Abstract: Relational database schema generation includes obtaining an input requirements specification for a relational database to be generated, interpreting text characters of the requirements specification as values of a predefined character encoding, parsing the interpreted text characters and identifying complete sentences of the requirements specification, identifying, using an input dictionary that specifies combinations of character values of the predefined character encoding, proper nouns in the identified complete sentences and common nouns in the identified complete sentences, and generating a relational database schema script for the relational database, the generating including indicating the identified proper nouns of the complete sentences as entities of the relational database and indicating the identified common nouns of the complete sentences as attributes of those entities.

Abstract: Relational database schema generation includes obtaining an input requirements specification for a relational database to be generated, interpreting text characters of the requirements specification as values of a predefined character encoding, parsing the interpreted text characters and identifying complete sentences of the requirements specification, identifying, using an input dictionary that specifies combinations of character values of the predefined character encoding, proper nouns in the identified complete sentences and common nouns in the identified complete sentences, and generating a relational database schema script for the relational database, the generating including indicating the identified proper nouns of the complete sentences as entities of the relational database and indicating the identified common nouns of the complete sentences as attributes of those entities.

Abstract: An approach to generating an application prototype. The approach parses ASCII text-based requirements into a collection of sentences and parses the collection of sentences into collections words associated with the collection of sentences. The approach then uses an ASCII dictionary to determine the nouns and verbs found in the collections of words marking the nouns as entities and the verbs as responsibilities. Further, the approach determines if nouns are shared among the collection of sentences and if they are, then records relationships between the sentences. The approach then generates metadata describing these components and generates byte code based on the metadata. The approach packages the byte code, other data relating to the entry point and type of prototype application, e.g., web-based or standalone and an encryption module for distribution.

Abstract: An approach to generating an application prototype. The approach parses ASCII text-based requirements into a collection of sentences and parses the collection of sentences into collections words associated with the collection of sentences. The approach then uses an ASCII dictionary to determine the nouns and verbs found in the collections of words marking the nouns as entities and the verbs as responsibilities. Further, the approach determines if nouns are shared among the collection of sentences and if they are, then records relationships between the sentences. The approach then generates metadata describing these components and generates byte code based on the metadata. The approach packages the byte code, other data relating to the entry point and type of prototype application, e.g., web-based or standalone and an encryption module for distribution.