Value 15 points 3.(1) Suppose that an application has n inputs (variables) and each variable partitions...
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Value 15 points 3.(1) Suppose that an application has n inputs (variables) and each variable partitions its input space in m equivalence classes. Determine the number of equivalence classes. How many tests do you require? Could you make the number of tests lower? Do detailed calculations for n=20 and m=10 (ii) Some procedure P has three ..puts Sensor 1 Sensor 2 This procedure is invoked under the following valid ranges of input readings: Sensor 1: (10, 25) or [29, 50]. The sensor generates positive readings with values in [0, rangel], rangel>50. Sensor 2: [-1,1] or [4, 5]. The sensor generates both positive and negative readings from some range [-range2, range2], range2 >5. Control variable s: 1, 2, 3, 4). The control variable assumes positive integer values {1, 2,... Smax}, Smax>4. Identify equivalence classes in this problem. Consider weak normal equivalence testing and strong normal equivalence testing. List the test cases for weak normal equivalence Value 15 points 3.(1) Suppose that an application has n inputs (variables) and each variable partitions its input space in m equivalence classes. Determine the number of equivalence classes. How many tests do you require? Could you make the number of tests lower? Do detailed calculations for n=20 and m=10 (ii) Some procedure P has three ..puts Sensor 1 Sensor 2 This procedure is invoked under the following valid ranges of input readings: Sensor 1: (10, 25) or [29, 50]. The sensor generates positive readings with values in [0, rangel], rangel>50. Sensor 2: [-1,1] or [4, 5]. The sensor generates both positive and negative readings from some range [-range2, range2], range2 >5. Control variable s: 1, 2, 3, 4). The control variable assumes positive integer values {1, 2,... Smax}, Smax>4. Identify equivalence classes in this problem. Consider weak normal equivalence testing and strong normal equivalence testing. List the test cases for weak normal equivalence
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Related Book For
Introduction to Algorithms
ISBN: 978-0262033848
3rd edition
Authors: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest
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