Analyzing the Improved Software Reliability Based on the Markov Model by Considering Error propagation

  • Authors

    • Dr S. Srinivasa Rao
    • D Sowjanya
    • CH Dileep Chowdary
    • M Harika
    2018-05-31
    https://doi.org/10.14419/ijet.v7i2.32.13534
  • Software Reliability, MDD, Markov model, BW algorithm, AADL Model

  • In the software reliability analysis we proposed an approach, which is named as Model Driven Development method. This is a modelling and model transformation techniques. The Markov model used in reliability ï¬elds is modiï¬ed to adapt to error propagation behaviors of components. The Markov model has been used for results of reliability analysis. Markov model which means that that future or upcoming states depend only on the present state not on the events that occurred before it to ensure high reliability of this software is to estimate reliability accurately in the developing phase. Then a study on the transformation between model based on Architecture & Analysis Design Language (AADL) and Markov model has been done. By considering all these a model based software reliability analysis approach is proposed.

     

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  • How to Cite

    S. Srinivasa Rao, D., Sowjanya, D., Dileep Chowdary, C., & Harika, M. (2018). Analyzing the Improved Software Reliability Based on the Markov Model by Considering Error propagation. International Journal of Engineering & Technology, 7(2.32), 91-93. https://doi.org/10.14419/ijet.v7i2.32.13534