Assisting Software Projects with Bug Report Assignment Recommender Creation

Software development projects receive many change requests each day and each report must be examined to decide how the request will be handled by the project. One decision that is frequently made is to which software developer to assign the change request. Efforts have been made toward semi-automating this decision, with the most promising approaches using machine learning algorithms. However, using machine learning to create an assignment recommender is a complex process that must be tailored to each individual software development project. This paper presents the Creation Assistant for Easy Assignment (CASEA), a tool that leverages a project member’s knowledge to assist in creating an assignment recommender specific to the software development project. Keywords-bug report triage; assignment recommendation; machine learning; recommender creation