Generating formatted requirements from plain-text requirements using generative ai techniques

A method comprising:

• creating a requirement database, wherein the requirement database contains plain-text requirements and associated requirements formatted according to a standard;
• preparing data for training of a generative model from the plain-text requirements and the associated requirements formatted according to the standard;
• training the generative model using the prepared data to convert input plain-text software requirements into output requirements formatted according to the standard;
• and
• deploying the generative model for use within one or more deployed environments.

A method comprising:

• creating a requirement database, wherein the requirement database contains plain-text software requirements and associated requirements formatted according to a standard;
• dividing data in the requirement database into training data, validation data, and testing data;
• training a generative artificial intelligence (AI) model using the training data in the requirement database and generative artificial intelligence techniques to convert plain-text software requirements into requirements formatted according to the standard, wherein training the generative AI model comprises varying system and system response for domain-specific terminologies to get accurate generative AI models;
• validating the trained generative AI model with the validation data;
• testing the generative AI model with the testing data;
• deploying the generative AI model;
• and
• training the generative AI model using additional training data derived from information created by the deployed generative AI model.