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Using Eye Gaze Data to Recognize Task-Relevant Source Code Better and More Fine-Grained


Kevic, Katja (2017). Using Eye Gaze Data to Recognize Task-Relevant Source Code Better and More Fine-Grained. In: 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C), Buenos Aires, 20 June 2017 - 28 June 2017, 103-105.

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Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:28 June 2017
Deposited On:01 Mar 2018 09:19
Last Modified:20 Sep 2018 04:30
Publisher:IEEE
ISBN:978-1-5386-1589-8
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/ICSE-C.2017.152
Other Identification Number:merlin-id:16208

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