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Abstract

An automated, user-interactive procedure is used to obtain the right statements for computer software from the user in a way in which the statements elicited from the user are free from errors due to ambiguity, conflict, redundancy, inconsistency, and the like without compromise of user intent. The advanced integrated statements engineering system (AIRES) is an integrated environment, supporting and spanning the statements engineering life cycle. Each activity in the statements engineering life cycle is supported by a set of automated CASE tools, which taken together, comprise a suite of CASE tools in the AIRES environment. A primary feature of the assessment framework is a classification ectype (CE), which is a combination of operator controlled rules and tables to represent a category within a classification structure. CE-based statements assessment (CEBRA) provides automated support techniques to 'recognize' and thus categorize English text. The AIRES-CEBRA approach applies two CE forms in combination; semantic-based and syntactic-based. The semantic-based CE from includes, as elements of the rules, text attributes such as parts of speech and order and juxtaposition of terms. Successive application of a set of such rules enables the application of a wide variety of recognition techniques including sophisticated linguistic pattern matching rules as well as semantic classification principles. The syntactic CE form enables categorization without constraint of semantic content, considering only term presence or absence. The combination of the two CE forms, semantic and syntactic, significantly improves the effectiveness of the AIRES invention, over and above their significance individually to text categorization.

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First Claim