Data Abstraction








We can make an abstraction that would separate the way the procedure would be used from the details of how the procedure would be implemented in terms of more primitive procedures. The analogous notion for compound data is called data abstraction. Data abstraction is a methodology that enables us to isolate how a compound data object is used from the details of how it is constructed from more primitive data objects.

The basic idea of data abstraction is to structure the programs that are to use compound data objects so that they operate on "abstract data ." That is, our programs should use data in such a way as to make no assumptions about the data that are not strictly necessary for performing the task at hand. At the same time, a "concrete" data representation is defined independent of the programs that use the data.

Levels of abstraction :

Each step in software process is a refinement in the level of abstraction of the software solution .

Higher Level

More and more details are ignored with higher levels of abstraction as it is a relative concept .

Lower Level

While a more general look of a concept is given with lower levels of abstraction with introducing more details .

Highest Level

A solution is stated in broad terms using the language of the problem environment .

Lowest Level

The solution is stated in a manner that can be directly implemented. Source code generated at this level .
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