Ontology-based Intelligent Decision Support Agent for CMMI Project Monitoring and Control

This paper presents an ontology-based intelligent decision support agent (OIDSA) to apply to project monitoring and control (PMC) of capability maturity model integration (CMMI). The OIDSA is composed of three agents, namely a natural language processing agent, a fuzzy inference agent and a performance decision support agent. All the needed information is stored into an ontology repository, including the CMMI ontology and the project personal ontology (PPO), as well as Chinese dictionary. In addition, the natural language processing agent periodically collects the information of the project progress from project member to analyze the features of the terms for semantic concept clustering through document pre-processing and term filter process. Next, based on the CMMI ontology, the project personal ontology, and the processing results from the natural language processing agent, the fuzzy inference agent and performance decision support agent perform an inference mechanism to calculate the completed percentage of the project progress for each project member, then send the results out to the project manager for evaluating the performance of each project member. The experimental results show that the OIDSA can work effectively for PMC of CMMI