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ICSE 2022
Sun 8 - Fri 27 May 2022
Wed 11 May 2022 11:00 - 11:05 at ICSE room 1-odd hours - Machine Learning with and for SE 10 Chair(s): Preetha Chatterjee
Thu 12 May 2022 21:05 - 21:10 at ICSE room 2-odd hours - Machine Learning with and for SE 8 Chair(s): Seok-Won Lee
Fri 27 May 2022 11:00 - 11:05 at Room 301+302 - Papers 19: Machine Learning with and for SE 2 Chair(s): Dalal Alrajeh
Fri 27 May 2022 13:30 - 15:00 at Ballroom Gallery - Posters 3

The SE community needs to be more careful about using off-the-shelf AI tools, without first applying SE knowledge (e.g., those past releases are a good source of knowledge for planning defect reductions). Once that SE knowledge is applied, this can result in dramatically better reasoning.

For example, here is a property of software that is not usually exploited in standard AI tools:

  • Software comes in releases and
  • Implausible change to software is something that has never been changed in prior releases.

Our TimeLIME exploits this knowledge as follows. When planning how to reduce defects, it is better to use plausible changes, i.e., changes with some precedence in the prior releases. To demonstrate this point, this paper compares several defect reduction planning tools. LIME is a local sensitivity analysis tool that can report the fewest changes needed to alter the classification of some code module (e.g., from defective to non-defective). TimeLIME is a new tool, introduced in this paper, that improves LIME by restricting its plans to just those attributes which change the most within a project.

In this study, we compared the performance of LIME and TimeLIME and several other defect reduction planning algorithms. The generated plans were assessed via (a) the similarity scores between the proposed code changes and the real code changes made by developers; and (b) the improvement scores seen within projects that followed the plans. For nine project trials, we found that TimeLIME outperformed all other algorithms (in 8 out of 9 trials). Hence, we strongly recommend using past releases as a source of knowledge for computing fixes for new releases (using TimeLIME).

Wed 11 May

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

11:00 - 12:00
Machine Learning with and for SE 10Technical Track / SEIP - Software Engineering in Practice / Journal-First Papers at ICSE room 1-odd hours
Chair(s): Preetha Chatterjee Drexel University, USA
11:00
5m
Talk
Defect Reduction Planning (using TimeLIME)
Journal-First Papers
Kewen Peng North Carolina State University, Tim Menzies North Carolina State University
Authorizer link Pre-print Media Attached
11:05
5m
Talk
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations
Journal-First Papers
Amin Nikanjam École Polytechnique de Montréal, Houssem Ben Braiek École Polytechnique de Montréal, Mohammad Mehdi Morovati École Polytechnique de Montréal, Foutse Khomh Polytechnique Montréal
Link to publication DOI Media Attached
11:10
5m
Talk
Counterfactual Explanations for Models of Code
SEIP - Software Engineering in Practice
Jürgen Cito TU Wien and Meta, Işıl Dillig University of Texas at Austin, Vijayaraghavan Murali Meta Platforms, Inc., Satish Chandra Facebook
Pre-print Media Attached
11:15
5m
Talk
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
Technical Track
Qibin Chen Carnegie Mellon University, Jeremy Lacomis Carnegie Mellon University, Edward J. Schwartz Carnegie Mellon University Software Engineering Institute, Graham Neubig Carnegie Mellon University, Bogdan Vasilescu Carnegie Mellon University, USA, Claire Le Goues Carnegie Mellon University
DOI Pre-print Media Attached
11:20
5m
Talk
Towards Training Reproducible Deep Learning Models
Technical Track
Boyuan Chen Centre for Software Excellence, Huawei Canada, Mingzhi Wen Huawei Technologies, Yong Shi Huawei Technologies, Dayi Lin Centre for Software Excellence, Huawei, Canada, Gopi Krishnan Rajbahadur Centre for Software Excellence, Huawei, Canada, Zhen Ming (Jack) Jiang York University
Pre-print Media Attached
11:25
5m
Talk
Learning to Reduce False Positives in Analytic Bug Detectors
Technical Track
Anant Kharkar Microsoft, Roshanak Zilouchian Moghaddam Microsoft, Matthew Jin Microsoft Corporation, Xiaoyu Liu Microsoft Corporation, Xin Shi Microsoft Corporation, Colin Clement Microsoft, Neel Sundaresan Microsoft Corporation
Pre-print Media Attached

Thu 12 May

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

21:00 - 22:00
Machine Learning with and for SE 8Technical Track / Journal-First Papers at ICSE room 2-odd hours
Chair(s): Seok-Won Lee Ajou University
21:00
5m
Talk
Active Learning of Discriminative Subgraph Patterns for API Misuse Detection
Journal-First Papers
Hong Jin Kang Singapore Management University, David Lo Singapore Management University
Pre-print Media Attached File Attached
21:05
5m
Talk
Defect Reduction Planning (using TimeLIME)
Journal-First Papers
Kewen Peng North Carolina State University, Tim Menzies North Carolina State University
Authorizer link Pre-print Media Attached
21:10
5m
Talk
Learning to Reduce False Positives in Analytic Bug Detectors
Technical Track
Anant Kharkar Microsoft, Roshanak Zilouchian Moghaddam Microsoft, Matthew Jin Microsoft Corporation, Xiaoyu Liu Microsoft Corporation, Xin Shi Microsoft Corporation, Colin Clement Microsoft, Neel Sundaresan Microsoft Corporation
Pre-print Media Attached
21:15
5m
Talk
Learning to Recommend Method Names with Global Context
Technical Track
Fang Liu Peking University, Ge Li Peking University, Zhiyi Fu Peking University, Shuai Lu Peking University, Yiyang Hao Silicon Heart Tech Co., Zhi Jin Peking University
Pre-print Media Attached
21:20
5m
Talk
Adaptive Test Selection for Deep Neural Networks
Technical Track
Xinyu Gao Nanjing University, Yang Feng Nanjing University, Yining Yin Nanjing University, China, Zixi Liu Nanjing University, Zhenyu Chen Nanjing University, Baowen Xu Nanjing University
Pre-print Media Attached
21:25
5m
Talk
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source
Technical Track
Anjiang Wei Stanford University, Yinlin Deng University of Illinois at Urbana-Champaign, Chenyuan Yang Nanjing University, Lingming Zhang University of Illinois at Urbana-Champaign
Pre-print Media Attached

Fri 27 May

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

11:00 - 12:30
Papers 19: Machine Learning with and for SE 2Journal-First Papers / Technical Track at Room 301+302
Chair(s): Dalal Alrajeh Imperial College London
11:00
5m
Talk
Defect Reduction Planning (using TimeLIME)
Journal-First Papers
Kewen Peng North Carolina State University, Tim Menzies North Carolina State University
Authorizer link Pre-print Media Attached
11:05
5m
Talk
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
Technical Track
Qibin Chen Carnegie Mellon University, Jeremy Lacomis Carnegie Mellon University, Edward J. Schwartz Carnegie Mellon University Software Engineering Institute, Graham Neubig Carnegie Mellon University, Bogdan Vasilescu Carnegie Mellon University, USA, Claire Le Goues Carnegie Mellon University
DOI Pre-print Media Attached
11:10
5m
Talk
EREBA: Black-box Energy Testing of Adaptive Neural Networks
Technical Track
Mirazul Haque UT Dallas, Yaswanth Yadlapalli University of Texas at Dallas, Wei Yang University of Texas at Dallas, Cong Liu University of Texas at Dallas, USA
Pre-print Media Attached
11:15
5m
Talk
Multilingual training for Software Engineering
Technical Track
Toufique Ahmed University of California at Davis, Prem Devanbu Department of Computer Science, University of California, Davis
DOI Pre-print Media Attached
11:20
5m
Talk
Learning to Recognize Actionable Static Code Warnings (is Intrinsically Easy)
Journal-First Papers
Xueqi Yang NCSU, Jianfeng Chen North Carolina State University, Rahul Yedida North Carolina State University, Zhe Yu , Tim Menzies North Carolina State University
Link to publication DOI Pre-print Media Attached
11:25
5m
Talk
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and ProcessDistinguished Paper Award
Technical Track
Nadia Nahar Carnegie Mellon University, Shurui Zhou University of Toronto, Grace Lewis Carnegie Mellon Software Engineering Institute, Christian Kästner Carnegie Mellon University
Pre-print Media Attached
11:30
5m
Talk
Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection
Journal-First Papers
Nadia Daoudi SnT, University of Luxembourg, Kevin Allix University of Luxembourg, Tegawendé F. Bissyandé SnT, University of Luxembourg, Jacques Klein University of Luxembourg
Link to publication Pre-print Media Attached
13:30 - 15:00
13:30
90m
Talk
Investigating User Perceptions of Conversational Agents for Software-related Exploratory Web Search
NIER - New Ideas and Emerging Results
Matthew Frazier University of Delaware, Shaayal Kumar University of Delaware, Kostadin Damevski Virginia Commonwealth University, Lori Pollock University of Delaware
DOI Pre-print Media Attached
13:30
90m
Talk
Bots for Pull Requests: The Good, the Bad, and the Promising
Technical Track
Mairieli Wessel Delft University of Technology, Ahmad Abdellatif Concordia University, Igor Wiese Federal University of Technology - Paraná (UTFPR), Tayana Conte Universidade Federal do Amazonas, Emad Shihab Concordia University, Marco Gerosa Northern Arizona University, USA, Igor Steinmacher Northern Arizona University
Pre-print
13:30
90m
Talk
Post2Vec: Learning Distributed Representations of Stack Overflow Posts
Journal-First Papers
Bowen Xu Singapore Management University, Thong Hoang Singapore Management University, Singapore, Abhishek Sharma Veracode, Inc., Chengran Yang Singapore Management University, Xin Xia Huawei Software Engineering Application Technology Lab, David Lo Singapore Management University
Link to publication DOI Pre-print
13:30
90m
Talk
Detecting Interpersonal Conflict in Issues and Code Review: Cross Pollinating Open- and Closed-Source Approaches
SEIS - Software Engineering in Society
Huilian Sophie Qiu Carnegie Mellon University, USA, Bogdan Vasilescu Carnegie Mellon University, USA, Christian Kästner Carnegie Mellon University, Carolyn Egelman Google, Ciera Jaspan , Emerson Murphy-Hill Google
Pre-print Media Attached
13:30
90m
Poster
Poster: Comprehensive Comparisons of Embedding Approaches for Cryptographic API Completion
Posters
Ya Xiao Virginia Tech, Salman Ahmed Virginia Polytechnic Institute and State University, Xinyang Ge Microsoft Research, Bimal Viswanath Virginia Tech, Na Meng Virginia Tech, Daphne Yao Virginia Tech
13:30
90m
Talk
Semantic Image Fuzzing of AI Perception Systems
Technical Track
Trey Woodlief University of Virginia, Sebastian Elbaum University of Virginia, Kevin Sullivan University of Virginia
DOI Pre-print Media Attached
13:30
90m
To Disengage or Not to Disengage: A Look at Contributor Disengagement in Open Source Software
SRC - ACM Student Research Competition
Philip Gray New College of Florida
13:30
90m
Talk
Hashing It Out: A Survey of Programmers’ Cannabis Usage, Perception, and Motivation
Technical Track
Madeline Endres University of Michigan, Kevin Boehnke University of Michigan, Westley Weimer University of Michigan
DOI Pre-print Media Attached
13:30
90m
Talk
Bus Factor In Practice
SEIP - Software Engineering in Practice
Elgun Jabrayilzade Bilkent University, Mikhail Evtikhiev JetBrains Research, Eray Tüzün Bilkent University, Vladimir Kovalenko JetBrains Research
Pre-print Media Attached
13:30
90m
Talk
Garbage Collection Makes Rust Easier to Use: A Randomized Controlled Trial of the Bronze Garbage CollectorNominated for Distinguished Paper
Technical Track
Michael Coblenz University of Maryland at College Park, Michelle Mazurek University of Maryland, Michael Hicks University of Maryland at College Park
DOI Pre-print Media Attached
13:30
90m
Talk
Learning and Programming Challenges of Rust: A Mixed-Methods Study
Technical Track
Shuofei Zhu The Pennsylvania State University, Ziyi Zhang University of Wisconsin–Madison, Boqin Qin China Telecom Cloud Computing Corporation, Aiping Xiong The Pennsylvania State University, Linhai Song Pennsylvania State University, USA
DOI Pre-print Media Attached
13:30
90m
Talk
Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning
NIER - New Ideas and Emerging Results
Martin Weyssow DIRO, Université de Montréal, Houari Sahraoui Université de Montréal, Bang Liu DIRO & Mila, Université de Montréal
Pre-print Media Attached
13:30
90m
Talk
Defect Reduction Planning (using TimeLIME)
Journal-First Papers
Kewen Peng North Carolina State University, Tim Menzies North Carolina State University
Authorizer link Pre-print Media Attached
13:30
90m
Demonstration
Gamekins: Gamifying Software Testing in Jenkins
DEMO - Demonstrations
Philipp Straubinger University of Passau, Gordon Fraser University of Passau
DOI Pre-print Media Attached
13:30
90m
Talk
How Do I Refactor This? An Empirical Study on Refactoring Trends and Topics in Stack Overflow
Journal-First Papers
Anthony Peruma Rochester Institute of Technology, Steven Simmons Rochester Institute of Technology, Eman Abdullah AlOmar Stevens Institute of Technology, Christian D. Newman Rochester Institute of Technology, Mohamed Wiem Mkaouer Rochester Institute of Technology, Ali Ouni ETS Montreal, University of Quebec
Link to publication DOI Pre-print Media Attached
13:30
90m
Talk
Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection
Journal-First Papers
Nadia Daoudi SnT, University of Luxembourg, Kevin Allix University of Luxembourg, Tegawendé F. Bissyandé SnT, University of Luxembourg, Jacques Klein University of Luxembourg
Link to publication Pre-print Media Attached
13:30
90m
Mu2: Using Mutation Analysis to Guide Mutation-Based Fuzzing
SRC - ACM Student Research Competition
Isabella Laybourn Carnegie Mellon Silicon Valley
13:30
90m
Talk
Emotions and Perceived Productivity of Software Developers at the Workplace
Journal-First Papers
Daniela Girardi University of Bari, Filippo Lanubile University of Bari, Nicole Novielli University of Bari, Alexander Serebrenik Eindhoven University of Technology
Link to publication DOI Pre-print Media Attached
13:30
90m
Poster
CRustS: A Transpiler from Unsafe C to Safer Rust
Posters
Michael Ling Huawei Technologies Canada, Yijun Yu The Open University, UK, Haitao Wu Huawei Technologies Canada, Yuan Wang Huawei Sweden Research Center, James R. Cordy Queen's University, Ahmed E. Hassan Queen's University
13:30
90m
Talk
Multilingual training for Software Engineering
Technical Track
Toufique Ahmed University of California at Davis, Prem Devanbu Department of Computer Science, University of California, Davis
DOI Pre-print Media Attached
13:30
90m
Talk
An Empirical Investigation on the Challenges Faced by Women in the Software Industry: A Case StudySEIS-track Award
SEIS - Software Engineering in Society
Bianca Trinkenreich Northern of Arizona Univeristy, Ricardo Britto Ericsson / Blekinge Institute of Technology, Marco Gerosa Northern Arizona University, USA, Igor Steinmacher Northern Arizona University
Pre-print Media Attached
13:30
90m
Talk
Using Deep Learning to Generate Complete Log Statements
Technical Track
Antonio Mastropaolo Università della Svizzera italiana, Luca Pascarella Università della Svizzera italiana (USI), Gabriele Bavota Software Institute, USI Università della Svizzera italiana
Pre-print Media Attached
13:30
90m
Talk
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and ProcessDistinguished Paper Award
Technical Track
Nadia Nahar Carnegie Mellon University, Shurui Zhou University of Toronto, Grace Lewis Carnegie Mellon Software Engineering Institute, Christian Kästner Carnegie Mellon University
Pre-print Media Attached
13:30
90m
Talk
Discovering Repetitive Code Changes in Python ML Systems
Technical Track
Malinda Dilhara University of Colorado Boulder, USA, Ameya Ketkar Oregon State University, USA, Nikhith Sannidhi University of Colorado Boulder, Danny Dig University of Colorado Boulder, USA
DOI Pre-print Media Attached
13:30
90m
Talk
Towards Mining OSS Skills from GitHub Activity
NIER - New Ideas and Emerging Results
Jenny T. Liang University of Washington, Thomas Zimmermann Microsoft Research, Denae Ford Microsoft Research
DOI Pre-print Media Attached
13:30
90m
Talk
EREBA: Black-box Energy Testing of Adaptive Neural Networks
Technical Track
Mirazul Haque UT Dallas, Yaswanth Yadlapalli University of Texas at Dallas, Wei Yang University of Texas at Dallas, Cong Liu University of Texas at Dallas, USA
Pre-print Media Attached
13:30
90m
Talk
"Project smells" — Experiences in Analysing the Software Quality of ML Projects with mllint
SEIP - Software Engineering in Practice
Bart van Oort Delft University of Technology, Luís Cruz Deflt University of Technology, Babak Loni ING Bank N.V., Arie van Deursen Delft University of Technology, Netherlands
Pre-print Media Attached
13:30
90m
Poster
Improving Responsiveness of Android Activity Navigation via Genetic Improvement
Posters
James Callan UCL, Justyna Petke University College London

Information for Participants
Wed 11 May 2022 11:00 - 12:00 at ICSE room 1-odd hours - Machine Learning with and for SE 10 Chair(s): Preetha Chatterjee
Info for room ICSE room 1-odd hours:

Click here to go to the room on Midspace

Thu 12 May 2022 21:00 - 22:00 at ICSE room 2-odd hours - Machine Learning with and for SE 8 Chair(s): Seok-Won Lee
Info for room ICSE room 2-odd hours:

Click here to go to the room on Midspace