Safety and Liveness in Model Checking Approach
Safety and Liveness in Model Checking Approach; •? Safety: Nothing bad happens •? Liveness: Something good happens •? Model checking is especially good at verifying safety and liveness properties –?Concurrency issues –?Non-determinism
Safety and Liveness in Model Checking Approach;
•? Safety: Nothing bad happens
•? Liveness: Something good happens
•? Model checking is especially good at verifying safety and liveness properties –?Concurrency issues –?Non-determinism
What are the questions that comes into mind when designing a system?
Consider the following data for two independent random samples taken from two normal populations. Sample 1 14 26 20 16 14 18 Sample 2 18 16 8 12 16 14 a) Com
I need to product when oil will finish time (by years) for 6 countries if the keep their production (per day) in the same level. So, the 6 countries have fixed reserves and production 1. statistics for Bahrain Crude oil reserves (million barrels) = 124.6 be careful in million Crude oil producti
Quantities in a queuing system: A: Count of
Assumptions in Queuing system: • Flow balance implies that the number of arrivals in an observation period is equal to the
Model Checking Approach: • Specify program model and exhaustively evaluate that model against a speci?cation –Check that properties hold
Program Evaluation and Review Technique (PERT) A) Developed by US Navy and a consulting firm in 1958 for the Polaris submarine project. B) Technique as for CPM method, but acti
Queuing theory: • Queuing theory deals with the analysis of lines where customers wait to receive a service: Q : Define Operational Analysis Operational Analysis: • Analysis method based on the measurement of the operational characteristics of the system. Q : Data Description 1. If the mean number 1. If the mean number of hours of television watched by teenagers per week is 12 with a standard deviation of 2 hours, what proportion of teenagers watch 16 to 18 hours of TV a week? (Assume a normal distribution.) A. 2.1% B. 4.5% C. 0.3% D. 4.2% 2. The probability of an offender having a s
Operational Analysis: • Analysis method based on the measurement of the operational characteristics of the system. Q : Data Description 1. If the mean number 1. If the mean number of hours of television watched by teenagers per week is 12 with a standard deviation of 2 hours, what proportion of teenagers watch 16 to 18 hours of TV a week? (Assume a normal distribution.) A. 2.1% B. 4.5% C. 0.3% D. 4.2% 2. The probability of an offender having a s
1. If the mean number of hours of television watched by teenagers per week is 12 with a standard deviation of 2 hours, what proportion of teenagers watch 16 to 18 hours of TV a week? (Assume a normal distribution.) A. 2.1% B. 4.5% C. 0.3% D. 4.2% 2. The probability of an offender having a s
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