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The lowercase Greek letter λ (lambda) is an unofficial symbol of the field of programming-language theory.[citation needed] This usage derives from the lambda calculus, a model of computation introduced by Alonzo Church in the 1930s and widely used by programming-language researchers. It graces the cover[1] of the classic text Structure and Interpretation of Computer Programs, and the title of the so-called Lambda Papers of 1975 to 1980, written by Gerald Jay Sussman and Guy Steele, the developers of the Scheme programming language.[jargon]

Programming language theory (PLT) is a branch of computer science that deals with the design, implementation, analysis, characterization, and classification of formal languages known as programming languages. Programming language theory is closely related to other fields including mathematics, software engineering, and linguistics. There are a number of academic conferences and journals in the area.

History

See also: History of programming languages and Programming language § History

In some ways, the history of programming language theory predates even the development of programming languages themselves. The lambda calculus, developed by Alonzo Church and Stephen Cole Kleene in the 1930s, is considered by some to be the world's first programming language, even though it was intended to model computation rather than being a means for programmers to describe algorithms to a computer system. Many modern functional programming languages have been described as providing a "thin veneer" over the lambda calculus,[2] and many are easily described in terms of it.

The first programming language to be invented was Plankalkül, which was designed by Konrad Zuse in the 1940s, but not publicly known until 1972 (and not implemented until 1998). The first widely known and successful high-level programming language was Fortran, developed from 1954 to 1957 by a team of IBM researchers led by John Backus. The success of FORTRAN led to the formation of a committee of scientists to develop a "universal" computer language; the result of their effort was ALGOL 58. Separately, John McCarthy of MIT developed Lisp, the first language with origins in academia to be successful. With the success of these initial efforts, programming languages became an active topic of research in the 1960s and beyond.

Timeline

See also: Timeline of programming languages

Some other key events in the history of programming language theory since then:

1950s
1960s
1970s
1980s
1990s

Sub-disciplines and related fields

There are several fields of study that either lie within programming language theory, or which have a profound influence on it; many of these have considerable overlap. In addition, PLT makes use of many other branches of mathematics, including computability theory, category theory, and set theory.

Formal semantics

Main article: Formal semantics of programming languages

Formal semantics is the formal specification of the behaviour of computer programs and programming languages. Three common approaches to describe the semantics or "meaning" of a computer program are denotational semantics, operational semantics and axiomatic semantics.

Type theory

Main article: Type theory

Type theory is the study of type systems; which are "a tractable syntactic method for proving the absence of certain program behaviors by classifying phrases according to the kinds of values they compute".[4] Many programming languages are distinguished by the characteristics of their type systems.

Program analysis and transformation

Main articles: Program analysis and Program transformation

Program analysis is the general problem of examining a program and determining key characteristics (such as the absence of classes of program errors). Program transformation is the process of transforming a program in one form (language) to another form.

Comparative programming language analysis

Comparative programming language analysis seeks to classify programming languages into different types based on their characteristics; broad categories of programming languages are often known as programming paradigms.

Generic and metaprogramming

Metaprogramming is the generation of higher-order programs which, when executed, produce programs (possibly in a different language, or in a subset of the original language) as a result.

Domain-specific languages

Domain-specific languages are languages constructed to efficiently solve problems of a particular part of domain.

Compiler construction

Main article: Compiler construction

Compiler theory is the theory of writing compilers (or more generally, translators); programs that translate a program written in one language into another form. The actions of a compiler are traditionally broken up into syntax analysis (scanning and parsing), semantic analysis (determining what a program should do), optimization (improving the performance of a program as indicated by some metric; typically execution speed) and code generation (generation and output of an equivalent program in some target language; often the instruction set of a CPU).

Run-time systems

Run-time systems refer to the development of programming language runtime environments and their components, including virtual machines, garbage collection, and foreign function interfaces.

Journals, publications, and conferences

Conferences are the primary venue for presenting research in programming languages. The most well known conferences include the Symposium on Principles of Programming Languages (POPL), Programming Language Design and Implementation (PLDI), the International Conference on Functional Programming (ICFP), the International Conference on Object Oriented Programming, Systems, Languages and Applications (OOPSLA) and the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).

Notable journals that publish PLT research include the ACM Transactions on Programming Languages and Systems (TOPLAS), Journal of Functional Programming (JFP), Journal of Functional and Logic Programming, and Higher-Order and Symbolic Computation.

See also

References

  1. ^ Abelson, Harold (1996). Structure and Interpretation of Computer Programs. Gerald Jay Sussman, Julie Sussman (2nd ed.). Cambridge, Mass.: MIT Press. ISBN 0-262-01153-0. OCLC 34576857.
  2. ^ "Models Of Computation". wiki.c2.com. December 3, 2014. Archived from the original on Nov 30, 2020.
  3. ^ C. Böhm and W. Gross (1996). Introduction to the CUCH. In E. R. Caianiello (ed.), Automata Theory, p. 35-64/
  4. ^ Benjamin C. Pierce. 2002. Types and Programming Languages. MIT Press, Cambridge, Massachusetts, USA.

Further reading