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Ontology-based computational intelligent multi-agent and its application to CMMI assessment

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Abstract

This study presents an ontology-based computational intelligent multi-agent system for Capability Maturity Model Integration (CMMI) assessment. An ontology model is developed to represent the CMMI domain knowledge that will be adopted by the computational intelligent multi-agent. The CMMI ontology is predefined by domain experts, and created by the ontology generating system. The computational intelligent multi-agent comprises a natural language processing agent, an ontological reasoning agent and a summary agent. The multi-agent deals with the evaluation reports from the natural language processing agent, infers the term relation strength between the ontology and the evaluation report, and then summarizes the main sentences of the evaluation report. The summary reports are meanwhile transmitted back to the domain expert, which makes the domain expert further adjust the CMMI ontology. Experimental results indicate that the ontology-based computational intelligent multi-agent can effectively summarize the evaluation reports for the CMMI assessment.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National University of Tainan, Tainan, 700, Taiwan

    Chang-Shing Lee & Mei-Hui Wang

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  1. Chang-Shing Lee
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  2. Mei-Hui Wang
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Correspondence to Chang-Shing Lee.

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Lee, CS., Wang, MH. Ontology-based computational intelligent multi-agent and its application to CMMI assessment. Appl Intell 30, 203–219 (2009). https://doi.org/10.1007/s10489-007-0071-1

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  • DOI: https://doi.org/10.1007/s10489-007-0071-1

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