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Dry Runs and Trace Tables

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1 Dry Runs and Trace Tables

2 Dry Runs An important part of the algorithm design process is that of testing the final design. To do this we carry out a dry run of the algorithm. When dry running an algorithm we select some appropriate test data and complete a full execution of the algorithm until termination is achieved ( or not, if the algorithm is incorrectly specified ).

3 Trace Table When executing a dry run of an algorithm we record the state of the algorithm after each instruction. Generally, we define the state of an algorithm as: the contents of any variables that have been declared during the execution of the algorithm.

4 Trace Table To record the state of an algorithm we use a trace table.
When tracing a non-recursive algorithm our trace tables take the following form: The column headings of a trace table record the names of all the variables used in the algorithm. The rows record the state of the variables after every instruction execution.

5 Example Dry Run the iterative algorithm that computes the triangular value of a positive number. Use the value 5 as test data. {Print triangular value of input number} PRINT “Enter a number “ READ number triangular_value  0 FOR ( value FROM 1 TO number ) triangular_value  triangular_value + value ENDFOR PRINT triangular_value

6 number triangular_value value PRINT - READ 5 FOR 1 2 3 6 4 10 15

7 Example Dry Run the recursive algorithm that computes the triangular value of a positive number. Use the value 5 as test data. Module Name: tri Inputs: n Outputs: triangular value of n Process: IF ( n = 1 ) THEN /* Base Case */ RETURN 1 ELSE /* Recursive solution */ RETURN n + tri(n-1) ENDIF

8 n=5 5=1 ? FALSE RETURN 5+tri(4) n=4 4=1 ? FALSE RETURN 4+tri(3) n=3 3=1 ? FALSE RETURN 3+tri(2) n=2 2=1 ? FALSE RETURN 2+tri(1) n=1 1=1 ? TRUE RETURN 1


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