String generation

In computer science, string generation is the process of creating a set of strings from a collection of rules. This is an opposite process to that of parsing, which recognises a string based on some collection of rules.

Applications of string generation include test data generation, Captchas and random essay generation.

Generation methods

Methods for generating strings include:

• While a deterministic finite automaton is often used to recognize strings it can easily be changed to generate strings.

Unsolved problems

Unsolved problems in string generation include: It is an undecidable problem to decide whether a given string can be generated by a given W-grammar.

See also

• Pretty printing – another process often considered the dual of parsing.

External links

• DGL – Data Generation Language an apparently general facility for addressing this problem
• Eli Benderski blog with a demo in Python
• Bruce McKenzie paper on a general algorithm
• Generate strings matching a regular expression
• Generate strings from a yacc grammar
• comp.compilers discussion
• Generate random C programs
• Generate random string using python
• Replacement Game user generates strings by applying replacement rules