Mining and Extraction of Personal Software Process measures through IDE Interaction logs (MSR 2018 - Mining Challenge) - MSR 2018

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Mon 28 - Tue 29 May 2018 Gothenburg, Sweden

co-located with * ICSE 2018 *

Who

Alireza Joonbakhsh , Ashkan Sami

Track

MSR 2018 Mining Challenge

Time Zone

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When

Mon 28 May 2018 16:25 - 16:32 at E4 room - Mining Challenge

Abstract

The Personal Software Process (PSP) is an effective software process improvement method that heavily relies on manual collection of software development data. This paper describes a semi-automated method that reduces the burden of PSP data collection by extracting the required time and size of PSP measurements from IDE interaction logs. The tool mines enriched event data streams so can be easily generalized to other developing environment also. In addition, the proposed method is adaptable to phase definition changes and creates activity visualizations and summarizations that are helpful for software project management. Tools and processed data used for this paper are available on GitHub at: https://github.com/unknowngithubuser1/data.

Link to Preprint

https://github.com/unknowngithubuser1/data/blob/master/PID5276283.pdf

DOI

https://doi.org/10.1145/3196398.3196462

Alireza Joonbakhsh Author

Shiraz University, Iran

Iran

Ashkan SamiAuthor

Time Zone

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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 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