Performance Modeling Based on Real Data: A Case Study
IEEE Transactions on Computers - Fault-Tolerant Computing
Conceptual Modeling of Coincident Failures in Multiversion Software
IEEE Transactions on Software Engineering
Dependability Modeling and Evaluation of Software Fault-Tolerant Systems
IEEE Transactions on Computers
Reliable computer systems (2nd ed.): design and evaluation
Reliable computer systems (2nd ed.): design and evaluation
Annals of Software Engineering
Performability Modeling with UltraSAN
IEEE Software
SPNP: Stochastic Petri Net Package
PNPM '89 The Proceedings of the Third International Workshop on Petri Nets and Performance Models
The Effect of Workload on the Performance and Availability of Voting Algorithms
MASCOTS '95 Proceedings of the 3rd International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
Numerical evaluation of a group-oriented multicast protocol using stochastic activity networks
PNPM '95 Proceedings of the Sixth International Workshop on Petri Nets and Performance Models
Specification, Safety and Reliability Analysis Using Stochastic Petri Net Models
IWSSD '00 Proceedings of the 10th International Workshop on Software Specification and Design
Probabilistic optimization and assessment of voting strategies for X-by-wire systems
SEUS'07 Proceedings of the 5th IFIP WG 10.2 international conference on Software technologies for embedded and ubiquitous systems
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The increasingly ubiquitous use of embedded systems to manage and control our technologically (ever-increasing) complex lives makes us more vulnerable than ever before. Knowing how reliable such systems are is absolutely necessary especially for safety, mission and infrastructure critical applications. This paper presents a structured compositional modeling method for assessing reliability based on characteristic data and stochastic models. We illustrate this using a classic embedded control system (sensor-inputs | processing | actuator-outputs), Anti-lock Braking System (ABS) and empirical data. Special emphasis is laid on modeling extra-functional characteristics of severity of failures, coincident failures and usage-profiles with the goal of developing a modeling strategy that is realistic, generic and extensible. The validation approach compares the results from the two separate models. The results are comparable and indicate the effect of coincident failures, failure severity and usage-profiles is predictable.