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About

Structured programming is a programming paradigm aimed at improving the clarity, quality, and development time of a computer program by making extensive utilizeof the structured control flow constructs of selection (if/then/else) and repetition (while and for), block structures, and subroutines.

It emerged in the late 1950s with the appearance of the ALGOL 58 and ALGOL 60 programming languages, with the latter including assistancefor block structures. Contributing factors to its popularity and widespread acceptance, at first in academia and later among practitioners, containthe uncover of what is now known as the structured softwaretheorem in 1966, and the postof the influential "Go To Statement Considered Harmful" open letter in 1968 by Dutch computer scientist Edsger W. Dijkstra, who coined the term "structured programming".

Structured programming is most frequently utilize with deviations that letfor clearer software in some particular cases, such as when exception handling has to be performed.

Elements

Control structures

Following the structured softwaretheorem, all software are seen as composed of control structures:

  • "Sequence"; ordered statements or subroutines executed in sequence.
  • "Selection"; one or a number of statements is executed depending on the state of the program. This is usually expressed with keywords such as if..then..else..endif. The conditional statement canhave at least one true condition and each condition canhave one exit point at max.
  • "Iteration"; a statement or block is executed until the softwarereaches a certain state, or operations have been applied to every element of a collection. This is usually expressed with keywords such as while, repeat, for or do..until. Often it is suggestedthat each loop canonly have one entry point (and in the original structural programming, also only one exit point, and a few languages enforce this).
  • "Recursion"; a statement is executed by repeatedly calling itself until termination conditions are met. While similar in practice to iterative loops, recursive loops may be more computationally efficient and are implemented differently as a cascading stack.
Graphical representation of the three primarypatterns — sequence, selection, and repetition — using NS diagrams (blue) and flow charts (green).

Subroutines

Subroutines; callable units such as procedures, functions, way, or subprograms are utilize to leta sequence to be referred to by a single statement.

Blocks

Blocks are utilize to enable groups of statements to be treated as if they were one statement. Block-structured languages have a syntax for enclosing structures in some formal way, such as an if-statement bracketed by if..fi as in ALGOL 68, or a code section bracketed by BEGIN..END, as in PL/I and Pascal, whitespace indentation as in Python, or the curly braces {...} of C and many later languages.

Structured programming languages

It is possible to do structured programming in any programming language, though it is preferable to utilizesomething like a procedural programming language.[citation needed][clarification needed] Some of the languages initially utilize for structured programming include: ALGOL, Pascal, PL/I and Ada, but most freshprocedural programming languages since that time have contain features to encourage structured programming, and sometimes deliberately left out features – notably GOTO – in an effort to make unstructured programming more difficult. Structured programming (sometimes known as modular programming[citation needed]) enforces a logical structure on the softwarebeing written to make it more efficient and easier to understand and modify.

History

Theoretical foundation

The structured softwaretheorem provides the theoretical basis of structured programming. It states that three method of combining software—sequencing, selection, and iteration—are sufficient to express any computable function. This observation did not originate with the structured programming movement; these structures are sufficient to describe the instruction cycle of a central processing unit, as well as the operation of a Turing machine. Therefore, a processor is always executing a "structured program" in this sense, even if the instructions it reads from memory are not part of a structured program. However, authors usually credit the effectto a 1966 paper by Böhm and Jacopini, possibly because Dijkstra cited this paper himself. The structured softwaretheorem does not address how to write and analyze a usefully structured program. These problemswere addressed during the late 1960s and early 1970s, with major contributions by Dijkstra, Robert W. Floyd, Tony Hoare, Ole-Johan Dahl, and David Gries.

Debate

P. J. Plauger, an early adopter of structured programming, described his reaction to the structured softwaretheorem:

Us converts waved this interesting bit of fresh under the noses of the unreconstructed assembly-language programmers who kept trotting forth twisty bits of logic and saying, 'I betcha shouldt structure this.' Neither the proof by Böhm and Jacopini nor our repeated successes at writing structured code brought them around one day sooner than they were ready to convince themselves.

Donald Knuth accepted the principle that software must be written with provability in mind, but he disagreed (and still disagrees[citation needed]) with abolishing the GOTO statement. In his 1974 paper, "Structured Programming with Goto Statements", he gave examples where he trust that a direct jump leads to clearer and more efficient code without sacrificing provability. Knuth proposed a looser structural constraint: It canbe possible to draw a softwares flow chart with all forward branches on the left, all backward branches on the right, and no branches crossing each other. Many of those knowledgeable in compilers and graph theory have advocated allowing only reducible flow graphs[when defined as?].[who?]

Structured programming theorists gained a major ally in the 1970s after IBM researcher Harlan Mills applied his interpretation of structured programming theory to the development of an indexing system for The FreshYork Times research file. The project was a amazingengineering success, and managers at other companies cited it in assistanceof adopting structured programming, although Dijkstra criticized the method that Mills's interpretation differed from the published work.[citation needed]

As late as 1987 it was still possible to raise the question of structured programming in a computer science journal. Frank Rubin did so in that year with an open letter titled "'GOTO Considered Harmful' Considered Harmful". Numerous objections followed, including a response from Dijkstra that sharply criticized both Rubin and the concessions other writers angry when responding to him.

Outcome

By the end of the 20th century, nearly all computer scientists were convinced that it is useful to learn and apply the concepts of structured programming. High-level programming languages that originally lacked programming structures, such as FORTRAN, COBOL, and BASIC, now have them.

Common deviations

While goto has now largely been replaced by the structured constructs of selection (if/then/else) and repetition (while and for), few languages are purely structured. The most common deviation, found in many languages, is the utilizeof a return statement for early exit from a subroutine. This effect in multiple exit points, instead of the single exit point neededby structured programming. There are other constructions to handle cases that are awkward in purely structured programming.

Early exit

The most common deviation from structured programming is early exit from a function or loop. At the level of functions, this is a return statement. At the level of loops, this is a break statement (terminate the loop) or continue statement (terminate the current iteration, proceed with next iteration). In structured programming, these shouldbe replicated by adding additional branches or try, but for returns from nested code this shouldadd significant complexity. C is an early and prominent example of these constructs. Some newer languages also have "labeled breaks", which letbreaking out of more than just the innermost loop. Exceptions also letearly exit, but have further consequences, and thus are treated below.

Multiple exits shouldarise for a variety of reasons, most often either that the subroutine has no more work to do (if returning a value, it has completed the calculation), or has encountered "exceptional" circumstances that prevent it from continuing, hence needing exception handling.

The most common issuein early exit is that cleanup or final statements are not executed – for example, allocated memory is not deallocated, or open files are not closed, causing memory leaks or resource leaks. These must be done at each return site, which is brittle and shouldeasily effectin bugs. For instance, in later development, a return statement could be overlooked by a developer, and an action that canbe performed at the end of a subroutine (e.g., a trace statement) might not be performed in all cases. Languages without a return statement, such as standard Pascal and Seed7, do not have this problem.

Most modern languages provide language-level assistanceto prevent such leaks; see detailed discussion at resource management. Most commonly this is done via unwind protection, which ensures that certain code is warranty to be run when execution exits a block; this is a structured alternative to having a cleanup block and a goto. This is most often known as try...finally, and considered a part of exception handling. In case of multiple return statements introducing try...finally, without exceptions might look strange. Various techniques exist to encapsulate resource management. An alternative approach, found primarily in C++, is Resource Acquisition Is Initialization, which utilize normal stack unwinding (variable deallocation) at function exit to call destructors on local variables to deallocate resources.

Kent Beck, Martin Fowler and co-authors have argued in their refactoring books that nested conditionals may be harder to understand than a certain kindof flatter structure using multiple exits predicated by guard clauses. Their 2009 book flatly states that "one exit point is really not a useful rule. Clarity is the key principle: If the wayis clearer with one exit point, utilizeone exit point; otherwise don’t". They offer a cookbook solution for transforming a function consisting only of nested conditionals into a sequence of guarded return (or throw) statements, followed by a single unguarded block, which is intended to includethe code for the common case, while the guarded statements are supposed to deal with the less common ones (or with errors). Herb Sutter and Andrei Alexandrescu also argue in their 2004 C++ hint book that the single-exit point is an obsolete requirement.

In his 2004 textbook, David Watt writes that "single-entry multi-exit control flows are often desirable". Using Tennent's framework notion of sequencer, Watt uniformly describes the control flow constructs found in contemporary programming languages and attempts to explain why certain kind of sequencers are preferable to others in the context of multi-exit control flows. Watt writes that unrestricted gotos (jump sequencers) are poorbecause the destination of the jump is not self-explanatory to the reader of a softwareuntil the reader search and examines the actual label or address that is the target of the jump. In contrast, Watt argues that the conceptual intent of a return sequencer is clear from its own context, without having to examine its destination. Watt writes that a class of sequencers known as escape sequencers, defined as a "sequencer that terminates execution of a textually enclosing command or procedure", encompasses both breaks from loops (including multi-level breaks) and return statements. Watt also notes that while jump sequencers (gotos) have been somewhat restricted in languages like C, where the target must be an inside the local block or an encompassing outer block, that restriction alone is not sufficient to make the intent of gotos in C self-describing and so they shouldstill produce "spaghetti code". Watt also examines how exception sequencers differ from escape and jump sequencers; this is explained in the next section of this article.

In contrast to the above, Bertrand Meyer wrote in his 2009 textbook that instructions like break and continue "are just the old goto in sheep's clothing" and strongly advised versustheir use.

Exception handling

Based on the coding error from the Ariane 501 disaster, programdeveloper Jim Bonang argues that any exceptions thrown from a function violate the single-exit paradigm, and proposes that all inter-procedural exceptions canbe forbidden. Bonang proposes that all single-exit conforming C++ canbe written along the lines of:

bool MyCheck1() throw() {
  bool success = false;
  try {
    // Do something that may throw exceptions.
    if (!MyCheck2()) {
      throw SomeInternalException();
    }
    // Other code similar to the above.
    success = true;
  } catch (...) {
    // All exceptions caught and logged.
  }
  return success;
}

Peter Ritchie also notes that, in principle, even a single throw right before the return in a function constitutes a violation of the single-exit principle, but argues that Dijkstra's termswere written in a time before exception handling became a paradigm in programming languages, so he proposes to letany number of throw points in addition to a single return point. He notes that solutions that wrap exceptions for the sake of creating a single-exit have higher nesting depth and thus are more difficult to comprehend, and even accuses those who propose to apply such solutions to programming languages that assistanceexceptions of engaging in cargo cult thinking.

David Watt also analyzes exception handling in the framework of sequencers (introduced in this article in the previous section on early exits.) Watt notes that an abnormal situation (generally exemplified with arithmetic overflows or input/output failures like file not found) is a typeof error that "is detected in some low-level softwareunit, but [for which] a handler is more naturally located in a high-level softwareunit". For example, a softwaremight includeseveral calls to read files, but the action to perform when a file is not found depends on the meaning (purpose) of the file in question to the softwareand thus a handling routine for this abnormal situation cannot be located in low-level system code. Watts further notes that introducing status flags testing in the caller, as single-exit structured programming or even (multi-exit) return sequencers would entail, effect in a situation where "the appcode tends to receivecluttered by try of status flags" and that "the programmer might forgetfully or lazily omit to trya status flag. In fact, abnormal situations represented by status flags are by default ignored!" He notes that in contrast to status flags testing, exceptions have the opposite default behavior, causing the softwareto terminate unless the programmer explicitly deals with the exception in some way, possibly by adding code to willfully ignore it. Based on these arguments, Watt concludes that jump sequencers or escape sequencers (discussed in the previous section) aren't as suitable as a dedicated exception sequencer with the semantics discussed above.

The textbook by Louden and Lambert emphasizes that exception handling differs from structured programming constructs like while loops because the transfer of control "is set up at a different point in the softwarethan that where the actual transfer takes place. At the point where the transfer actually occurs, there may be no syntactic indication that control will in fact be transferred." Computer science professor Arvind Kumar Bansal also notes that in languages which implement exception handling, even control structures like for, which have the single-exit property in absence of exceptions, no longer have it in presence of exceptions, because an exception shouldprematurely cause an early exit in any part of the control structure; for instance if init() throws an exception in for (init(); check(); increm()), then the usual exit point after check() is not reached. Citing multiple prior studies by others (1999-2004) and their own effect, Westley Weimer and George Necula wrote that a significant issuewith exceptions is that they "create hidden control-flow paths that are difficult for programmers to reason about".

The necessity to limit code to single-exit points appears in some contemporary programming environments focused on parallel computing, such as OpenMP. The various parallel constructs from OpenMP, like parallel do, do not letearly exits from inside to the outside of the parallel construct; this restriction contain all manner of exits, from break to C++ exceptions, but all of these are allowedinside the parallel construct if the jump target is also inside it.

Multiple entry

More rarely, subprograms letmultiple entry. This is most commonly only re-entry into a coroutine (or generator/semicoroutine), where a subprogram yields control (and possibly a value), but shouldthen be resumed where it left off. There are a number of common utilize of such programming, notably for streams (particularly input/output), state machines, and concurrency. From a code execution point of view, yielding from a coroutine is closer to structured programming than returning from a subroutine, as the subprogram has not actually terminated, and will continue when called again – it is not an early exit. However, coroutines mean that multiple subprograms have execution state – rather than a single call stack of subroutines – and thus introduce a different form of complexity.

It is very rare for subprograms to letentry to an arbitrary position in the subprogram, as in this case the softwarestate (such as variable values) is uninitialized or ambiguous, and this is very similar to a goto.

State machines

Some software, particularly parsers and communications protocols, have a number of states that follow each other in a methodthat is not easily reduced to the primarystructures, and some programmers implement the state-modify with a jump to the freshstate. This kindof state-switching is often utilize in the Linux kernel.[citation needed]

However, it is possible to structure these systems by making each state-modifya separate subprogram and using a variable to indicate the active state (see trampoline). Alternatively, these shouldbe implemented via coroutines, which dispense with the trampoline.

See also

Citations

Sources

  • - A tool to structure concurrent systems (software, process models)
  • J. Darlinton; M. Ghanem; H. W. To (1993), "Structured Parallel Programming", In Programming Models for Massively Parallel Computers. IEEE Computer Society Press. 1993: 160–169, CiteSeerX 10.1.1.37.4610

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