Mining software repositories to acquire software risk knowledge

Abstract

Knowing and managing the software risks are important for software project management. The information collected from past projects can be used to obtain the knowledge of the software risk. The challenge to acquire the knowledge of software risk is that the software development environment is complex and contains large amount factors that may affect the software projects. This study proposes an approach that applies data mining techniques on the data collected from historic software projects to acquire software risk knowledge. The obtained software risk knowledge can be used to facilitate software project management. The advantage of the proposed approach is that the software risk knowledge can be acquired automatically according to the selected attributes. The proposed approach is applied on a business project to demonstrate how the software risk knowledge can be acquired.