DTM Data Generation SDK is a Library and component for test data generation that allows the programmer, webmaster or advanced user to add test data generation features to application, script or website. Easy to use developers kit with C/C++, C#, ASP, VB/Jscripts support.The SDK provides several levels of service: low-level functions, fill methods functions, project level services like creating or saving projects and rule level functions.

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generation types for each field including list, random, incremental data generation and more; - Ability to use SQL query results as list of values for data generation; - Automatic control over referential integrity for linked tables data generation; - Wide variety of generation parameters for each field type; - Ability to set NULL values for certain percent of cases; - Saving all generation parameters set on current wizard session; - Command-line

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generation types for each field including list, random, incremental data generation and more; - Ability to use SQL query results as list of values for data generation; - Automatic control over referential integrity for linked tables data generation; - Wide variety of generation parameters for each field type; - Ability to set NULL values for certain percent of cases; - Possibility of saving all the generation parameters, set on current wizard session

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generation types for each field including list, random, incremental data generation and more; - Ability to use SQL query results as list of values for data generation; - Automatic control over referential integrity for linked tables data generation; - Wide variety of generation parameters for each field type; - Ability to set NULL values for certain percent of cases; - Possibility of saving all the generation parameters, set on current wizard session

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generation types for each field including list, random, incremental data generation and more; - Ability to use SQL query results as list of values for data generation; - Automatic control over referential integrity for linked tables data generation; - Wide variety of generation parameters for each field type; - Ability to set NULL values for certain percent of cases; - Possibility of saving all the generation parameters, set on current wizard session

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generation types for each field including list, random, incremental data generation and more; - Ability to use SQL query results as list of values for data generation; - Automatic control over referential integrity for linked tables data generation; - Wide variety of generation parameters for each field type; - Ability to set NULL values for certain percent of cases; - Possibility of saving all the generation parameters, set on current wizard session

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