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MSR 2019
Sun 26 - Mon 27 May 2019 Montreal, QC, Canada
co-located with ICSE 2019
Sun 26 May 2019 16:38 - 16:45 at Place du Canada - Mining Challenge presentations

The current state of practice dictates that in order to solve a problem encountered when building software, developers ask for help in online platforms, such as Stack Overflow. In this context of collaboration, answers to question posts often undergo several edits to provide the best solution to the problem stated. In this work, we explore the potential of mining Stack Overflow answer edits to extract common patterns when answering a post. In particular, we design a similarity scheme that takes into account the text and code of answer edits and cluster edits according to their semantics. Upon applying our methodology, we provide frequent edit patterns and indicate how they could be used to answer future research questions. Assessing our approach indicates that it can be effective for identifying commonly applied edits, thus illustrating the transformation path from the initial answer to the optimal solution.

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