2018-08-03

    Published date: 2018-04-18