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It is useful in developing programs that communicate with each other over a network or for storing data. The method involves an interface description language that describes the structure of some data and a program that generates source code from that description for generating or parsing a stream of bytes that represents the structured data.
Structured programming is a programming paradigm aimed at improving the clarity, quality, and development time of a computer program by making specific disciplined use of the structured control flow constructs of selection (if/then/else) and repetition (while and for), block structures, and subroutines.
Nassi–Shneiderman diagrams are only rarely used for formal programming. Their abstraction level is close to structured program code and modifications require the whole diagram to be redrawn, but graphic editors removed that limitation. They clarify algorithms and high-level designs, which make them useful in teaching.
Structured programming—various block structures, named subroutines with local variables and return values; Code modules/libraries with separate namespaces (On the other hand, composite data structures are missing) Option to use a graphical user interface based on the GTK library; Self-modifying code
Jackson's aim was to make COBOL batch file processing programs easier to modify and maintain, but the method can be used to design programs for any programming language that has structured control constructs— sequence, iteration, and selection ("if/then/else").
Reflective programming – metaprogramming methods in which a program modifies or extends itself; Pipeline programming – a simple syntax change to add syntax to nest function calls to language originally designed with none; Rule-based programming – a network of rules of thumb that comprise a knowledge base and can be used for expert systems ...
The structured program theorem, also called the Böhm–Jacopini theorem, [1] [2] is a result in programming language theory. It states that a class of control-flow graphs (historically called flowcharts in this context) can compute any computable function if it combines subprograms in only three specific ways ( control structures ).
D is not source-compatible with C and C++ source code in general. However, any code that is legal in both C and D should behave in the same way. Like C++, D has closures, anonymous functions, compile-time function execution, ranges, built-in container iteration concepts, and type inference.