@inproceedings{dcf450d8e3764ac9b49939ce1523052d,
title = "Does pair programming work in a data science context? An initial case study",
abstract = "While pair programming has been studied extensively for software programmers, very little has been reported with respect to pair programming in a data science project. This paper reports on a case study evaluating the effectiveness of pair programming within a data science / big data context. Our findings show that pair programming can be useful for data science teams. In addition, while the driver role was similar to what has been described for software programmers, we note that the observer role had an expanded set of responsibilities, which we termed researcher activities. Further exploration is required to explore if these expanded roles are specific to data science pair programming.",
keywords = "Big Data, Data Science, Pair Programming, Process Methodology, Project Management",
author = "Saltz, {Jeffrey S.} and Ivan Shamshurin",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 5th IEEE International Conference on Big Data, Big Data 2017 ; Conference date: 11-12-2017 Through 14-12-2017",
year = "2017",
month = jul,
day = "1",
doi = "10.1109/BigData.2017.8258189",
language = "English (US)",
series = "Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2348--2354",
editor = "Jian-Yun Nie and Zoran Obradovic and Toyotaro Suzumura and Rumi Ghosh and Raghunath Nambiar and Chonggang Wang and Hui Zang and Ricardo Baeza-Yates and Ricardo Baeza-Yates and Xiaohua Hu and Jeremy Kepner and Alfredo Cuzzocrea and Jian Tang and Masashi Toyoda",
booktitle = "Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017",
}