Identifying Code Reading Strategies in Debugging using STA with a Tolerance Algorithm

• Main Authors: Tablatin, Christine Lourrine S, Rodrigo, Ma. Mercedes T
• Format: text
• Published: Archīum Ateneo 2022
• Subjects: Codes (symbols); Eye tracking; Program debugging; Semantics; Bottom up; Complex programs; Eye-tracking; Identifying code; Reading patterns; Reading strategies; Scan path; Simple++; Tracking data; Trend analysis; Students; Computer Engineering; Electrical and Computer Engineering; Engineering; Signal Processing
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/341; https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1341&context=discs-faculty-pubs
• Institution: Ateneo De Manila University

The purpose of this study was to identify the common code reading strategies of the high and low performing students engaged in a debugging task. Using Scanpath Trend Analysis (STA) with a tolerance on eye tracking data, common scanpaths of high and low performing students were generated. The common...