@inproceedings{bbe40d954d594dd78f20ba72d4dcea1d,
title = "Using Eye Tracking Technology to Analyze the Impact of Stylistic Inconsistency on Code Readability",
abstract = "A number of research efforts have focused in the area of programming style. However, to the best of our knowledge, there is little sound and solid evidence of how and to what extent can stylistic inconsistency impact the readability and maintainability of the source code. To bridge the research gap, we design an empirical experiment in which eye tracking technology is introduced to quantitatively reflect developers' cognitive efforts and mental processes when encountering the inconsistency issue.",
keywords = "code readability, eye tracking technology, program comprehension, programming style, stylistic inconsistency",
author = "Qing Mi and Jacky Keung and Jianglin Huang and Yan Xiao",
year = "2017",
month = jul,
doi = "10.1109/QRS-C.2017.102",
language = "English",
isbn = "978-1-5386-2073-1",
series = "Proceedings - 2017 IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2017",
publisher = "IEEE",
pages = "579--580",
booktitle = "Proceedings - 2017 IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2017",
address = "United States",
note = "2017 IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2017 ; Conference date: 25-07-2017 Through 29-07-2017",
}