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MSR 2018
Mon 28 - Tue 29 May 2018 Gothenburg, Sweden
co-located with * ICSE 2018 *
Mon 28 May 2018 16:45 - 16:51 at E4 room - Mining Challenge

This paper presents a technique to identify a developer based on their IDE event data. We exploited the KaVE data set which recorded IDE activities from 85 developers with 11M events. We found that using an SVM with a linear kernel on raw event count outperformed k-NN in identifying developers with an accuracy of 0.52. Moreover, after setting the optimal number of events and sessions to train the classifier, we achieved a higher accuracy of 0.69 and 0.71 respectively. The findings shows that we can identify developers based on their IDE event data. The technique can be expanded further to group similar developers for IDE feature recommendations.

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 Ndungu University College London, 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