A knowledge base system used to estimate schedule, effort, staff, documentation and defects in a software development process

Software managers need to have information in order to control a software development process. One way to get this information is using data from old software projects. When this information is not available, software managers can not make precise plans to develop software. In this paper we are going to present an intelligent system that given the estimated software size in Function Points (FP) or in Source Lines of Code (SLOC), it will determine the staff, schedule, effort, and paperwork needed to complete the software life cycle (Analysis, Feasibility, Design, Implementation, Integration, and Testing). The system will also estimate how many defects will be expected during the software life cycle. With this information, software managers can make appropriate plans to develop software.