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Estimating web services reliability: a semantic approach

Author

Listed:
  • Shi-Ming Huang
  • Kenvi Wang
  • Shing-Han Li
  • Meng-Cheng Chen

Abstract

Web service technology is becoming increasingly popular because of its potential in many areas. But web services technology is still in its infancy, and there are some aspects that must be improved. One of the domain factors contributing to the success of web service implementation is reliability. But the traditional way of web service reliability analysis cannot demonstrate where reliability problems are. Apart from the traditional way of analysing the reliability of web services, a novel idea using a semantic approach is proposed in this article to estimate reliability. The approach proposed in this article clarifies unreliable situations in the process of web service implementation. Furthermore, a case study and system implementation is demonstrated to verify the technique we propose.

Suggested Citation

  • Shi-Ming Huang & Kenvi Wang & Shing-Han Li & Meng-Cheng Chen, 2006. "Estimating web services reliability: a semantic approach," International Journal of Information Systems and Change Management, Inderscience Enterprises Ltd, vol. 1(1), pages 82-98.
    • Handle: RePEc:ids:ijiscm:v:1:y:2006:i:1:p:82-98
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    Cited by:

    1. Zhou, Wei & O'Neill, Eoghan & Moncaster, Alice & Reiner, David M. & Guthrie, Peter, 2020. "Forecasting urban residential stock turnover dynamics using system dynamics and Bayesian model averaging," Applied Energy, Elsevier, vol. 275(C).

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