8. 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 text to be processed to extract a constraint corresponding to an object in the text, the constraint defining one or more values permitted to be associated with the object; associate part-of-speech tags with words in the text for improving extraction of the constraint; extract the constraint based on associating the part-of-speech tags with the words and identifying a pattern in the text, generate one or more equations based on the constraint; generate, based on the constraint, positive test data and negative test data for testing values for the object, the positive test data including a first value that satisfies the constraint based on the one or more equations, and the negative test data including a second value that violates the constraint based on the one or more equations; receive existing test data from a memory location; apply the positive test data, the negative test data, and the existing test data to a system that is designed based on the text for at least one of: improving software accuracy, reducing security issues, or conserving processing resources; validate a classification of the existing test data as having a positive classification or a negative classification; and provide, for display on a user interface and based on applying the positive test data, the negative test data, and the existing test data, information that identifies: a first particular constraint that the positive test data satisfies, a second particular constraint that the negative test data violates, and the validation of the classification of the existing test data.
8. 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 text to be processed to extract a constraint corresponding to an object in the text, the constraint defining one or more values permitted to be associated with the object; associate part-of-speech tags with words in the text for improving extraction of the constraint; extract the constraint based on associating the part-of-speech tags with the words and identifying a pattern in the text, generate one or more equations based on the constraint; generate, based on the constraint, positive test data and negative test data for testing values for the object, the positive test data including a first value that satisfies the constraint based on the one or more equations, and the negative test data including a second value that violates the constraint based on the one or more equations; receive existing test data from a memory location; apply the positive test data, the negative test data, and the existing test data to a system that is designed based on the text for at least one of: improving software accuracy, reducing security issues, or conserving processing resources; validate a classification of the existing test data as having a positive classification or a negative classification; and provide, for display on a user interface and based on applying the positive test data, the negative test data, and the existing test data, information that identifies: a first particular constraint that the positive test data satisfies, a second particular constraint that the negative test data violates, and the validation of the classification of the existing test data. 9. The non-transitory computer-readable medium of claim 8 , where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to: determine whether the existing test data satisfies the constraint; and where the one or more instructions, that cause the one or more processors to provide the information, cause the one or more processors to: provide information that indicates whether the existing test data satisfies the constraint.