lint (software)
| Original author(s) | Stephen C. Johnson |
|---|---|
| Developer(s) | AT&T Bell Laboratories |
| Initial release | 1978 |
| Written in | C |
| Operating system | Cross-platform |
| Available in | English |
| Type | Static program analysis tools |
lint, or a linter, is a tool that analyzes source code to flag programming errors, bugs, stylistic errors, and suspicious constructs.[1] The term originates from a Unix utility that examined C language source code.[2]
History
Stephen C. Johnson, a computer scientist at Bell Labs, came up with lint in 1978 while debugging the yacc grammar he was writing for C and dealing with portability issues stemming from porting Unix to a 32-bit machine.[3][2] The term "lint" was derived from the name of the tiny bits of fiber and fluff shed by clothing. In 1979, lint was used outside of Bell Labs for the first time in the seventh version (V7) of the Unix operating system.
Over the years, different versions of lint were developed for many C and C++ compilers and while modern-day compilers have lint-like functions, lint-like tools have also advanced their capabilities. For example, Gimpel's PC-Lint, used to analyze C++ source code, is still being sold even though it was introduced in 1985.[3]
Overview
The analysis performed by lint-like tools can also be performed by an optimizing compiler, which aims to generate faster code. In his original 1978 paper, Johnson addressed this issue, concluding that "the general notion of having two programs is a good one" because they concentrated on different things, thereby allowing the programmer to "concentrate at one stage of the programming process solely on the algorithms, data structures, and correctness of the program, and then later retrofit, with the aid of lint, the desirable properties of universality and portability".[2]
Even though modern compilers have evolved to include many of lint's historical functions, lint-like tools have also evolved to detect an even wider variety of suspicious constructs. These include "warnings about syntax errors, uses of undeclared variables, calls to deprecated functions, spacing and formatting conventions, misuse of scope, implicit fallthrough in switch statements, missing license headers, [and]...dangerous language features".[4]
Lint-like tools are especially useful for interpreted languages like JavaScript and Python. Because such languages lack a compiling phase that displays a list of errors prior to execution, the tools can also be used as simple debuggers for common errors (e.g. syntactic discrepancies) as well as hard-to-find errors such as heisenbugs (drawing attention to suspicious code as "possible errors").[5] Lint-like tools generally perform static analysis of source code.[6]
Lint-like tools have also been developed for other aspects of language, including grammar and style guides.[citation needed]
See also
References
- ^ "About SublimeLinter". The SublimeLinter Community, revision 1cecc79c. Retrieved 2020-03-29.
- ^ a b c Johnson, Stephen C. (25 October 1978). "Lint, a C Program Checker" (Document). pp. 78–1273.
{{cite document}}: Cite document requires|publisher=(help); Unknown parameter|citeseerx=ignored (help) - ^ a b Morris, Richard (1 October 2009). "Stephen Curtis Johnson: Geek of the Week". Red Gate Software. Retrieved 19 January 2018.
- ^ "Arcanist User Guide: Lint". Phabricator. Retrieved 19 January 2018.
- ^ "ESLint - Customizable JavaScript linting tool (1)". theCodeCampus. 2015-06-09. Retrieved 2019-04-21.
- ^ Jones, Nigel (1 May 2002). "How to Use Lint for Static Code Analysis". Barr Group.
Further reading
- Darwin, Ian F. (1991). Checking C Programs with Lint: C Programming Utility (Revised ed.). United States: O'Reilly Media. ISBN 978-0937175309.
- "LINT(1)". FreeBSD General Commands Manual (FreeBSD 11.2). 2015-03-23.