The Hidden Cost of Code Completion: Understanding the Impact of the Recommendation-list Length on its Efficiency (MSR 2018 - Mining Challenge) - MSR 2018

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Mon 28 - Tue 29 May 2018 Gothenburg, Sweden

co-located with * ICSE 2018 *

Who

Xianhao Jin, Francisco Servant

Track

MSR 2018 Mining Challenge

Time Zone

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When

Mon 28 May 2018 16:12 - 16:19 at E4 room - Mining Challenge

Link to Preprint

http://people.cs.vt.edu/xianhao8/2018_msrch_xianhao.pdf

Xianhao JinAuthor

Virginia Tech, USA

China

Francisco ServantAuthor

Virginia Tech

United States

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

Use conference time zone: (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, ViennaSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

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Session Program

Mon 28 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

	16:00 - 17:30	Mining ChallengeMining Challenge at E4 room

	16:00 6m Short-paper		Enriched Event Streams: A General Dataset For Empirical Studies On In-IDE Activities Of Software Developers Mining Challenge A: Sebastian Proksch University of Zurich, A: Sven Amann Technische Universität Darmstadt, A: Sarah Nadi University of Alberta
	16:06 6m Short-paper		Comprehension Effort and Programming Activities: Related? Or Not Related? Mining Challenge A: Akond Rahman North Carolina State University Pre-print Media Attached
	16:12 6m Short-paper		The Hidden Cost of Code Completion: Understanding the Impact of the Recommendation-list Length on its Efficiency Mining Challenge A: Xianhao Jin Virginia Tech, USA, A: Francisco Servant Virginia Tech Pre-print
	16:19 6m Short-paper		Empirical Study on the Relationship Between Developers Working Habits and Efficiency Mining Challenge A: Ariel Rodriguez , A: Fumiya Tanaka , A: Yasutaka Kamei Kyushu University Pre-print
	16:25 6m Short-paper		Mining and Extraction of Personal Software Process measures through IDE Interaction logs Mining Challenge A: Alireza Joonbakhsh Shiraz University, Iran, A: Ashkan Sami DOI Pre-print
	16:32 6m Short-paper		Predicting Developer IDE Commands with Machine Learning Mining Challenge A: Tyson Bulmer , A: Lloyd Montgomery Universität Hamburg, A: Daniela Damian University of Victoria Pre-print
	16:38 6m Short-paper		Do Practitioners Use Autocompletion Features Differently Than Non-Practitioners? Mining Challenge A: Rahul Amlekar , A: Andrés Felipe Rincón Gamboa , A: Keheliya Gallaba McGill University, A: Shane McIntosh McGill University Pre-print
	16:45 6m Short-paper		Who's this? Developer identification using IDE event data Mining Challenge A: John Wilkie , A: Ziad Al Halabi , A: Alperen Karaoglu , A: Jiafeng Liao , A: George M , A: Chaiyong Ragkhitwetsagul University College London, UK, A: Matheus Paixao University College London, A: Jens Krinke University College London DOI Pre-print
	16:51 6m Short-paper		Detecting and Characterizing Developer Behavior Following Opportunistic Reuse of Code Snippets from the Web Mining Challenge A: Agnieszka Ciborowska , A: Nicholas A. Kraft ABB Corporate Research, A: Kostadin Damevski Virginia Commonwealth University Pre-print
	16:57 6m Short-paper		Revisiting “Programmers’ Build Errors” in the Visual Studio Context: A Replication Study using IDE Interaction Traces Mining Challenge A: Noam Rabbani McGill University, A: Mike Harvey , A: Sadnan Saquif , A: Keheliya Gallaba McGill University, A: Shane McIntosh McGill University Pre-print
	17:04 6m Short-paper		Common Statement Kind Changes to Inform Automatic Program Repair Mining Challenge A: Mauricio Soto Carnegie Mellon University, A: Claire Le Goues Carnegie Mellon University Pre-print
	17:10 6m Short-paper		Studying Developer Build Issues And Debugger Usage via Timeline Analysis in Visual Studio IDE Mining Challenge A: Christopher Bellman , A: Ahmad Seet , A: Olga Baysal Carleton University Pre-print
	17:17 6m Short-paper		Detection and Analysis of Behavioral T-patterns in Debugging Activities Mining Challenge A: César Soto-Valero Universidad Central "Marta Abreu" de Las Villas, A: Johann Bourcier , A: Benoit Baudry KTH Royal Institute of Technology, Sweden Pre-print
	17:23 6m Short-paper		A Study on the Use of IDE Features for Debugging Mining Challenge A: Afsoon Afzal Carnegie Mellon University, A: Claire Le Goues Carnegie Mellon University Pre-print