Interaction data, gathered from developers' daily clicks and key presses in the IDE, has found use in both empirical studies and in recommendation systems for software engineering. We observe that this data has several characteristics, common across IDEs:
BibTeX
@inproceedings{Damevski-al:ICSE18,
author = {Kostadin Damevski and
Hui Chen and
David C. Shepherd and
Nicholas A. Kraft and
Lori L. Pollock},
title = {Predicting future developer behavior in the {IDE} using topic models},
booktitle = {ICSE},
pages = {932},
publisher = {{ACM}},
year = {2018},
}
