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The next step is to develop a decision table. The decision table reflects the rules and the graph and shows the effects for all possible

The next step is to develop a decision table.
The decision table reflects the rules and the graph and shows the effects for all possible combinations of causes.
Columns list each combination of causes, and each column represents a test case.
A decision table will have a row for each cause and each effect.
A decision table for our simple example where
C1, C2 represent the causes,
E1, E2, E3 the effects,
columns T1, T2, T3 the test cases.
Entries in the table can be represented by
a 1 for a cause or effect that is
present,
a 0 represents the absence of a cause
or effect,
a indicates a dont care value
The input conditions or causes are:
C1: Positive integer from 1 to 80
C2: Character to search for in the string
The output conditions or effects are:
E1: Integer out of range
E2: Position of character in the string
E3: Character not found
The rules or relationships can be
described as follows:
If C1 and C2, then E2.
If C1 and not C2, then E3.
If not C1, then E1.

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