Statistics For Business And Economics Plus Mystatlab With Pearson Etext -- Access Card Package (13th Edition)
Statistics For Business And Economics Plus Mystatlab With Pearson Etext -- Access Card Package (13th Edition)
13th Edition
ISBN: 9780134648361
Author: James T. McClave, P. George Benson, Terry Sincich
Publisher: PEARSON
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Chapter 3, Problem 3.132ACA

Software defects in NASA spacecraft instrument code. Portions of computer software code that may contain undetected defects are called blind spots. The issue of blind spots in software code evaluation was addressed at the 8th IEEE International Symposium on High Assurance Software Engineering (March 2004 ). The researchers developed guidelines for assessing methods of predicting software defects using data on 498 modules of software code written in “C” language for a NASA spacecraft instrument. One simple prediction algorithm is to count the lines of code in the module; any module with more than 50 lines of code is predicted to have a defect. The accompanying file contains the predicted and actual defect status of all 498 modules. A standard approach to evaluating a software defect prediction algorithm is to form a two-way summary table similar to the one shown here. In the table, a, b, c, and d represent the number of modules in each cell. Software engineers use these table entries to compute several probability measures, called accuracy, detection rate, false alarm rate, and precision.

Chapter 3, Problem 3.132ACA, Software defects in NASA spacecraft instrument code. Portions of computer software code that may

  1. a. Accuracy is defined as the probability that the prediction algorithm is correct. Write a formula for accuracy as a function of the table values a, b, c, and d.
  2. b. The detection rate is defined as the probability that the algorithm predicts a defect, given that the module actually is a defect. Write a formula for detection rate as a function of the table values a, b, c, and d.
  3. c. The false alarm rate is defined as the probability that the algorithm predicts a defect, given that the module actually has no defect. Write a formula for false alarm rate as a function of the table values a, b, c, and d.
  4. d. Precision is defined as the probability that the module has a defect, given that the algorithm predicts a defect. Write a formula for precision as a function of the table values a, b, c, and d.
  5. e. Access the accompanying file and compute the values of accuracy, detection rate, false alarm rate, and precision. Interpret the results.
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Chapter 3 Solutions

Statistics For Business And Economics Plus Mystatlab With Pearson Etext -- Access Card Package (13th Edition)

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Hillsborough County...Ch. 3.1 - Odds of winning a race. Handicappers for greyhound...Ch. 3.1 - Lead bullets as forensic evidence. Chance (Summer...Ch. 3.1 - Making your vote count. Democratic and Republican...Ch. 3.4 - Suppose P (A) = A, P(B) = 7, and P (A B) = 3....Ch. 3.4 - A fair coin is tossed three times, and the events...Ch. 3.4 - A pair of fair dice is tossed. Define the...Ch. 3.4 - Consider the Venn diagram below, where P(E1) =...Ch. 3.4 - Consider the Venn diagram in the next column,...Ch. 3.4 - Prob. 3.35LMCh. 3.4 - Prob. 3.36LMCh. 3.4 - Use the applets Simulating the Probability of...Ch. 3.4 - Prob. 3.4AECh. 3.4 - Do social robots walk or roll? Refer to the...Ch. 3.4 - Firefighter glove sizing. Human Factors (December...Ch. 3.4 - Study of analysts' forecasts. The Journal of...Ch. 3.4 - Problems at major companies The Organization...Ch. 3.4 - Scanning errors at Walmart. 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