17. The method of claim 14 , where inferring the type relationship by performing the one or more type classification techniques comprises: performing the synonym-based analysis; determining, based on performing the synonym-based analysis, that the synonym includes a first word that matches a second word included in the set of name-based type indicators; and inferring the type relationship based on determining that the synonym includes the first word that matches the second word.
14. A method, comprising: obtaining, by a device, information identifying type classifications via an interface or from a memory, 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, the plurality of types of values including character strings and numeric values; obtaining, by the device and via the interface, text to be processed to infer one or more type classifications associated with unique terms, the text being included in a file associated with development of a computer program for a computer system, 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; standardizing, by the device, the text to prepare the text for processing by adjusting at least one character in the text of the file; processing, by the device, the text that has been standardized to identify terms in the text based on delimiting characters in the text; associating, by the device, 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; extracting, by the device and based on the at least one tag associated with the terms, one or more terms, of the terms identified in the text, as unique terms 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; generating a data structure that stores the unique terms; inferring, by the device, a type relationship between a particular term, of the unique terms stored in the data structure, and a particular type classification, of the one or more type classifications, 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 particular term to a set of name-based type indicators associated with the particular type classification, a context-based analysis that compares a modifier, that modifies the particular term, to a set of context-based type indicators associated with the particular type classification, a synonym-based analysis that compares a synonym, of the particular term, to the set of name-based type indicators associated with the particular type classification, or a value-based analysis that compares a value, that appears within a threshold proximity of the particular term, to a set of value-based type indicators or a set of value-based type patterns associated with the particular type classification; classifying, by the device, 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; providing, for display via the interface and by the device, information associated with development of the computer program, the information associated with development of the computer program identifying the type relationship, between the particular term and the particular type classification, based on inferring the type relationship and further based on performing the one or more type classification techniques; receiving, via the interface and by the device, a set of test data rules from a user or from another device; generating, by the device, 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; applying, by the device, 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 providing, by the device and 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.