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MSR 2019
Sun 26 - Mon 27 May 2019 Montreal, QC, Canada
co-located with ICSE 2019
Sun 26 May 2019 17:34 - 17:41 at Place du Canada - Mining Challenge presentations

Microservices are a new and rapidly growing architectural model aimed at developing highly scalable software solutions based on independently deployable and evolvable components. Due to its novelty, microservice-related discussions are increasing in Q&A websites, such as StackOverflow (SO). In order to understand what is being discussed by the microservice community, this work has applied mining techniques and topic modelling to a manually-curated dataset of 1,043 microservice- related posts from StackOverflow. As a result, we found that 13.68% of microservice technical posts on SO discuss a single technology: Netflix Eureka. Moreover, buzzwords in the microservice ecosystem, e.g., blue/green deployment, were not identified as relevant subjects of discussion on SO. Finally, we show how a high discussion rate on SO may not reflect the popularity of a certain subject within the microservice community.

Sun 26 May

Displayed time zone: Eastern Time (US & Canada) change

16:00 - 18:00
Mining Challenge presentationsMSR 2019 Mining Challenge at Place du Canada
16:00
10m
Talk
SOTorrent: Studying the Origin, Evolution, and Usage of Stack Overflow Code Snippets
MSR 2019 Mining Challenge
A: Sebastian Baltes University of Trier, A: Christoph Treude The University of Adelaide, A: Stephan Diehl Computer Science, University Trier, Germany
Pre-print
16:10
7m
Talk
Mining Rule Violations in JavaScript Code Snippets
MSR 2019 Mining Challenge
Pre-print
16:17
7m
Talk
Snakes in Paradise?: Insecure Python-related Coding Practices in Stack Overflow
MSR 2019 Mining Challenge
Akond Rahman North Carolina State University, Effat Farhana , Nasif Imtiaz North Carolina State University
Pre-print
16:24
7m
Talk
Man vs Machine -- A Study into language identification of Stackoverflow code snippets
MSR 2019 Mining Challenge
Jens Dietrich Victoria University of Wellington, Markus Luczak-Roesch , Elroy Dalefield
Pre-print
16:31
7m
Talk
Python Coding Style Compliance on Stack Overflow
MSR 2019 Mining Challenge
Nikolaos Bafatakis , Niels Boecker , Wenjie Boon , Martin Cabello Salazar , Jens Krinke University College London, Gazi Oznacar , Robert White University College London, UK
Pre-print Media Attached
16:38
7m
Talk
Towards Mining Answer Edits to Extract Evolution Patterns in Stack Overflow
MSR 2019 Mining Challenge
Themistoklis Diamantopoulos Electrical and Computer Engineering Dept, Aristotle University of Thessaloniki, Maria-Ioanna Sifaki Electrical and Computer Engineering Dept, Aristotle University of Thessaloniki, Andreas Symeonidis Aristotle University of Thessaloniki
Pre-print Media Attached
16:45
7m
Talk
Analyzing Comment-induced Updates on Stack Overflow
MSR 2019 Mining Challenge
Abhishek Soni , Sarah Nadi University of Alberta
Pre-print
16:52
7m
Talk
What Edits Are Done on Highly Answered Stack Overflow Questions? An Empirical Study
MSR 2019 Mining Challenge
Xianhao Jin Virginia Tech, USA, Francisco Servant Virginia Tech
Pre-print
16:59
7m
Talk
Can Duplicate Posts on Stack Overflow Benefit the Software Development Community?
MSR 2019 Mining Challenge
Durham Abric McGill University, Oliver Clark , Matthew Caminiti , Keheliya Gallaba McGill University, Shane McIntosh McGill University
Pre-print
17:06
7m
Talk
How Often and What StackOverflow Posts Do Developers Reference in Their GitHub Projects?
MSR 2019 Mining Challenge
Saraj Singh Manes , Olga Baysal Carleton University
Pre-print
17:13
7m
Talk
Characterizing Duplicate Code Snippets between Stack Overflow and Tutorials
MSR 2019 Mining Challenge
Manziba Nishi , Agnieszka Ciborowska , Kostadin Damevski Virginia Commonwealth University
Pre-print
17:20
7m
Talk
Challenges with Responding to Static Analysis Tool Alerts
MSR 2019 Mining Challenge
Nasif Imtiaz North Carolina State University, Akond Rahman North Carolina State University, Effat Farhana , Laurie Williams North Carolina State University
Pre-print
17:27
7m
Talk
Impact of stack overflow code snippets on software cohesion: a preliminary study
MSR 2019 Mining Challenge
DOI Pre-print
17:34
7m
Talk
We Need to Talk about Microservices: an Analysis from the Discussions on StackOverflow
MSR 2019 Mining Challenge
Alan Bandeira , Carlos Filho , Matheus Paixao State University of Ceara, Brazil, Paulo Maia State University of Ceará
Pre-print Media Attached
17:41
7m
Talk
What do developers know about machine learning: a study of ML discussions on StackOverflow
MSR 2019 Mining Challenge
Hareem-e-Sahar , Abdul Ali Bangash University of Alberta, Canada, Alexander William Wong , Shaiful Chowdhury University of Alberta, Abram Hindle University of Alberta, Karim Ali University of Alberta
17:48
12m
Recap + voting
MSR 2019 Mining Challenge