Collaborative eye tracking based code review through real-time shared gaze visualization

摘要

Code review is intended to find bugs in early development phases, improving code quality for later integration and testing. However, due to the lack of experience with algorithm design, or software development, individual novice programmers face challenges while reviewing code. In this paper, we utilize collaborative eye tracking to record the gaze data from multiple reviewers, and share the gaze visualization among them during the code review process. The visualizations, such as borders highlighting current reviewed code lines, transition lines connecting related reviewed code lines, reveal the visual attention about program functions that can facilitate understanding and bug tracing. This can help novice reviewers to make sense to confirm the potential bugs or avoid repeated reviewing of code, and potentially even help to improve reviewing skills. We built a prototype system, and conducted a user study with paired reviewers. The results showed that the shared real-time visualization allowed the reviewers to find bugs more efficiently.