A Software Ecosystem for Project Management in BIM Environments Assisted by Artificial Intelligent Techniques

This paper presents a new platform called BusinessRedmine for project management in BIM environments. The platform constitutes a software ecosystem that combines traditional project management techniques with soft computing techniques for decision-making in projects. The proposed platform is business intelligence tools and consist of a set of software actives that cover the different processes of project management. The platform allows the management of multiple processes such as: scope management, planning management, schedule construction, risk management, stakeholder management, communications and quality. In addition, it facilitates integration with tools for 2D and 3D design using the IFC format. The platform includes facilities for managing project files aligned with the ISO 19650 series of standards. One of the fundamental elements it provides is the application of soft computing techniques to artificial intelligence for decision-making in project cuts. We compare the algorithm FISBR proposed in BusinessRedmine systems for project evaluation with other algorithms reported in bibliography based on neural networks and genetic algorithms techniques. The algorithms selected learn from a database that contains projects already evaluated and after that classify other projects. In experiments, we applied cross validation techniques combined with Friedman test and Wilcoxon test. Finally, a comparison with different project management tools is presented.