In Data Flow Analysis, the point of highest abstraction of input is the point at which the data:
A. loses the quality of being input
B. loses the quality of being output
C. is initially accepted as input
D. is finally accepted as input
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In Data Flow Analysis, the point of highest abstraction of output is the point at which the data:
A. loses the quality of being input
B. loses the quality of being output
C. is initially accepted as input
D. can be accepted as output
In Data Flow Analysis, using the points of highest abstraction of input and output, the product is decomposed into three modules, the INPUT module, the ( ) module and the OUTPUT module.
A. TRANSPORT
B. DATA FLOW
C. ACTION
D. TRANSFORM
The underpining technique in Data Flow Analysis is:
A. generalization
B. specialization
C. polymorphism
D. stepwise refinement
Data Flow Analysis is a way of achieving:
A. high cohesion
B. low cohesion
C. high coupling
D. low coupling