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CHAPTER 7 Software Quality Assurance
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4. Rework The producer reviews the report and corrects the product. 5. Follow-up The moderator reviews the report and the correction. If it satis es the exit criteria, the inspection is completed. If not, the moderator can either have the producer rework the product or reinspection can be scheduled.
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7.2.3 CHECKLISTS
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A checklist is a list of items that should be checked during the review. Sometimes the items are expressed as questions to be answered. The value of a checklist is that it focuses the attention of the reviewer on potential problems. Every fault that is found should be analyzed to see if it warrants a checklist item to focus on that problem. (I recall a long debugging process caused by a semicolon directly after the condition in an IF statement in C . Now any checklist for C programs I write includes checking for semicolons at the end of decision conditions.) Checklist items that are not e ective in nding faults during inspections should be considered for removal. Too many checklist items will lessen the e ectiveness of the inspection.
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Software Reliability
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Reliability is the probability of not failing in a speci ed length of time. This is usually denoted by R(n), where n is the number of time units. If the time unit is days, then R(1) is the probability of not failing in 1 day. The probability of failing in a speci ed length of time is 1 minus the reliability for that length of time (F n 1 R n ). Software reliability is a measure of how often the software encounters a data input or other condition that it does not process correctly to produce the right answer. Software reliability is not concerned with software wearing out. A better analogy for software failures is picking marbles out of a bag or throwing darts blindfolded at balloons on a wall.
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7.3.1 ERROR RATES
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If an error happens every 2 days, then the instantaneous error rate would be 0.5 errors per day. The error rate is the inverse of the time between errors (inter-error time). The error rate can be used as an estimate of the probability of failure, F(1). Unless we know some trend, the best estimate of the short-term future behavior is the current behavior. So if we nd 20 errors on one day, our best estimate for the next day is 20 errors.
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EXAMPLE 7.1
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CHAPTER 7 Software Quality Assurance
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If an error happens after 2 days, what is the probability that the system will not fail in 1, 2, 3, and 4 days If an error happens every 2 days, we can use 0.5 as the instantaneous error rate. It can also be used to estimate the failure probability for 1 day. Thus, F(1) = 0.5. Then, R 1 1 F 1 0:5: R 2 0:25: R 3 0:125: R 4 0:0625.
If we can see a trend in the error rates, then we can estimate the error rate better. Instead of using equations to t the data, plots of the failure rate can be used to visualize the behavior. If x is the inter-failure time, 1=x is the instantaneous failure rate. Plot the instantaneous failure rate versus either failure number or the elapsed time of the failure. Try to t a straight line to the points. The value of the line at the current time can be used for the error rate. The intersection of this line with the horizontal axis indicates either the fault number where the failure rate goes to zero, or the amount of time necessary to remove all the faults. When the x-axis is the elapsed time, then the area under the straight line (units are time failure/time) represents the number of faults. Thus, empirical data about how often the software fails during testing or observation is used to estimate the current rate. Theoretical ideas will be used to re ne the predictions for longer periods of time.
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