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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.
Example of a JSP diagram. Jackson structured programming (JSP) is a method for structured programming developed by British software consultant Michael A. Jackson and described in his 1975 book Principles of Program Design. [1]
This category lists those programming languages that support the structured programming paradigm. Subcategories This category has the following 3 subcategories, out of 3 total.
λProlog (a logic programming language featuring polymorphic typing, modular programming, and higher-order programming) Oz, and Mozart Programming System cross-platform Oz; Prolog (formulates data and the program evaluation mechanism as a special form of mathematical logic called Horn logic and a general proving mechanism called logical resolution)
A programming paradigm is a relatively high-level way to conceptualize and structure the implementation of a computer program. A programming language can be classified as supporting one or more paradigms. [1] Paradigms are separated along and described by different dimensions of programming.
Example of a Nassi–Shneiderman diagram. A Nassi–Shneiderman diagram (NSD) in computer programming is a graphical design representation for structured programming. [1] This type of diagram was developed in 1972 by Isaac Nassi and Ben Shneiderman who were both graduate students at Stony Brook University. [2]
Example of a Structured Chart. [1] A structure chart (SC) in software engineering and organizational theory is a chart which shows the smallest of a system to its lowest manageable levels. [2] They are used in structured programming to arrange program modules into a tree. Each module is represented by a box, which contains the module's name.
Callable units are present at multiple levels of abstraction in the programming environment. For example, a programmer may write a function in source code that is compiled to machine code that implements similar semantics. There is a callable unit in the source code and an associated one in the machine code, but they are different kinds of ...