In computing, a compiler is software that translates computer code written in one programming language (the source language) into another language (the target language). The name "compiler" is primarily used for programs that translate source code from a high-level programming language to a low-level programming language (e.g., assembly language, object code, or machine code) to create an executable program.

There are many different types of compilers which produce output in different useful forms. A cross-compiler produces code for a different central processing unit (CPU) or operating system than the one on which the cross-compiler itself runs. A bootstrap compiler is often a temporary compiler, used for compiling a more permanent or better optimized compiler for a language.

Related software include decompilers, programs that translate from low-level languages to higher-level ones; programs that translate between high-level languages, usually called source-to-source compilers or transpilers; language rewriters, usually programs that translate the form of expressions without a change of language; and compiler-compilers, compilers that produce compilers (or parts of them), often in a generic and reusable way so as to be able to produce many differing compilers.

A compiler is likely to perform some or all of the following operations, often called phases: preprocessing, lexical analysis, parsing, semantic analysis (syntax-directed translation), conversion of input programs to an intermediate representation, code optimization and machine specific code generation. Compilers generally implement these phases as modular components, promoting efficient design and correctness of transformations of source input to target output. Program faults caused by incorrect compiler behavior can be very difficult to track down and work around; therefore, compiler implementers invest significant effort to ensure compiler correctness.

Comparison with interpreter

With respect to making source code runnable, an interpreter provides a similar function as a compiler, but via a different mechanism. An interpreter executes code without converting it to machine code. Therefore, some interpreters execute source code while others execute an intermediate form such as bytecode.

A program compiled to native code tends to run faster than when interpreted, while environments with a bytecode-intermediate-form tends toward intermediate-speed. Alternatively, just-in-time compilation allows for native execution speed with a one-time startup processing time cost.

Low-level programming languages, such as assembly and C, are typically compiled, especially when speed is a significant concern, rather than having cross-platform support. For such languages, there are more one-to-one correspondences between the source code and the resulting machine code, making it easier for programmers to control the use of hardware.

In theory, any programming language can be used via either a compiler or an interpreter, but in practice, languages tend to be used with only one or the other. Nonetheless, it is possible to write a compiler for a language that is commonly interpreted. For example, Common Lisp can be compiled to Java bytecode (and then interpreted by the Java virtual machine), to C code (which can then be compiled again to native machine code), or directly to native code.

History

Theoretical computing concepts developed by scientists, mathematicians, and engineers formed the basis of digital modern computing development during World War II. Primitive binary languages evolved because digital devices only understand ones and zeros and the circuit patterns in the underlying machine architecture. In the late 1940s, assembly languages were created to offer a more workable abstraction of the computer architectures. Limited memory capacity of early computers led to substantial technical challenges when the first compilers were designed. Therefore, the compiling process needed to be divided into several small programs. The front end programs produce the analysis products used by the back end programs to generate target code. As computer technology provided more resources, compiler designs could align better with the compiling process.

It is usually more productive for a programmer to use a high-level language, so the development of high-level languages followed naturally from the abilities offered by digital computers. High-level languages are formal languages that are strictly defined by their syntax and semantics which form the high-level language architecture. Elements of these formal languages include: Alphabet, any finite set of symbols String, a finite sequence of symbols Language, any set of strings on an alphabet

The sentences in a language may be defined by a set of rules called a grammar.Lecture notes. Compilers: Principles, Techniques, and Tools. Jing-Shin Chang. Department of Computer Science & Information Engineering. National Chi-Nan University

Backus–Naur form (BNF) describes the syntax of "sentences" of a language. It was developed by John Backus and used for the syntax of Algol 60.Naur, P. et al. "Report on ALGOL 60". Communications of the ACM 3 (May 1960), 299–314. The ideas derive from the context-free grammar concepts by linguist Noam Chomsky. "BNF and its extensions have become standard tools for describing the syntax of programming notations. In many cases, parts of compilers are generated automatically from a BNF description."

Between 1942 and 1945, Konrad Zuse designed the first (algorithmic) programming language for computers named ("Plan Calculus"). Zuse also envisioned a ("Plan assembly device") to automatically translate the mathematical formulation of a program into machine-readable punched film stock. While no implementation occurred until the 1970s, it presented concepts later seen in APL designed by Ken Iverson in the late 1950s. APL is a language for mathematical computations.

Between 1949 and 1951, Heinz Rutishauser proposed Superplan, a high-level language and automatic translator. His ideas were later refined by Friedrich L. Bauer and Klaus Samelson.

High-level language design during the formative years of digital computing provided useful programming tools for a variety of applications: FORTRAN (Formula Translation) for engineering and science applications is considered to be one of the first implemented high-level languages and first optimizing compiler. COBOL (Common Business-Oriented Language) evolved from A-0 and FLOW-MATIC to become the dominant high-level language for business applications.Porter Adams, Vicki (5 October 1981). "Captain Grace M. Hopper: the Mother of COBOL". InfoWorld. 3 (20): 33. ISSN 0199-6649. LISP (List Processor) for symbolic computation.McCarthy, J.; Brayton, R.; Edwards, D.; Fox, P.; Hodes, L.; Luckham, D.; Maling, K.; Park, D.; Russell, S. (March 1960). "LISP I Programmers Manual" (PDF). Boston, Massachusetts: Artificial Intelligence Group, M.I.T. Computation Center and Research Laboratory.

Compiler technology evolved from the need for a strictly defined transformation of the high-level source program into a low-level target program for the digital computer. The compiler could be viewed as a front end to deal with the analysis of the source code and a back end to synthesize the analysis into the target code. Optimization between the front end and back end could produce more efficient target code.Compilers Principles, Techniques, & Tools 2nd edition by Aho, Lam, Sethi, Ullman

Some early milestones in the development of compiler technology: May 1952: Grace Hopper's team at Remington Rand wrote the compiler for the A-0 programming language (and coined the term compiler to describe it), although the A-0 compiler functioned more as a loader or linker than the modern notion of a full compiler. 1952, before September: An Autocode compiler developed by Alick Glennie for the Manchester Mark I computer at the University of Manchester is considered by some to be the first compiled programming language.Knuth, Donald E.; Pardo, Luis Trabb, "Early development of programming languages", Encyclopedia of Computer Science and Technology (Marcel Dekker) 7: 419–493 1954–1957: A team led by John Backus at IBM developed FORTRAN which is usually considered the first high-level language. In 1957, they completed a FORTRAN compiler that is generally credited as having introduced the first unambiguously complete compiler. 1959: The Conference on Data Systems Language (CODASYL) initiated development of COBOL. The COBOL design drew on A-0 and FLOW-MATIC. By the early 1960s COBOL was compiled on multiple architectures. 1958–1960: ALGOL 58 was the precursor to ALGOL 60. It introduced code blocks, a key advance in the rise of structured programming. ALGOL 60 was the first language to implement nested function definitions with lexical scope. It included recursion. Its syntax was defined using BNF. ALGOL 60 inspired many languages that followed it. Tony Hoare remarked: "... it was not only an improvement on its predecessors but also on nearly all its successors." (This statement is sometimes erroneously attributed to Edsger W. Dijkstra, also involved in implementing the first ALGOL 60 compiler.) 1958–1962: John McCarthy at MIT designed LISP."Recursive Functions of Symbolic Expressions and Their Computation by Machine", Communications of the ACM, April 1960 The symbol processing abilities provided useful features for artificial intelligence research. In 1962, LISP 1.5 release noted some tools: an interpreter written by Stephen Russell and Daniel J. Edwards, a compiler and assembler written by Tim Hart and Mike Levin.

Early operating systems and software were written in assembly language. In the 1960s and early 1970s, the use of high-level languages for system programming was still controversial due to resource limitations. However, several research and industry efforts began the shift toward high-level systems programming languages, for example, BCPL, BLISS, B, and C.

BCPL (Basic Combined Programming Language) designed in 1966 by Martin Richards at the University of Cambridge was originally developed as a compiler writing tool."BCPL: A tool for compiler writing and system programming" M. Richards, University Mathematical Laboratory Cambridge, England 1969 Several compilers have been implemented, Richards' book provides insights to the language and its compiler.BCPL: The Language and Its Compiler, M Richards, Cambridge University Press (first published 31 December 1981) BCPL was not only an influential systems programming language that is still used in researchThe BCPL Cintsys and Cintpos User Guide, M. Richards, 2017 but also provided a basis for the design of B and C languages.

BLISS (Basic Language for Implementation of System Software) was developed for a Digital Equipment Corporation (DEC) PDP-10 computer by W. A. Wulf's Carnegie Mellon University (CMU) research team. The CMU team went on to develop BLISS-11 compiler one year later in 1970.