B. A software product has been observed to fail two (2) times in 8 hours. Calculate the failure intensity and determine the time between failures.
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- The time till failure of a part, T years, has the probability density function below and is zero elsewhere, where k is a constant.i. Sketch a graph of the failure rate against time.ii. What does the shape of this graph tell you?In a ready-mix plant, cylindrical samples are prepared and tested periodi- cally to detect any mix problem and to ensure that the compressive strength is higher than the lower specification limit. The minimum target value was set at 34 MPa. The compressive strength data shown in Table P1.40 were collected. a. Calculate the mean, standard deviation, and the coefficient of variation of the data. b. Using a spreadsheet program, create a control chart for these data showing the lower specification limit. Is the plant production meeting the specifica- tion requirement? If not, comment on possible reasons. Comment on the data scatter. TABLE P1.40 Compressive Strength (MPa) Compressive Strength (MPa) Sample No. Sample No. 1 38.6 11 46.1 2 35.4 12 37.6 3 43.8 13 36.4 4 35.8 14 46.2 5 35.77 15 35.8 6 36.1 16 41.5 7 41.1 17 36.7 8 40.5 18 39.0 42.4 19 45.5 10 35.3 20 36.1 During construction of the surface layer of asphalt pavement, two samples were taken every day to measure the asphalt content…Using exponential reliability growth model, determine the probability that the software will continue to function after 8 hours?
- A. Briefly explain the term "Failure Intensity" and how it relates to software reliability. B. A software product has been observed to fail two (2) times in 8 hours. Calculate the failure intensity and determine the time between failures. C. Using exponential reliability growth model, determine the probability that the software will continue to function after 8 hours?A new laptop was about to be released in the market. It is out for some alpha testing. The manufacturer decided to select 9 random testers and asked them about the battery life of their laptop. The average battery life of the laptop used by the 9 testers were 6.8 hours, with a standard deviation of 1.2. Construct a 99.5% confidence interval.2. One hundred specimens from patients at increased risk for HIV infection were tested by Architect HIV Ag/Ab Combo. Of these 100 specimens, 70 were tested reactive (meaning screaning test positive). 69 of these 70 reactive specimens were positive by confirmatory testing. Compute for the SPECIFICITY, SENSITIVITY, and ACCURACY.
- Calculate average wait time for the following situation. Time quanta 5 minC) You experiment with N=10 identical sub-systems. You discover that the times (in years) to failure are: 10.2, 12.0, 8.7, 6.1, 14.0, 13.0, 7.6, 8.8, 9.2, 10.4 Propose a reliability model for a system that uses three of these sub-systems in parallel in the reliability sense. Evaluate the probability that this system is still working after 10 years. What are the main characteristics of the exponential model of sub-system reliability?A computer virus that spreads by way of e-mail messages is planted in 3 machines the first day. Each day, each infected machine from the day before infects 5 new machines. By the end of the second day, a software solution has been found to counteract the virus, and 1 machine is clean at that point. Each day thereafter, 6 times as many machines are clean as were clean the day before. How many days will it be before the effects of the virus are completely gone?
- 5. The guidance system of a ship is controlled by a computer that has three major modules. In order for the computer to function properly, all three modules must function. Two of the modules have reliabilities of .97, and the other has a reliability of .99.a. What is the reliability of the computer?b. A backup computer identical to the one being used will be installed to improve overall reliability. Assuming the new computer automatically functions if the main one fails, determine the resulting reliability.c. If the backup computer must be activated by a switch in the event that the first computer fails, and the switch has a reliability of .98, what is the overall reliability of the system? (Both the switch and the backup computer must function in order for the backup to take over.)You are eliciting an expert about the frequency of waves over 3 feet high in the coming year. Most years, approximately 100 waves over 3 feet occur, but you are aware this value may change in the coming year because of environmental factors. Which of the following statements is true? NOTE - Gambler's fallacy and regression to the mean are biases that result from the representative heuristic which you may encounter when using expert judgment. In summary, Gambler's fallacy is the belief that is something happens more (less) frequently in past, then it will happen less (more) frequently in future. Regression to the mean is the phenomenon that if the frequency is extremely high or low in past then it will tend to be closer to average in future. Select one: O a. Last year 200 waves over 3 feet high occurred. The expert may underestimate the frequency of waves over 3 feet high in the coming year because of gamblers fallacy. The expert may underestimate the frequency of waves over 3 feet high…Denial of Service attacks are estimated to happen once every six months (twice a year) in a mid-size company. One such company, XYZ, estimates the cost of recovering from a single DoS attack to be $10,000. The company decides to apply a number of controls to counter these attacks. With these controls, the frequency of successful DoS attacks against the company reduces to once a year and the cost of recovering from an instance becomes $6,000. The cost of implementing these controls is $12,000 a year. From a purely financial point of view, is it worth for the company to implement these controls? O None of the these Yes, because the measures will save the company $2,000. ONo, because the measures will cost the company $2,000. No, because the measures will cost the company $4,000. Yes, because the measures will save the company save $14,000.