Recommendation system to enhance planning of software development using r
Jaideep Jagadeeshwar Rao, Rakesh Kelappan, Paul Pallath · 2014
Today, planning phase of software development is very important since it involves crucial decision making on resource allocation, task management and delivery timelines. It is extremely important for employees and administrative decision makers (managers) to understand the data (e.g., historic software artifacts, resource availability) and arrive at a decision. We try to apply data mining concepts like regression, classification and hybrid approaches to effectively plan the future allocations using open source R-scripts. These results could be correlated to recommend the best practices to be implemented, thus helping the management to gain better visibility. These custom R-scripts could be efficiently reused in the future to predict the further planning of the task. Our recommendation system aims at providing which-task-to-whom feature with the help of proposed automated estimation process for planning of software development.