Reactive information foraging: an empirical investigation of theory-based recommender systems for programmers

doi:10.1145/2208516.2208608

Reactive information foraging: an empirical investigation of theory-based recommender systems for programmers

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Authors:	David Piorkowski	Oregon State University, Corvallis, Oregon, United States
	Scott Fleming	University of Memphis & Oregon State University, Memphis, Tennessee, United States
	Christopher Scaffidi	Oregon State University, Corvallis, Oregon, United States
	Christopher Bogart	Oregon State University, Corvallis, Oregon, United States
	Margaret Burnett	Oregon State University, Corvallis, Oregon, United States
	Bonnie John	IBM Research & HCI Institute, Carnegie Mellon University, Hawthorne, New York, United States
	Rachel Bellamy	IBM Research, Hawthorne, New York, United States
	Calvin Swart	IBM Research, Hawthorne, New York, United States

	2012 Article
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	CHI '12 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
	Pages 1471-1480 ACM New York, NY, USA ©2012 table of contents ISBN: 978-1-4503-1015-4 doi>10.1145/2207676.2208608

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Tags: debugging information foraging software maintenance testing and debugging user/machine systems

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