Component based reliability prediction
| Autor: | Mitrabinda Ray, Mitali Madhusmita Nayak, Sampa ChauPattnaik |
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| Rok vydání: | 2021 |
| Předmět: |
Markov chain
Computer science Strategy and Management 020207 software engineering 02 engineering and technology Variance (accounting) Hierarchical database model Reliability engineering Dependency graph Discrete time and continuous time Component (UML) Component-based software engineering 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Safety Risk Reliability and Quality Reliability (statistics) |
| Zdroj: | International Journal of System Assurance Engineering and Management. 12:391-406 |
| ISSN: | 0976-4348 0975-6809 |
| Popis: | Software components are measured in off the shelf at a great rate to develop reliable software applications. In component based systems, reliability estimation models are developed based on reliability of individual components and their transition probabilities. In this paper, we consider Scenario based Reliability Estimation using the hierarchical model (Discrete Time Markov Chain). In hierarchical model, variance of the number of visits to each component makes the system reliability closer to the estimated reliability value. We propose a reliability estimation model for the whole application. Component Dependency Graph of the systems, Reliability of individual components and transition probabilities between two components are considered as input for the estimation. Discrete Time Markov Chain is used to generate the mean and variance of the number of visits of the individual component from the initial component. This paper illustrates the reliability prediction and sensitivity analysis with examples. |
| Databáze: | OpenAIRE |
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