How Often and What StackOverflow Posts Do Developers Reference in Their GitHub Projects? (MSR 2019 - Mining Challenge) - MSR 2019

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Sun 26 - Mon 27 May 2019 Montreal, QC, Canada

co-located with ICSE 2019

Who

Saraj Singh Manes, Olga Baysal

Track

MSR 2019 MSR Mining Challenge

Time Zone

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When

Sun 26 May 2019 17:06 - 17:13 at Place du Canada - Mining Challenge presentations

Abstract

Stack Overflow (SO) is a popular Q&A forum for software developers, providing a large amount of copyable code snippets. While GitHub is an independent code collaboration platform, developers often reuse SO code in their GitHub projects. In this paper, we investigate how often GitHub developers re-use code snippets from the SO forum, as well as what concepts they are more likely to reference in their code. To accomplish our goal, we mine SOTorrent dataset that provides connectivity between code snippets on the SO posts with software projects hosted on GitHub. We then study the characteristics of GitHub projects that reference SO posts and discover popular SO discussions that happen in GitHub projects. Our results demonstrate that on average developers make 45 references to SO posts in their projects, with the highest number of references being made within the JavaScript code. We also found that 79% of the SO posts with code snippets that are referenced in GitHub code do change over time (at least ones) raising code maintainability and reliability concerns.

Link to Preprint

http://olgabaysal.com/pdf/Manes_Baysal-MSRChallenge19_preprint.pdf

Saraj Singh Manes

Olga Baysal

Carleton University

Canada

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

Use conference time zone: (GMT-04:00) Eastern Time (US & Canada)Select 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

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 Uriel Ferreira Campos , Guilherme Smethurst , João Pedro Moraes , Rodrigo Bonifácio University of Brasília, Brazil, Gustavo Pinto UFPA 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 Mashal Ahmad , Mel Ó Cinnéide 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