9. The non-transitory computer-readable medium of claim 7 , where the one or more instructions, that cause the one or more processors to infer the one or more type classifications, cause the one or more processors to: infer that the particular term corresponds to a composite type classification, the composite type classification indicating that the particular term represents one or more constituent terms included in the text, the information associated with development of the computer program indicating a relationship between the particular term and the one or more constituent terms.
7. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions that, when executed by one or more processors, cause the one or more processors to: obtain, via an interface or from a memory, information identifying type classifications, the interface including one or more of a communication interface or a user interface, each type classification, of the type classifications, indicating that terms classified under the type classification are expressed by a particular type of value of a plurality of types of values, and the plurality of types of values including character strings and numeric values; obtain, via the interface, text to be processed to infer one or more type classifications, of the type classifications, associated with terms in the text, the text being included in a file associated with development of a computer program, and each respective term, of the terms, being associated with a plurality of different possible values of a same type classification of the one or more type classifications; standardize the text to prepare the text for processing by adjusting at least one character in the text of the file; process the text that has been standardized to identify terms in the text based on delimiting characters in the text; associate at least one tag with the identified terms in the text, the at least one tag being one or more of a part-of-speech tag, an entity tag, or a term tag; extract, based on the at least one tag associated with the terms, one or more terms, of the terms identified in the text, U for which to infer the one or more type classifications, a quantity of the unique terms being fewer than a quantity of the terms identified in the text; generate a data structure that stores the unique terms; infer the one or more type classifications corresponding to the unique terms by performing one or more type classification techniques, the one or more type classification techniques including at least one of: a name-based analysis that compares the unique terms to name-based type indicators that indicate the one or more type classifications, a context-based analysis that compares one or more modifiers, that modify the unique terms, to context-based type indicators that indicate the one or more type classifications, a synonym-based analysis that compares one or more synonyms, of the unique terms, to the name-based type indicators that indicate the one or more type classifications, or a value-based analysis that compares one or more values, associated with the unique terms, to value-based type indicators that indicate the one or more type classifications; classify the unique terms by assigning the one or more type classifications to the unique terms based on performing the one or more type classification techniques; provide, for display via the interface, information associated with development of the computer program, the information associated with development of the computer program indicating a type relationship between a particular type classification, of the one or more type classifications, and a particular term, of the unique terms; receive, via the interface, a set of test data rules from a user or from another device; generate test data based on the set of test data rules, the test data including the unique terms to be classified, type classifications under which the unique terms are to be classified, and values for the unique terms; apply the test data to the computer program, the computer program being designed based on the text that was processed to infer one or more type classifications for the unique terms extracted from the text, and the applying of the test data to the computer program includes input of the test data to the computer program and executing the computer program to: classify the test data to obtain a confidence score associated with the classifying a unique term, of the unique terms, under each of the type classifications determined to be associated with the unique term; and provide, for display to the user or to another device, the test data, the one or more type classifications generated from the test data, and the confidence score associated with the one or more type classifications.