System and method for intelligent synthetic test data generation

A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to produce enriched test data by performing the following:

• receive, at a feature extraction module, a first design dataset for a cloud transformation;
• extract, at the feature extraction module, at least a first set of attributes from the first design dataset in a first data file;
• receive, at an attribute classification module, the first data file;
• classify, at the attribute classification module, each attribute in the first data file as falling under at least one attribute type to produce a first classification dataset;
• receive, at an attribute relationship module, the first data file;
• identify, at the attribute relationship module, a transformation relationship for each attribute in the first data file to produce a first relationship dataset;
• receive, at a data engine, input including the first data file, the first classification dataset, the first relationship dataset, and a metadata set associated with the cloud transformation design;
• and
• automatically create, at the data engine and based on the input, a design-specific test dataset for performing tests on software undergoing a cloud transformation.

A system for producing enriched test data comprising one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to:

• receive, at a feature extraction module, a first design dataset for a cloud transformation;
• extract, at the feature extraction module, at least a first set of attributes from the first design dataset in a first data file;
• receive, at an attribute classification module, the first data file;
• classify, at the attribute classification module, each attribute in the first data file as falling under at least one attribute type to produce a first classification dataset;
• receive, at an attribute relationship module, the first data file;
• identify, at the attribute relationship module, a transformation relationship for each attribute in the first data file to produce a first relationship dataset;
• receive, at a data engine, input including the first data file, the first classification dataset, the first relationship dataset, and a metadata set associated with the cloud transformation design;
• and
• automatically create, at the data engine and based on the input, a design-specific test dataset for performing tests on software undergoing a cloud transformation.