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MSR 2021
Mon 17 - Wed 19 May 2021
co-located with ICSE 2021
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Mon 17 May

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

03:10 - 04:00
Welcome Event Technical Papers / Tutorials / MIP Award / FOSS Award / content / Mining Challenge / Hackathon / MSR Awards / Registered Reports / Data Showcase / Shadow PC / Keynotes at MSR Room 1

The MSR welcoming sessions will feature informal networking opportunities for newcomers to meet each other, learn about the MSR conference series, and interact with some established MSR veterans. All are welcome!

10:00 - 10:50
Resources for MSR ResearchTechnical Papers / Data Showcase at MSR Room 1
Chair(s): Felipe Ebert Eindhoven University of Technology
10:01
3m
Talk
PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
Technical Papers
Egor Spirin JetBrains Research; National Research University Higher School of Economics, Egor Bogomolov JetBrains Research, Vladimir Kovalenko JetBrains Research, Timofey Bryksin JetBrains Research, Saint Petersburg State University
Pre-print
10:04
3m
Talk
Mining DEV for social and technical insights about software development
Technical Papers
Maria Papoutsoglou Aristotle University of Thessaloniki, Johannes Wachs Vienna University of Economics and Business & Complexity Science Hub Vienna, Georgia Kapitsaki University of Cyprus
Pre-print
10:07
3m
Talk
TNM: A Tool for Mining of Socio-Technical Data from Git Repositories
Technical Papers
Nikolai Sviridov ITMO University, Mikhail Evtikhiev JetBrains Research, Vladimir Kovalenko JetBrains Research
Pre-print
10:10
3m
Talk
Identifying Versions of Libraries used in Stack Overflow Code Snippets
Technical Papers
Ahmed Zerouali Vrije Universiteit Brussel, Camilo Velázquez-Rodríguez Vrije Universiteit Brussel, Coen De Roover Vrije Universiteit Brussel
Pre-print Media Attached
10:13
3m
Talk
Sampling Projects in GitHub for MSR Studies
Data Showcase
Ozren Dabic Software Institute, Università della Svizzera italiana (USI), Switzerland, Emad Aghajani Software Institute, USI Università della Svizzera italiana, Gabriele Bavota Software Institute, USI Università della Svizzera italiana
Pre-print
10:16
3m
Talk
gambit – An Open Source Name Disambiguation Tool for Version Control Systems
Technical Papers
Christoph Gote Chair of Systems Design, ETH Zurich, Christian Zingg Chair of Systems Design, ETH Zurich
Pre-print Media Attached
10:19
31m
Live Q&A
Discussions and Q&A
Technical Papers

10:00 - 10:50
Testing and code reviewTechnical Papers / Data Showcase / Registered Reports at MSR Room 2
Chair(s): Jürgen Cito TU Wien and Facebook
10:01
3m
Talk
A Traceability Dataset for Open Source Systems
Data Showcase
Mouna Hammoudi JOHANNES KEPLER UNIVERSITY LINZ, Christoph Mayr-Dorn Johannes Kepler University, Linz, Atif Mashkoor Johannes Kepler University Linz, Alexander Egyed Johannes Kepler University
Media Attached
10:04
4m
Talk
How Java Programmers Test Exceptional Behavior
Technical Papers
Diego Marcilio USI Università della Svizzera italiana, Carlo A. Furia Università della Svizzera italiana (USI)
Pre-print
10:08
4m
Talk
An Exploratory Study of Log Placement Recommendation in an Enterprise System
Technical Papers
Jeanderson Cândido Delft University of Technology, Jan Haesen Adyen N.V., Maurício Aniche Delft University of Technology, Arie van Deursen Delft University of Technology, Netherlands
Pre-print Media Attached
10:12
3m
Talk
Does Code Review Promote Conformance? A Study of OpenStack Patches
Technical Papers
Panyawut Sri-iesaranusorn Nara Institute of Science and Technology, Raula Gaikovina Kula NAIST, Takashi Ishio Nara Institute of Science and Technology
Pre-print
10:15
4m
Talk
A Replication Study on the Usability of Code Vocabulary in Predicting Flaky Tests
Technical Papers
Guillaume Haben University of Luxembourg, Sarra Habchi University of Luxembourg, Luxembourg, Mike Papadakis University of Luxembourg, Luxembourg, Maxime Cordy University of Luxembourg, Luxembourg, Yves Le Traon University of Luxembourg, Luxembourg
Pre-print Media Attached
10:19
3m
Talk
On the Use of Mutation in Injecting Test Order-Dependency
Registered Reports
Sarra Habchi University of Luxembourg, Luxembourg, Maxime Cordy University of Luxembourg, Luxembourg, Mike Papadakis University of Luxembourg, Luxembourg, Yves Le Traon University of Luxembourg, Luxembourg
Pre-print Media Attached
10:22
28m
Live Q&A
Discussions and Q&A
Technical Papers

11:10 - 12:00
Welcome Event Technical Papers / Tutorials / MIP Award / FOSS Award / content / Mining Challenge / Hackathon / MSR Awards / Registered Reports / Data Showcase / Shadow PC / Keynotes at MSR Room 1

The MSR welcoming sessions will feature informal networking opportunities for newcomers to meet each other, learn about the MSR conference series, and interact with some established MSR veterans. All are welcome!

17:00 - 17:50
Mining Challenge SessionMining Challenge / Technical Papers at MSR Room 1
Chair(s): Miltiadis Allamanis Microsoft Research, UK, Rafael-Michael Karampatsis The University of Edinburgh, Charles Sutton Google Research
17:01
2m
Welcome by the Mining Challenge Co-chairs
Mining Challenge
Miltiadis Allamanis Microsoft Research, UK, Rafael-Michael Karampatsis The University of Edinburgh, Charles Sutton Google Research
17:03
3m
Talk
A large-scale study on human-cloned changes for automated program repair
Mining Challenge
Fernanda Madeiral KTH Royal Institute of Technology, Thomas Durieux KTH Royal Institute of Technology, Sweden
Link to publication Pre-print
17:06
3m
Talk
Applying CodeBERT for Automated Program Repair of Java Simple Bugs
Mining Challenge
Ehsan Mashhadi University of Calgary, Hadi Hemmati University of Calgary
Pre-print Media Attached
17:09
3m
Talk
PySStuBs: Characterizing Single-Statement Bugs in Popular Open-Source Python Projects
Mining Challenge
Arthur Veloso Kamienski University of Alberta, Luisa Palechor University of Alberta, Abram Hindle University of Alberta, Cor-Paul Bezemer University of Alberta
Pre-print
17:12
3m
Talk
How Effective is Continuous Integration in Indicating Single-Statement Bugs?
Mining Challenge
Jasmine Latendresse Concordia University, Rabe Abdalkareem Queens University, Kingston, Canada, Diego Costa Concordia University, Canada, Emad Shihab Concordia University
Pre-print
17:15
3m
Talk
Mea culpa: How developers fix their own simple bugs differently from other developers
Mining Challenge
Wenhan Zhu University of Waterloo, Michael W. Godfrey University of Waterloo, Canada
Pre-print
17:18
3m
Talk
On the Distribution of "Simple Stupid Bugs" in Unit Test Files: An Exploratory Study
Mining Challenge
Anthony Peruma Rochester Institute of Technology, Christian D. Newman Rochester Institute of Technology
Pre-print Media Attached
17:21
3m
Talk
On the Rise and Fall of Simple Stupid Bugs: a Life-Cycle Analysis of SStuBs
Mining Challenge
Balázs Mosolygó University of Szeged, Norbert Vándor University of Szeged, Gabor Antal University of Szeged, Peter Hegedus University of Szeged
Pre-print
17:24
3m
Talk
On the Effectiveness of Deep Vulnerability Detectors to Simple Stupid Bug Detection
Mining Challenge
Jiayi Hua Beijing University of Posts and Telecommunications, Haoyu Wang Beijing University of Posts and Telecommunications
Pre-print
17:27
23m
Live Q&A
Discussions and Q&A
Technical Papers

18:10 - 19:00
Keynote: Nicole Forsgren Technical Papers at MSR Room 1

Tue 18 May

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

02:00 - 02:50
Keynote: Leslie MileyTechnical Papers at MSR Room 1
03:10 - 04:00
Technical Debt and SmellsTechnical Papers / Data Showcase at MSR Room 1
Chair(s): Gema Rodríguez-Pérez University of Waterloo
03:11
4m
Talk
Technical Debt in the Peer-Review Documentation of R Packages: a rOpenSci Case Study
Technical Papers
Zadia Codabux University of Saskatchewan, Melina Vidoni RMIT University, Fatemeh Hendijani Fard University of British Columbia
Pre-print
03:15
3m
Talk
QScored: A Large Dataset of Code Smells and Quality Metrics
Data Showcase
Tushar Sharma Siemens Research, Marouane Kessentini University of Michigan
Pre-print
03:18
3m
Talk
Architecture Smells and Pareto Principle: A Preliminary Empirical Exploration
Technical Papers
Pre-print
03:21
4m
Talk
Self-Admitted Technical Debt in R Packages: An Exploratory Study
Technical Papers
Melina Vidoni RMIT University
Pre-print
03:25
4m
Full-paper
An Empirical Study of Developer Discussions on Low Code Software Development Challenges
Technical Papers
Md Abdullah Al Alamin University of Calgary, Sanjay Malakar Bangladesh University of Engineering and Technology, Gias Uddin University of Calgary, Canada, Sadia Afroz Bangladesh University of Engineering and Technology, Tameem Bin Haider Bangladesh University of Engineering and Technology, Anindya Iqbal Bangladesh University of Engineering and Technology Dhaka, Bangladesh
Pre-print
03:29
31m
Live Q&A
Discussions and Q&A
Technical Papers

03:10 - 04:00
Time series dataData Showcase / Technical Papers at MSR Room 2
Chair(s): Shane McIntosh University of Waterloo
03:11
3m
Talk
AndroCT: Ten Years of App Call Traces in Android
Data Showcase
Wen Li , Xiaoqin Fu Washington State University, Haipeng Cai Washington State University, USA
Pre-print Media Attached
03:14
4m
Talk
Mining Workflows for Anomalous Data Transfers
Technical Papers
Huy Tu North Carolina State University, USA, George Papadimitriou University of Southern California, Mariam Kiran ESnet, LBNL, Cong Wang Renaissance Computing Institute, Anirban Mandal Renaissance Computing Institute, Ewa Deelman University of Southern California, Tim Menzies North Carolina State University, USA
Pre-print
03:18
4m
Talk
Escaping the Time Pit: Pitfalls and Guidelines for Using Time-Based Git Data
Technical Papers
Samuel W. Flint University of Nebraska-Lincoln, Jigyasa Chauhan University of Nebraska-Lincoln, Robert Dyer University of Nebraska-Lincoln
Pre-print Media Attached
03:22
4m
Paper
On the Naturalness and Localness of Software Logs
Technical Papers
Sina Gholamian University of Waterloo, Paul A. S. Ward University of Waterloo
Pre-print
03:26
4m
Talk
How Do Software Developers Use GitHub Actions to Automate Their Workflows?
Technical Papers
Timothy Kinsman University of Adelaide, Mairieli Wessel University of Sao Paulo, Marco Gerosa Northern Arizona University, USA, Christoph Treude University of Adelaide
Pre-print
03:30
30m
Live Q&A
Discussions and Q&A
Technical Papers

10:00 - 10:50
Developer communicationsTechnical Papers / Data Showcase at MSR Room 1
Chair(s): Hourieh Khalajzadeh Monash University, Australia
10:01
3m
Talk
Waiting around or job half-done? Sentiment in self-admitted technical debt
Technical Papers
Gianmarco Fucci University of Sannio, Nathan Cassee Eindhoven University of Technology, Fiorella Zampetti University of Sannio, Italy, Nicole Novielli University of Bari, Alexander Serebrenik Eindhoven University of Technology, Massimiliano Di Penta University of Sannio, Italy
Pre-print Media Attached
10:04
4m
Research paper
Automatically Selecting Follow-up Questions for Deficient Bug Reports
Technical Papers
Mia Mohammad Imran Virginia Commonwealth University, Agnieszka Ciborowska Virginia Commonwealth University, Kostadin Damevski Virginia Commonwealth University
Pre-print
10:08
4m
Talk
Challenges in Developing Desktop Web Apps: a Study of Stack Overflow and GitHub
Technical Papers
Gian Luca Scoccia University of L'Aquila, Patrizio Migliarini DISIM, University of L'Aquila, Marco Autili University of L'Aquila, Italy
Pre-print
10:12
3m
Talk
Search4Code: Code Search Intent Classification Using Weak Supervision
Data Showcase
Nikitha Rao Microsoft Research, Chetan Bansal Microsoft Research, Joe Guan Microsoft
Pre-print
10:15
35m
Live Q&A
Discussions and Q&A
Technical Papers

10:00 - 10:50
ML and Deep LearningTechnical Papers / Data Showcase / Registered Reports at MSR Room 2
Chair(s): Hongyu Zhang The University of Newcastle
10:01
4m
Talk
Fast and Memory-Efficient Neural Code Completion
Technical Papers
Alexey Svyatkovskiy Microsoft, Sebastian Lee University of Oxford, Anna Hadjitofi Alan Turing Institute, Maik Riechert Microsoft Research, Juliana Vicente Franco Microsoft Research, Miltiadis Allamanis Microsoft Research, UK
Pre-print Media Attached
10:05
4m
Research paper
Comparative Study of Feature Reduction Techniques in Software Change Prediction
Technical Papers
Ruchika Malhotra Delhi Technological University, Ritvik Kapoor Delhi Technological University, Deepti Aggarwal Delhi Technological University, Priya Garg Delhi Technological University
Pre-print
10:09
4m
Talk
An Empirical Study on the Usage of BERT Models for Code Completion
Technical Papers
Matteo Ciniselli Università della Svizzera Italiana, Nathan Cooper William & Mary, Luca Pascarella Università della Svizzera italiana (USI), Denys Poshyvanyk College of William & Mary, Massimiliano Di Penta University of Sannio, Italy, Gabriele Bavota Software Institute, USI Università della Svizzera italiana
Pre-print
10:13
3m
Talk
ManyTypes4Py: A benchmark Python dataset for machine learning-based type inference
Data Showcase
Amir Mir Delft University of Technology, Evaldas Latoskinas Delft University of Technology, Georgios Gousios Facebook & Delft University of Technology
Pre-print
10:16
3m
Talk
KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle
Data Showcase
Luigi Quaranta University of Bari, Italy, Fabio Calefato University of Bari, Filippo Lanubile University of Bari
10:19
3m
Talk
Exploring the relationship between performance metrics and cost saving potential of defect prediction models
Registered Reports
Steffen Herbold University of Göttingen
Pre-print
10:22
28m
Live Q&A
Discussions and Q&A
Technical Papers

11:10 - 12:00
11:10
50m
Tutorial
PyDriller 1.0 -- Ready to grow together
Tutorials
Alberto Bacchelli University of Zurich, Maurício Aniche Delft University of Technology
Pre-print
17:00 - 17:50
HackathonTechnical Papers / Hackathon at MSR Room 1
Chair(s): Jim Herbsleb Carnegie Mellon University, Audris Mockus The University of Tennessee, Alexander Nolte University of Tartu
17:01
2m
Welcome by the MSR Hackathon Co-Chairs
Hackathon
Jim Herbsleb Carnegie Mellon University, Audris Mockus The University of Tennessee, Alexander Nolte University of Tartu
17:03
3m
Talk
An Exploratory Study of Project Activity Changepoints in Open Source Software Evolution
Hackathon
James Walden Northern Kentucky University, Noah Burgin, Kuljit Kaur Chahal Kaur
17:06
3m
Paper
The Diversity-Innovation Paradox in Open-Source Software
Hackathon
Mengchen Sam Yong Carnegie Mellon University, Pittsburgh, Pennsylvania, United States, Lavinia Francesca Paganini Federal University of Pernambuco, Huilian Sophie Qiu Carnegie Mellon University, Pittsburgh, Pennsylvania, United States, José Bayoán Santiago Calderón University of Virginia, USA
DOI Pre-print
17:09
4m
Talk
The Secret Life of Hackathon Code
Technical Papers
Ahmed Samir Imam Mahmoud University of Tartu, Tapajit Dey Lero - The Irish Software Research Centre and University of Limerick, Alexander Nolte University of Tartu, Audris Mockus The University of Tennessee, Jim Herbsleb Carnegie Mellon University
Pre-print
17:13
3m
Talk
Tracing Vulnerable Code Lineage
Hackathon
David Reid University of Tennessee, Kalvin Eng University of Alberta, Chris Bogart Carnegie Mellon University, Adam Tutko University of Tennessee - Knoxville
Pre-print
17:16
3m
Talk
Building the Collaboration Graph of Open-Source Software Ecosystem
Hackathon
Elena Lyulina JetBrains Research, Mahmoud Jahanshahi
Pre-print
17:19
1m
Talk
The Secret Life of Hackathon Code
Hackathon
Ahmed Samir Imam Mahmoud University of Tartu, Tapajit Dey Lero - The Irish Software Research Centre and University of Limerick
Pre-print
17:20
30m
Live Q&A
Discussions and Q&A
Technical Papers

17:00 - 17:50
TestingTechnical Papers / Data Showcase at MSR Room 2
Chair(s): Abram Hindle University of Alberta
17:01
4m
Talk
What Code Is Deliberately Excluded from Test Coverage and Why?
Technical Papers
Pre-print
17:05
3m
Talk
AndroR2: A Dataset of Manually-Reproduced Bug Reports for Android apps
Data Showcase
Tyler Wendland University of Minnesota, Jingyang Sun University of Bristish Columbia, Junayed Mahmud George Mason University, S M Hasan Mansur George Mason University, Steven Huang University of Bristish Columbia, Kevin Moran George Mason University, Julia Rubin University of British Columbia, Canada, Mattia Fazzini University of Minnesota
17:08
3m
Talk
Apache Software Foundation Incubator Project Sustainability Dataset
Data Showcase
Likang Yin University of California, Davis, Zhiyuan Zhang University of California, Davis, Qi Xuan Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou 310023, China, Vladimir Filkov University of California at Davis, USA
17:11
4m
Talk
Leveraging Models to Reduce Test Cases in Software Repositories
Technical Papers
Golnaz Gharachorlu Simon Fraser University, Nick Sumner Simon Fraser University
Pre-print Media Attached
17:15
4m
Talk
Which contributions count? Analysis of attribution in open source
Technical Papers
Jean-Gabriel Young University of Vermont, Amanda Casari Open Source Programs Office, Google, Katie McLaughlin Open Source Programs Office, Google, Milo Trujillo University of Vermont, Laurent Hébert-Dufresne University of Vermont, James P. Bagrow University of Vermont
Pre-print Media Attached
17:19
4m
Talk
On Improving Deep Learning Trace Analysis with System Call Arguments
Technical Papers
Quentin Fournier Polytechnique Montréal, Daniel Aloise Polytechnique Montréal, Seyed Vahid Azhari Ciena, François Tetreault Ciena
Pre-print
17:23
27m
Live Q&A
Discussions and Q&A
Technical Papers

Wed 19 May

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

02:00 - 02:50
02:01
4m
Talk
Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models
Technical Papers
Jirayus Jiarpakdee Monash University, Australia, Chakkrit Tantithamthavorn Monash University, John Grundy Monash University
Pre-print
02:05
3m
Talk
On the Effectiveness of Deep Vulnerability Detectors to Simple Stupid Bug Detection
Mining Challenge
Jiayi Hua Beijing University of Posts and Telecommunications, Haoyu Wang Beijing University of Posts and Telecommunications
Pre-print
02:08
4m
Talk
An Empirical Study of OSS-Fuzz Bugs
Technical Papers
Zhen Yu Ding Motional, Claire Le Goues Carnegie Mellon University
Pre-print
02:12
3m
Talk
Denchmark: A Bug Benchmark of Deep Learning-related Software
Data Showcase
Misoo Kim Sungkyunkwan University, Youngkyoung Kim Sungkyunkwan University, Eunseok Lee Sungkyunkwan University
02:15
4m
Talk
JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction
Technical Papers
Chanathip Pornprasit Monash University, Chakkrit Tantithamthavorn Monash University
Pre-print
02:19
31m
Live Q&A
Discussions and Q&A
Technical Papers

02:00 - 02:50
NLPRegistered Reports / Technical Papers at MSR Room 2
Chair(s): Chunyang Chen Monash University
02:01
4m
Talk
Automatic Part-of-Speech Tagging for Security Vulnerability Descriptions
Technical Papers
Sofonias Yitagesu Tianjin University, Xiaowang Zhang Tianjin University, Zhiyong Feng Tianjin University, Li Xiaohong TianJin University, Zhenchang Xing Australian National University
Pre-print
02:05
4m
Talk
Attention-based model for predicting question relatedness on Stack Overflow
Technical Papers
Jiayan Pei South China University of Technology, Yimin Wu South China University of Technology, Research Institute of SCUT in Yangjiang, Zishan Qin South China University of Technology, Yao Cong South China University of Technology, Jingtao Guan Research Institute of SCUT in Yangjiang
Pre-print
02:09
4m
Talk
Characterising the Knowledge about Primitive Variables in Java Code Comments
Technical Papers
Mahfouth Alghamdi The University of Adelaide, Shinpei Hayashi Tokyo Institute of Technology, Takashi Kobayashi Tokyo Institute of Technology, Christoph Treude University of Adelaide
Pre-print
02:13
4m
Talk
Googling for Software Development: What Developers Search For and What They Find
Technical Papers
Pre-print
02:17
3m
Talk
Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews
Registered Reports
Mohammad Abdul Hadi University of British Columbia, Fatemeh Hendijani Fard University of British Columbia
Pre-print
02:20
3m
Talk
Cross-status Communication and Project Outcomes in OSS Development–A Language Style Matching Perspective
Registered Reports
Yisi Han Nanjing University, Zhendong Wang University of California, Irvine, Yang Feng State Key Laboratory for Novel Software Technology, Nanjing University, Zhihong Zhao Nanjing Tech Unniversity, Yi Wang Beijing University of Posts and Telecommunications
Pre-print
02:23
27m
Live Q&A
Discussions and Q&A
Technical Papers

03:10 - 04:00
03:10
50m
Tutorial
Elasticsearch Full-Text Search Internals
Tutorials
10:00 - 10:50
DatasetsData Showcase / Technical Papers at MSR Room 1
Chair(s): Sridhar Chimalakonda Indian Institute of Technology Tirupati
10:01
3m
Talk
AndroidCompass: A Dataset of Android Compatibility Checks in Code Repositories
Data Showcase
Sebastian Nielebock Otto-von-Guericke University Magdeburg, Germany, Paul Blockhaus Otto-von-Guericke-University Magdeburg, Germany, Jacob Krüger Otto von Guericke University Magdeburg, Frank Ortmeier Otto-von-Guericke-University Magdeburg, Faculty of Computer Science, Chair of Software Engineering
Pre-print Media Attached
10:04
3m
Talk
GE526: A Dataset of Open Source Game Engines
Data Showcase
Dheeraj Vagavolu Indian Institute of Technology Tirupati, Vartika Agrahari Indian Institute of Technology Tirupati, Sridhar Chimalakonda Indian Institute of Technology Tirupati, Akhila Sri Manasa Venigalla IIT Tirupati, India
10:07
3m
Talk
Andromeda: A Dataset of Ansible Galaxy Roles and Their Evolution
Data Showcase
Ruben Opdebeeck Vrije Universiteit Brussel, Ahmed Zerouali Vrije Universiteit Brussel, Coen De Roover Vrije Universiteit Brussel
10:10
3m
Talk
The Wonderless Dataset for Serverless Computing
Data Showcase
Nafise Eskandani TU Darmstadt, Guido Salvaneschi University of St. Gallen
Pre-print
10:13
3m
Talk
DUETS: A Dataset of Reproducible Pairs of Java Library-Clients
Data Showcase
Thomas Durieux KTH Royal Institute of Technology, Sweden, César Soto-Valero KTH Royal Institute of Technology, Benoit Baudry KTH Royal Institute of Technology
Pre-print
10:16
3m
Talk
EQBENCH: A Dataset of Equivalent and Non-equivalent Program Pairs
Data Showcase
Sahar Badihi University of British Columbia, Canada, Yi Li Nanyang Technological University, Singapore, Julia Rubin University of British Columbia, Canada
10:19
31m
Live Q&A
Discussions and Q&A
Technical Papers

10:00 - 10:50
Dependencies and OSSTechnical Papers / Registered Reports at MSR Room 2
Chair(s): Luca Pascarella Delft University of Technology
10:01
3m
Talk
Identifying Critical Projects via PageRank and Truck Factor
Technical Papers
Rolf-Helge Pfeiffer IT University of Copenhagen
Pre-print
10:04
4m
Talk
Revisiting Dockerfiles in Open Source Software Over Time
Technical Papers
Kalvin Eng University of Alberta, Abram Hindle University of Alberta
Pre-print
10:08
3m
Talk
Does the First-Response Matter for Future Contributions? A Study of First Contributions
Registered Reports
Noppadol Assavakamhaenghan Nara Institute of Science and Technology, Supatsara Wattanakriengkrai Nara Institute of Science and Technology, Naomichi Shimada Nara Institute of Science and Technology, Raula Gaikovina Kula NAIST, Takashi Ishio Nara Institute of Science and Technology, Kenichi Matsumoto Nara Institute of Science and Technology
Pre-print
10:11
4m
Talk
Data Balancing Improves Self-Admitted Technical Debt Detection
Technical Papers
Murali Sridharan University of Oulu, Leevi Rantala University of Oulu, Maëlick Claes University of Oulu, Mika Mäntylä University of Oulu
Pre-print
10:15
35m
Live Q&A
Discussions and Q&A
Technical Papers

17:00 - 17:50
Energy, logging, and APIsTechnical Papers at MSR Room 1
Chair(s): Akond Rahman Tennessee Tech University
17:01
3m
Talk
S3M: Siamese Stack (Trace) Similarity Measure
Technical Papers
Aleksandr Khvorov JetBrains, ITMO University, Roman Vasiliev JetBrains, George Chernishev Saint-Petersburg State University, Irving Muller Rodrigues Polytechnique Montreal, Montreal, Canada, Dmitrij Koznov Saint-Petersburg State University, Nikita Povarov JetBrains
Pre-print
17:04
4m
Talk
Mining the ROS ecosystem for Green Architectural Tactics in Robotics and an Empirical Evaluation
Technical Papers
Ivano Malavolta Vrije Universiteit Amsterdam, Katerina Chinnappan Vrije Universiteit Amsterdam, Stan Swanborn Vrije Universiteit Amsterdam, The Netherlands, Grace Lewis Carnegie Mellon Software Engineering Institute, Patricia Lago Vrije Universiteit Amsterdam
Pre-print Media Attached
17:08
4m
Talk
Mining Energy-Related Practices in Robotics Software
Technical Papers
Michel Albonico UTFPR, Ivano Malavolta Vrije Universiteit Amsterdam, Gustavo Pinto Federal University of Pará, Emitzá Guzmán Vrije Universiteit Amsterdam, Katerina Chinnappan Vrije Universiteit Amsterdam, Patricia Lago Vrije Universiteit Amsterdam
Pre-print Media Attached
17:12
3m
Talk
Mining API Interactions to Analyze Software Revisions for the Evolution of Energy Consumption
Technical Papers
Andreas Schuler University of Applied Sciences Upper Austria, Gabriele Anderst-Kotsis Johannes Kepler University, Linz, Austria
Pre-print
17:15
4m
Talk
Can I Solve it? Identifying the APIs required to complete OSS tasks
Technical Papers
Fabio Marcos De Abreu Santos Northern Arizona University, USA, Igor Scaliante Wiese Federal University of Technology – Paraná - UTFPR, Bianca Trinkenreich Northern of Arizona Univeristy, Igor Steinmacher Federal University of Technology - Paraná / Northern Arizona University, Anita Sarma Oregon State University, Marco Gerosa Northern Arizona University, USA
Pre-print
17:19
31m
Live Q&A
Discussions and Q&A
Technical Papers

17:00 - 17:50
Change Management and AnalysisTechnical Papers / Registered Reports at MSR Room 2
Chair(s): Sarah Nadi University of Alberta
17:01
4m
Talk
Studying the Change Histories of Stack Overflow and GitHub Snippets
Technical Papers
Saraj Singh Manes Carleton University, Olga Baysal Carleton University
Pre-print
17:05
4m
Talk
Learning Off-By-One Mistakes: An Empirical Study
Technical Papers
Hendrig Sellik Delft University of Technology, Onno van Paridon Adyen N.V., Georgios Gousios Facebook & Delft University of Technology, Maurício Aniche Delft University of Technology
Pre-print
17:09
4m
Talk
Predicting Design Impactful Changes in Modern Code Review: A Large-Scale Empirical Study
Technical Papers
Anderson Uchôa Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Caio Barbosa Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Daniel Coutinho Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Willian Oizumi Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Wesley Assunção Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Silvia Regina Vergilio Federal University of Paraná, Juliana Alves Pereira PUC-Rio, Anderson Oliveira PUC-Rio, Alessandro Garcia PUC-Rio
Pre-print
17:13
4m
Talk
Rollback Edit Inconsistencies in Developer Forum
Technical Papers
Saikat Mondal University of Saskatchewan, Gias Uddin University of Calgary, Canada, Chanchal K. Roy University of Saskatchewan
Pre-print
17:17
3m
Talk
Assessing the Exposure of Software Changes: The DiPiDi Approach
Registered Reports
Mehran Meidani University of Waterloo, Maxime Lamothe University of Waterloo, Shane McIntosh
Pre-print
17:20
4m
Talk
On the Use of Dependabot Security Pull Requests
Technical Papers
Mahmoud Alfadel Concordia Univerisity, Diego Costa Concordia University, Canada, Emad Shihab Concordia University, Mouafak Mkhallalati Concordia University
Pre-print
17:24
26m
Live Q&A
Discussions and Q&A
Technical Papers

Scope

The technical track of MSR 2021 solicits high-quality submissions on a wide range of topics related to artificial intelligence (AI), machine learning (ML), and data science (DS) in one or more of the following three main themes.

1. AI/ML/DS and SE

The analysis should aim to improve understanding of development processes and practices or aid in the development of new techniques or models to support software developers. This includes (but is not limited to) analysis or models for:

  • commits,
  • execution traces and logs,
  • interaction data,
  • code review data,
  • natural language artifacts,
  • software licenses and copyrights,
  • app store data,
  • programming language features,
  • release information,
  • CI logs,
  • deployment and delivery,
  • test data,
  • runtime information,
  • software ecosystems,
  • defect and software quality data,
  • human and social aspects of development,
  • development process,
  • energy profile data.
2. New techniques, tools, and models.

The techniques, tools, and models should facilitate new ways to mine, analyze, or model software data. A submission could include (but is not limited to) techniques, tools, or models to:

  • capture new forms of data,
  • integrate data from multiple sources,
  • visualize software data,
  • model software data,
  • solve SE problems,
  • improve AI/ML/DS.
3. Considerations related to AI/ML/DS and SE.

These submissions should reflect on the current state-of-the-art research methods or current practices in mining, analyzing, or modeling software data. These submissions can also propose new research methods or guidelines. This theme includes topics such as (but not limited to)

  • privacy of collected data,
  • ethics of mining, analyzing, or modelling software data,
  • biases in software data, analyses, and tools,
  • fairness in software data, analyses, and tools,
  • Replication studies.

Call for Papers

The Mining Software Repositories (MSR) conference is the premier conference for data science, machine learning, and artificial intelligence in software engineering. The goal of the conference is to improve software engineering practices by uncovering interesting and actionable information about software systems and projects using the vast amounts of software data such as source control systems, defect tracking systems, code review repositories, archived communications between project personnel, question-and-answer sites, CI build servers, and run-time telemetry. Mining this information can help to understand software development and evolution, software users, and runtime behavior; support the maintenance of software systems; improve software design/reuse; empirically validate novel ideas and techniques; support predictions about software development; and exploit this knowledge in planning future development. The goal of this two-day international conference is to advance the science and practice of software engineering with data-driven techniques. The 18th International Conference on Mining Software Repositories will be held virtually during the week of May 17, 2021.

Types of Technical Track Submissions

We accept both full (10 pages plus 2 additional pages of references) and short (4 pages plus 1 additional page of references) papers. Furthermore, in order to facilitate the reviewing process of your paper’s contribution, you should select one of the following paper categories:

1. Research Paper

Full research papers are expected to describe new methodologies and/or provide novel research results, and should be evaluated scientifically. While a high degree of technical rigor is expected for long papers, short research papers should discuss controversial issues in the field, or describe interesting or thought-provoking ideas that are not yet fully developed. Accepted short papers will be presented in a short lightning talk. Relevant review criteria:

  • soundness of approach
  • relevance to software engineering
  • clarity of relation with related work
  • quality of presentation
  • quality of evaluation [for long papers]
  • ability to replicate [for long papers]
  • novelty

2. Practice Experience

MSR encourages the submission of papers that report on both positive and negative experiences of applying software analytics strategies in an industry/open source organization context. Adapting existing algorithms or proposing new algorithms or approaches for practical use are considered a plus. Relevant review criteria:

  • quality of empirical evaluation
  • explicit discussion on the usefulness/impact of the approach in practice
  • explicit discussion of any adaptations required by the application of existing/new approach in practice
  • quality of presentation • relevance to software engineering • clarity of relation with related work

3. Reusable Tool

MSR actively promotes and recognizes the creation and use of tools that are designed and built not only for a specific research project, but for the MSR community as a whole. Those tools enable other researchers to jumpstart their own research efforts, and also enable reproducibility of earlier work. Reusable Tool papers can be descriptions of tools built by the authors that can be used by other researchers, and/or descriptions of the use of tools built by others to obtain specific research results. Relevant review criteria:

  • evaluation of usefulness/reusability of the tool [for long papers]
  • novelty
  • quality of presentation (details on tool’s internals, usage, etc.)
  • relevance to software engineering
  • clarity of relation with related work
  • availability of the tool, clear installation instructions and example data set that allow the reviewers to run the tool

Submission Process

Submissions to the Technical Track can be made via the submission site by the submission deadline. We encourage authors to upload their paper info early (the PDF can be submitted later) to properly enter conflicts for double-blind reviewing. All submissions must adhere to the following requirements:

  • Submissions must not exceed the page limit (10 pages plus 2 additional pages of references for full papers; 4 pages plus 1 additional page of references for short papers). The page limit is strict, and it will not be possible to purchase additional pages at any point in the process (including after acceptance).
  • Submissions must conform to the IEEE formatting instructions IEEE Conference Proceedings Formatting Guidelines (title in 24pt font and full text in 10pt type, LaTeX users must use \documentclass[10pt,conference]{IEEEtran} without including the compsoc or compsocconf options).
  • Submissions must not reveal the authors’ identities. The authors must make every effort to honor the double-blind review process. In particular, the authors’ names must be omitted from the submission and references to their prior work should be in the third person. Further advice, guidance, and explanation about the double-blind review process can be found in the Q&A page for ICSE 2021.

Any submission that does not comply with these requirements is likely to be desk rejected by the Technical Track PC Chairs without further review. In addition, by submitting to the MSR Technical Track, the authors acknowledge that they are aware of and agree to be bound by the following policies:

  • The ACM Policy and Procedures on Plagiarism and the IEEE Plagiarism FAQ. In particular, papers submitted to MSR 2021 must not have been published elsewhere and must not be under review or submitted for review elsewhere whilst under consideration for MSR 2021. Contravention of this concurrent submission policy will be deemed a serious breach of scientific ethics, and appropriate action will be taken in all such cases (including immediate rejection and reporting of the incident to ACM/IEEE). To check for double submission and plagiarism issues, the chairs reserve the right to (1) share the list of submissions with the PC Chairs of other conferences with overlapping review periods and (2) use external plagiarism detection software, under contract to the ACM or IEEE, to detect violations of these policies.
  • The authorship policy of the ACM and the authorship policy of the IEEE.

Upon notification of acceptance, all authors of accepted papers will be asked to fill a copyright form and will receive further instructions for preparing the camera-ready version of their papers. At least one author of each paper is expected to register and present the paper at the MSR 2021 conference. All accepted contributions will be published in the electronic proceedings of the conference.

A selection of the best papers will be invited to an Empirical Software Engineering (EMSE) Special Issue. The authors of accepted papers that show outstanding contributions to the FOSS community will have a chance to self-nominate their paper for the MSR FOSS Impact Paper Award. Please note that providing a replication package is strongly recommended even in double-blind submissions, since not providing one effectively hinders the peer-review process. Since access to data and scripts is essential during peer review, we strongly recommend to archive data sets on online archival sites such as dropbox.com, zenodo.org or figshare.com (Instructions available in Open Science Policy below). The latter two even allow to receive a DOI and hence become citable.

Submission Link

Technical papers must be submitted through HotCRP: https://msr2021-technical.hotcrp.com/

Shadow PC

This year we are trialing a process called Shadow PC. In this process, we are going to recruit and train the next generation of MSR researchers on reviewing MSR papers. The primary audience would be PhD students and Post Docs who have not been in the MSR PC before. They will review papers submitted to MSR and have a parallel program committee. We will have experienced MSR researchers look at the reviews and comments and give feedback to the Shadow PC. This has been done in other venues like EuroSys and USENIX.

Since this is the first time, we are requesting authors to volunteer their paper to be reviewed by the Shadow PC. This is purely a learning experience, and the reviews from the Shadow PC will not be visible to the regular PC and will not impact the decision of the paper in MSR. The authors may request the reviews from the Shadow PC. The reviews and comments will be in a completely different HotCRP installation to prevent any cross-over. Therefore, we are requesting authors to please volunteer their papers. There will be an option in the submission page for this. When you volunteer you are not only helping future generations of MSR researchers become better reviewers, but you also will get more feedback on your work.

Important Dates

  • Abstract Deadline: Tuesday, January 5, 2021, 23:59 AOE
  • Papers Deadline: Tuesday, January 12, 2021, 23:59 AOE (No deadline extension or grace periods will be provided. Please plan accordingly)
  • Author Response Period: February 10 - 12, 2021
  • Author Notification: Monday, February 22, 2021
  • Camera Ready: Monday, March 22, 2021, 23:59 AOE

Open Science Policy

Openness in science is key to fostering progress via transparency, reproducibility and replicability. Our steering principle is that all research output should be accessible to the public and that empirical studies should be reproducible. In particular, we actively support the adoption of open data and open source principles. The following guidelines are recommendations and not mandatory. Your choice to use open science or not will not affect the review process for your paper. However, to increase reproducibility and replicability, we encourage all contributing authors to disclose:

  • the source code of relevant software used or proposed in the paper, including that used to retrieve and analyze data
  • the data used in the paper (e.g., evaluation data, anonymized survey data, etc.)
  • instructions for other researchers describing how to reproduce or replicate the results

Already upon submission, authors can privately share their anonymized data and software on preserved archives such as Zenodo or Figshare (tutorial available hereplease make sure that any links shared during peer review are anonymized). Zenodo accepts up to 50GB per dataset (more upon request). There is no need to use Dropbox or Google Drive. Once accepted, an option can be toggled to publish the data and scripts with an official DOI. Zenodo and Figshare accounts can easily be linked with GitHub repositories to automatically archive software releases. In the unlikely case that authors need to upload terabytes of data, Archive.org may be used.

After acceptance, we encourage authors to self-archive pre-prints of their papers in open, preserved repositories such as arXiv.org. This is legal and allowed by all major publishers including ACM and IEEE, and it lets anybody in the world reach your paper. Note that you are usually not allowed to self-archive the PDF of the published article (that is, the publisher proof or the Digital Library version). Instead, use the manuscript with reviewer comments addressed, but before applying the camera-ready instructions and templates. Feel free to contact the MSR 2021 PC or proceedings chairs for more details. We recognise that anonymising artifacts such as source code is more difficult than preserving anonymity in a paper. We ask authors to take a best effort approach to not reveal their identities. We will also ask reviewers to avoid trying to identify authors by looking at commit histories and other such information that is not easily anonymised. Authors wanting to share GitHub repositories may want to look into using https://anonymous.4open.science/ which is an open source tool that helps you to quickly double-blind your repository. Please note that the success of the open science initiative depends on the willingness (and possibilities) of authors to disclose their data and that all submissions will undergo the same review process independent of whether or not they disclose their analysis code or data. We encourage authors who cannot disclose industrial or otherwise non-public data, for instance due to non-disclosure agreements, to provide an explicit (short) statement in the paper.

Accepted Papers

Title
A Replication Study on the Usability of Code Vocabulary in Predicting Flaky Tests
Technical Papers
Pre-print Media Attached
An Empirical Study of Developer Discussions on Low Code Software Development Challenges
Technical Papers
Pre-print
An Empirical Study of OSS-Fuzz Bugs
Technical Papers
Pre-print
An Empirical Study on the Usage of BERT Models for Code Completion
Technical Papers
Pre-print
An Exploratory Study of Log Placement Recommendation in an Enterprise System
Technical Papers
Pre-print Media Attached
Architecture Smells and Pareto Principle: A Preliminary Empirical Exploration
Technical Papers
Pre-print
Attention-based model for predicting question relatedness on Stack Overflow
Technical Papers
Pre-print
Automatic Part-of-Speech Tagging for Security Vulnerability Descriptions
Technical Papers
Pre-print
Automatically Selecting Follow-up Questions for Deficient Bug Reports
Technical Papers
Pre-print
Can I Solve it? Identifying the APIs required to complete OSS tasks
Technical Papers
Pre-print
Challenges in Developing Desktop Web Apps: a Study of Stack Overflow and GitHub
Technical Papers
Pre-print
Characterising the Knowledge about Primitive Variables in Java Code Comments
Technical Papers
Pre-print
Comparative Study of Feature Reduction Techniques in Software Change Prediction
Technical Papers
Pre-print
Data Balancing Improves Self-Admitted Technical Debt Detection
Technical Papers
Pre-print
Discussions and Q&A
Technical Papers

Does Code Review Promote Conformance? A Study of OpenStack Patches
Technical Papers
Pre-print
Escaping the Time Pit: Pitfalls and Guidelines for Using Time-Based Git Data
Technical Papers
Pre-print Media Attached
Fast and Memory-Efficient Neural Code Completion
Technical Papers
Pre-print Media Attached
Googling for Software Development: What Developers Search For and What They Find
Technical Papers
Pre-print
How Do Software Developers Use GitHub Actions to Automate Their Workflows?
Technical Papers
Pre-print
How Java Programmers Test Exceptional Behavior
Technical Papers
Pre-print
Identifying Critical Projects via PageRank and Truck Factor
Technical Papers
Pre-print
Identifying Versions of Libraries used in Stack Overflow Code Snippets
Technical Papers
Pre-print Media Attached
JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction
Technical Papers
Pre-print
Learning Off-By-One Mistakes: An Empirical Study
Technical Papers
Pre-print
Leveraging Models to Reduce Test Cases in Software Repositories
Technical Papers
Pre-print Media Attached
Mining API Interactions to Analyze Software Revisions for the Evolution of Energy Consumption
Technical Papers
Pre-print
Mining DEV for social and technical insights about software development
Technical Papers
Pre-print
Mining Energy-Related Practices in Robotics Software
Technical Papers
Pre-print Media Attached
Mining Workflows for Anomalous Data Transfers
Technical Papers
Pre-print
Mining the ROS ecosystem for Green Architectural Tactics in Robotics and an Empirical Evaluation
Technical Papers
Pre-print Media Attached
On Improving Deep Learning Trace Analysis with System Call Arguments
Technical Papers
Pre-print
On the Naturalness and Localness of Software Logs
Technical Papers
Pre-print
On the Use of Dependabot Security Pull Requests
Technical Papers
Pre-print
PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
Technical Papers
Pre-print
Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models
Technical Papers
Pre-print
Predicting Design Impactful Changes in Modern Code Review: A Large-Scale Empirical Study
Technical Papers
Pre-print
Revisiting Dockerfiles in Open Source Software Over Time
Technical Papers
Pre-print
Rollback Edit Inconsistencies in Developer Forum
Technical Papers
Pre-print
S3M: Siamese Stack (Trace) Similarity Measure
Technical Papers
Pre-print
Self-Admitted Technical Debt in R Packages: An Exploratory Study
Technical Papers
Pre-print
Studying the Change Histories of Stack Overflow and GitHub Snippets
Technical Papers
Pre-print
TNM: A Tool for Mining of Socio-Technical Data from Git Repositories
Technical Papers
Pre-print
Technical Debt in the Peer-Review Documentation of R Packages: a rOpenSci Case Study
Technical Papers
Pre-print
The Secret Life of Hackathon Code
Technical Papers
Pre-print
Waiting around or job half-done? Sentiment in self-admitted technical debt
Technical Papers
Pre-print Media Attached
What Code Is Deliberately Excluded from Test Coverage and Why?
Technical Papers
Pre-print
Which contributions count? Analysis of attribution in open source
Technical Papers
Pre-print Media Attached
gambit – An Open Source Name Disambiguation Tool for Version Control Systems
Technical Papers
Pre-print Media Attached