Method of Functioning and Realization of Ontology-Based Intelligent Agent for Parsing the Natural-Language Software Requirements Specifications

Abstract

The paper is devoted to development of ontology-based intelligent agent for parsing the natural-language software requirements specifications. The paper develops a method of functioning, structure and realization of ontology-based intelligent agent for parsing the natural-language software requirements specifications. The simplicity of the method of functioning the intelligent agent provides high-speed parsing of natural-language specifications. The developed intelligent agent makes it possible to perform the analysis of natural-language specifications to determine the presence or absence of attributes needed to determine the non-functional characteristics-components of software quality. As a result of such parsing, the proposed intelligent agent determines the number and percentage of missing attributes, displays which attributes are missing for a particular subcharacteristics of non-functional characteristics, and also forms a real ontology for non-functional characteristics. The results of the operation of the intelligent agent are then used to assess the sufficiency of information (attributes) to determine the non-functional characteristics-components of software quality, and can also be used as recommendations for developers of specifications (requirements’ engineers) with the purpose of providing the maximum quantity of attributes, which are necessary to determine the non-functional characteristics, in the specifications of software requirements.