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논문검색

Parameter Estimation and Comparison for SRGMs and ARIMA Model in Software Failure Data

초록

영어

As the requirement on the quality of the system has increased, the reliability is very important part in terms of enhance stability and to provide high quality services to customers. Many statistical models have been developed in the past years for the estimation of software reliability. We consider the functions for NHPP software reliability model and time series model in software failure data. We estimate parameters for the proposed models from three data sets. The values of SSE and MSE is presented from three data sets. We compare the predicted number of faults with the actual three data sets using the NHPP software reliability model and time series model.

목차

Abstract
 1. Introduction
 2. Models
  2.1. NHPP Software Reliability Model
  2.2. Time Series Model
 3. Numerical Examples and Results
  3.1. Software Failure Data
  3.2. Estimation and Prediction
 4. Conclusions
 Acknowledgements
 References

저자정보

  • Kwang Yoon Song Department of Computer Science and Statistics, Chosun University, Gwangju, Korea
  • In Hong Chang Department of Computer Science and Statistics, Chosun University, Gwangju, Korea
  • Dong Su Lee Department of Computer Science and Statistics, Chosun University, Gwangju, Korea

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