An Intelligent Fuzzy Agent based on PPQA Ontology for Supporting CMMI Assessment

This paper presents an intelligent fuzzy agent based on process and product quality assurance (PPQA) ontology for supporting Capability Maturity Model Integration (CMMI) assessment. The intelligent fuzzy agent is composed of a document processing mechanism, an intelligent reasoning mechanism, and a summary mechanism. The PPQA ontology is predefined by domain experts and generated by the ontology generating system. First, the PPQA staff evaluates the process and product quality, and then produces the evaluation reports. The intelligent fuzzy agent deals with the reports by the natural language processing mechanism, infers the term relation strength, and summarizes the key sentences of the evaluation reports. Finally, the results of summarization are stored in the quality assurance repository and output to the relevant stakeholders. The experimental results show that the intelligent fuzzy agent based on PPQA ontology can effectively operate for the summarization of the evaluation reports.

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