TY - CHAP A1 - Hauser, Florian A1 - Schreistetter, Stefan A1 - Reuter, Rebecca A1 - Mottok, Jürgen A1 - Gruber, Hans A1 - Holmqvist, Kenneth A1 - Schorr, Nick T1 - Code reviews in C++: Preliminary results from an eye tracking study T2 - ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and ApplicationsJune 2020 N2 - Code reviews are an essential part of quality assurance in modern software projects. But despite their great importance, they are still carried out in a way that relies on human skills and decisions. During the last decade, there have been several publications on code reviews using eye tracking as a method, but only a few studies have focused on the performance differences between experts and novices. To get a deeper understanding of these differences, the following experiment was developed: This study surveys expertise-related differences in experts’, advanced programmers’, and novices’ eye movements during the review of eight short C++ code examples, including correct and erroneous codes. A sample of 35 participants (21 novices, 14 advanced and expert programmers) were recruited. A Tobii Spectrum 600 was used for the data collection. Measures included participants’ eye movements during the code review, demographic background data, and cued retrospective verbal comments on replays of their own eye movement recordings. Preliminary results give proof for experience-related differences between participants. Advanced and expert programmers performed significantly better in case of error detection and the eye tracking data implies a more efficient reviewing strategy. Y1 - 2020 SN - ISBN 9781450371346 U6 - https://doi.org/10.1145/3379156.3391980 SP - 1 EP - 5 ER - TY - CHAP A1 - Gruber, Hans A1 - Wolff, Christian A1 - Mottok, Jürgen A1 - Bazo, Alexander A1 - Hauser, Florian A1 - Schreistetter, Stefan T1 - Tutorial on Software Engineering Education in Co-Located Multi-User Eye-Tracking-Environments T2 - Proceedings of the 32nd IEEE Conference on Software Engineering Education and Training: Munich, November 2020 N2 - We briefly describe a tutorial on the application of Eye-Tracking technology for Software Engineering Education. We will showcase our setup of a large-scale Eye-Tracking-Classroom and its usage for real-time improvement of traditional learning scenarios in Software Engineering Education. We will focus on the integration of gaze data into modern integrated development environments (IDEs) and demonstrate a complete workflow for its usage in co-located multi-user Eye-Tracking-Environments. KW - eye-tracking KW - software engineering education KW - multi-user eye tracking KW - real-time learning scenarios Y1 - 2020 U6 - https://doi.org/10.1109/CSEET49119.2020.9206170 ER - TY - CHAP A1 - Schreistetter, Stefan A1 - Hauser, Florian A1 - Reuter, Rebecca A1 - Jahn, Sabrina A1 - Mottok, Jürgen T1 - Using Eye Tracking Data to analyze students’ tasks solving behavior in classroom contexts T2 - 12th International Conference of Education, Research and Innovation (ICERI 2019), Conference Proceedings, 2019, Seville (Spain) Y1 - 2019 SN - 978-84-09-14755-7 U6 - https://doi.org/10.21125/iceri.2019.1473 SN - 2340-1095 SP - 6087 EP - 6096 ER - TY - GEN A1 - Stark, T. A1 - Schreistetter, Stefan A1 - Reuter, R. A1 - Hauser, Florian A1 - Holmqvist, K. A1 - Mottok, Jürgen A1 - Gruber, Hans T1 - Learning from Gaze: Eye Movement Modeling Examples in Software Engineering Education T2 - Earli Book of Abstracts Y1 - 2021 UR - https://earli.org/assets/files/BOA-2021.pdf SP - 291 PB - Earli ER -