Reference (computer science)

This article is about the general concept in computing. For the more specific concept in C++, see Reference (C++).

In computer programming, a reference is a value that enables a program to indirectly access a particular datum, such as a variable's value or a record, in the computer's memory or in some other storage device. The reference is said to refer to the datum, and accessing the datum is called dereferencing the reference. A reference is distinct from the datum itself.

A reference is an abstract data type and may be implemented in many ways. Typically, a reference refers to data stored in memory on a given system, and its internal value is the memory address of the data, i.e. a reference is implemented as a pointer. For this reason a reference is often said to "point to" the data. Other implementations include an offset (difference) between the datum's address and some fixed "base" address, an index, or identifier used in a lookup operation into an array or table, an operating system handle, a physical address on a storage device, or a network address such as a URL.

Formal representation

A reference R is a value that admits one operation, dereference(R), which yields a value. Usually the reference is typed so that it returns values of a specific type, e.g.:

interface Reference<T> {
  T value();
}

Often the reference also admits an assignment operation store(R, x), meaning it is an abstract variable.

Use

References are widely used in programming, especially to efficiently pass large or mutable data as arguments to procedures, or to share such data among various uses. In particular, a reference may point to a variable or record that contains references to other data. This idea is the basis of indirect addressing and of many linked data structures, such as linked lists. References increase flexibility in where objects can be stored, how they are allocated, and how they are passed between areas of code. As long as one can access a reference to the data, one can access the data through it, and the data itself need not be moved. They also make sharing of data between different code areas easier; each keeps a reference to it.

References can cause significant complexity in a program, partially due to the possibility of dangling and wild references and partially because the topology of data with references is a directed graph, whose analysis can be quite complicated. Nonetheless, references are still simpler to analyze than pointers due to the absence of pointer arithmetic.

The mechanism of references, if varying in implementation, is a fundamental programming language feature common to nearly all modern programming languages. Even some languages that support no direct use of references have some internal or implicit use. For example, the call by reference calling convention can be implemented with either explicit or implicit use of references.

Examples

Pointers are the most primitive type of reference. Due to their intimate relationship with the underlying hardware, they are one of the most powerful and efficient types of references. However, also due to this relationship, pointers require a strong understanding by the programmer of the details of memory architecture. Because pointers store a memory location's address, instead of a value directly, inappropriate use of pointers can lead to undefined behavior in a program, particularly due to dangling pointers or wild pointers. Smart pointers are opaque data structures that act like pointers but can only be accessed through particular methods.

A handle is an abstract reference, and may be represented in various ways. A common example are file handles (the FILE data structure in the C standard I/O library), used to abstract file content. It usually represents both the file itself, as when requesting a lock on the file, and a specific position within the file's content, as when reading a file.

In distributed computing, the reference may contain more than an address or identifier; it may also include an embedded specification of the network protocols used to locate and access the referenced object, the way information is encoded or serialized. Thus, for example, a WSDL description of a remote web service can be viewed as a form of reference; it includes a complete specification of how to locate and bind to a particular web service. A reference to a live distributed object is another example: it is a complete specification for how to construct a small software component called a proxy that will subsequently engage in a peer-to-peer interaction, and through which the local machine may gain access to data that is replicated or exists only as a weakly consistent message stream. In all these cases, the reference includes the full set of instructions, or a recipe, for how to access the data; in this sense, it serves the same purpose as an identifier or address in memory.

If we have a set of keys K and a set of data objects D, any well-defined (single-valued) function from K to D ∪ {null} defines a type of reference, where null is the image of a key not referring to anything meaningful.

An alternative representation of such a function is a directed graph called a reachability graph. Here, each datum is represented by a vertex and there is an edge from u to v if the datum in u refers to the datum in v. The maximum out-degree is one. These graphs are valuable in garbage collection, where they can be used to separate accessible from inaccessible objects.

External and internal storage

In many data structures, large, complex objects are composed of smaller objects. These objects are typically stored in one of two ways:

1. With internal storage, the contents of the smaller object are stored inside the larger object.
2. With external storage, the smaller objects are allocated in their own location, and the larger object only stores references to them.

Internal storage is usually more efficient, because there is a space cost for the references and dynamic allocation metadata, and a time cost associated with dereferencing a reference and with allocating the memory for the smaller objects. Internal storage also enhances locality of reference by keeping different parts of the same large object close together in memory. However, there are a variety of situations in which external storage is preferred:

• If the data structure is recursive, meaning it may contain itself. This cannot be represented in the internal way.
• If the larger object is being stored in an area with limited space, such as the stack, then we can prevent running out of storage by storing large component objects in another memory region and referring to them using references.
• If the smaller objects may vary in size, it is often inconvenient or expensive to resize the larger object so that it can still contain them.
• References are often easier to work with and adapt better to new requirements.

Some languages, such as Java, Smalltalk, Python, and Scheme, do not support internal storage. In these languages, all objects are uniformly accessed through references.

Language support

Assembly

In assembly language, it is typical to express references using either raw memory addresses or indexes into tables. These work, but are somewhat tricky to use, because an address tells you nothing about the value it points to, not even how large it is or how to interpret it; such information is encoded in the program logic. The result is that misinterpretations can occur in incorrect programs, causing bewildering errors.

Lisp

One of the earliest opaque references was that of the Lisp language cons cell, which is simply a record containing two references to other Lisp objects, including possibly other cons cells. This simple structure is most commonly used to build singly linked lists, but can also be used to build simple binary trees and so-called "dotted lists", which terminate not with a null reference but a value.

C/C++

Further information: Reference (C++)

The pointer is still one of the most popular types of references today. It is similar to the assembly representation of a raw address, except that it carries a static datatype which can be used at compile-time to ensure that the data it refers to is not misinterpreted. However, because C has a weak type system which can be violated using casts (explicit conversions between various pointer types and between pointer types and integers), misinterpretation is still possible, if more difficult. Its successor C++ tried to increase type safety of pointers with new cast operators, a reference type &, and smart pointers in its standard library, but still retained the ability to circumvent these safety mechanisms for compatibility.

Fortran

Fortran does not have an explicit representation of references, but does use them implicitly in its call-by-reference calling semantics. A Fortran reference is best thought of as an alias of another object, such as a scalar variable or a row or column of an array. There is no syntax to dereference the reference or manipulate the contents of the referent directly. Fortran references can be null. As in other languages, these references facilitate the processing of dynamic structures, such as linked lists, queues, and trees.

Object-oriented languages

A number of object-oriented languages such as Eiffel, Java, C#, and Visual Basic have adopted a much more opaque type of reference, usually referred to as simply a reference. These references have types like C pointers indicating how to interpret the data they reference, but they are typesafe in that they cannot be interpreted as a raw address and unsafe conversions are not permitted. References are extensively used to access and assign objects. References are also used in function/method calls or message passing, and reference counts are frequently used to perform garbage collection of unused objects.

Functional languages

In Standard ML, OCaml, and many other functional languages, most values are persistent: they cannot be modified by assignment. Assignable "reference cells" provide mutable variables, data that can be modified. Such reference cells can hold any value, and so are given the polymorphic type α ref, where α is to be replaced with the type of value pointed to. These mutable references can be pointed to different objects over their lifetime. For example, this permits building of circular data structures. The reference cell is functionally equivalent to a mutable array of length 1.

To preserve safety and efficient implementations, references cannot be type-cast in ML, nor can pointer arithmetic be performed. In the functional paradigm, many structures that would be represented using pointers in a language like C are represented using other facilities, such as the powerful algebraic datatype mechanism. The programmer is then able to enjoy certain properties (such as the guarantee of immutability) while programming, even though the compiler often uses machine pointers "under the hood".

Perl/PHP

Perl supports hard references, which function similarly to those in other languages, and symbolic references, which are just string values that contain the names of variables. When a value that is not a hard reference is dereferenced, Perl considers it to be a symbolic reference and gives the variable with the name given by the value. PHP has a similar feature in the form of its $$var syntax.

Python

Python includes a wide range of references. Generally, programmers use id(var) to access the reference address of a variable var. Reference in Python is more complex than C++ or other programming languages.

A constant (for example, an integer 2) is an object in Python and therefore has a reference to a fixed address. When programmer calls an a = 2, the program creates a memory space for consonant 2 and arranges a reference to it. Then the program links the reference of a to the address of 2, which reveals that changing the value of a numerical variable changes the reference of it. Whereas in mutable types (for example, a list type), value changing won't change the variable's reference.

When a variable is passed as a function parameter, the function gets the reference to it by default, not its value. For mutable types, this causes the original variable easy to be modified; for immutable type, modifying its value in the function will cause the temporary variable reference in the function to be modified to otherwhere, hence will not cause the original variable to be changed.

See also

• Abstraction (computer science)
• Autovivification
• Bounded pointer
• Linked data
• Magic cookie
• Weak reference

External links

• Pointer Fun With Binky Introduction to pointers in a 3-minute educational video – Stanford Computer Science Education Library