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Recommendation system for IT software project planning: A hybrid mining approach for the revised CBR algorithm

AI approaches have seldom been adopted in project management. However, project managers require some assistance to reduce the uncertainty about planning at early project stages. This investigation presents the revised case-based reasoning (RCBR) algorithm, based on the mining approach, to form an online project planning recommendation system. The proposed RCBR algorithm is successfully applied to analyze real data from an IT consultancy in Taiwan. Experiment results demonstrate that RCBR can efficiently provide related project(s) to help project managers to construct project plans. Additionally, the knowledge discovery (KDD) process of RCBR provides project managers with results similar to what-if analysis, enabling project managers to obtain feasible information to re-schedule project resources and bargain with their customers.