CAIN 2023
Mon 15 - Sat 20 May 2023 Melbourne, Australia
co-located with ICSE 2023

Accepted Papers

Title
A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading System
Papers
Pre-print
AI Engineering in Autonomous Vehicle Development - Ken Power
Papers
A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ PractitionersDistinguished paper Award Candidate
Papers
Pre-print File Attached
An Initial Analysis of Repair and Side-effect Prediction for Neural Networks
Papers
Pre-print
Automatically Resolving Data Source Dependency Hell in Large Scale Data Science Projects
Papers
Pre-print
Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges
Papers
Pre-print
Dataflow graphs as complete causal graphs
Papers
Pre-print
Defining Quality Requirements for a Trustworthy AI Wildflower Monitoring Platform
Papers
Pre-print
Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository
Papers
Pre-print
Engineering Challenges for AI-Supported Computer Vision in Small Uncrewed Aerial Systems
Papers
Pre-print
Engineering Trustworthy AI Systems - Foutse Khomh
Papers
Exploring Hyperparameter Usage and Tuning in Machine Learning ResearchDistinguished paper Award Candidate
Papers
Pre-print
Prevalence of Code Smells in Reinforcement Learning Projects
Papers
Pre-print Media Attached
Replay-Driven Continual Learning for the Industrial Internet of Things
Papers
Towards Code Generation from BDD Test Case Specifications: A vision
Papers
Pre-print
Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study
Papers
Pre-print
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment
Papers
Trustworthy and Robust AI Deployment by Design: A framework to inject best practice support into AI deployment pipelinesDistinguished paper Award Candidate
Papers
Pre-print
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AIDistinguished paper Award Candidate
Papers
Pre-print

Call for Papers

We invite submissions of research and experience papers under two categories:

Long paper: Long papers are research or experience papers describing research results, case studies, and insights from industry experience. A research or experience full paper is up to 10 pages plus a maximum of 2 pages for references.

Short paper: Papers describing the challenges, new research results, visionary ideas, or experience papers from, or in cooperation with, practitioners are welcome as short papers. In progress research with interim results can also be appropriate as short papers. A short paper is up to 5 pages plus a maximum of 1 page for references.

The paper submissions will undergo a review process with three independent reviews and a virtual PC decision discussions. The acceptance criteria include novelty, research and industrial relevance, soundness, experiences, and preliminary results. The accepted full and short papers will be published in ACM Proceedings.

Topics of Interest

The overall area is Software Engineering for AI, i.e. means to improve development of software AI-based systems and software-intensive systems, including topics relevant for the entire lifecycle. The suggested topics include but are not limited to:

  • System and software requirements and their relations AI/ML modeling;
  • Data management ensuring relevance and efficiency related to business goals;
  • System and software architecture of AI-based systems;
  • Integration of AI-development process and software development processes, including continuous and federated ML, continuous deployment, system, and software evolution;
  • Ensuring and managing system and software nonfunctional properties and their relation to AI/ML properties, including run-time properties such as performance, safety, security, reliability, and life-cycle properties including reusability, maintainability, and evolution;
  • Development teams, organizational and management issues for a successful development of AI-systems.
  • Building effective infrastructures to support development of AI/ML components

Submission Form

The papers should be submitted to HotCrp web page. The submission deadline is firm.

All submissions must adhere to the following requirements:

  • The page limit is 10 pages plus 2 additional pages of references for long papers and 5 pages plus 1 additional page for references for short papers.
  • Submissions must strictly conform to the IEEE conference proceedings template. All submissions must be in PDF.
  • Submissions must be unpublished original work and should not be under review or submitted elsewhere while being under consideration.
  • By submitting to CAIN, authors acknowledge that they are aware of and agree to be bound by the ACM Policy and Procedures on Plagiarism and the IEEE Plagiarism FAQ. The authors also acknowledge that they conform to the authorship policy of the ACM and the authorship policy of the IEEE.
  • The submissions will be reviewed in a form of Double Blind Review process, i.e. the authors’ names must be omitted from the submission. For formatting and additional instructions see Submission format

The accepted papers will be published in the ICSE 2023 Co-located Event Proceedings and included in the IEEE and ACM Digital Libraries. Authors of accepted papers are required to register and present their accepted paper at the conference in order for the paper to be included in the proceedings and the Digital Libraries.

The official publication date is the date the proceedings are made available in the ACM or IEEE Digital Libraries. This date may be up to two weeks prior to the first day of ICSE 2023. The official publication date affects the deadline for any patent filings related to published work.

Dates
Tracks
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Mon 15 May

Displayed time zone: Hobart change

17:00 - 17:15
Welcome - OnlinePapers at Virtual - Zoom for CAIN

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17:15 - 18:45
Data & Model OptimizationPapers / Posters / Industrial Talks at Virtual - Zoom for CAIN
Chair(s): Justus Bogner University of Stuttgart

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17:15
15m
Short-paper
Automatically Resolving Data Source Dependency Hell in Large Scale Data Science Projects
Papers
Laurent Boué Microsoft, Pratap Kunireddy Microsoft, Pavle Subotic Microsoft Azure
Pre-print
17:30
15m
Short-paper
Dataflow graphs as complete causal graphs
Papers
Andrei Paleyes Department of Computer Science and Technology, Univesity of Cambridge, Siyuan Guo Max Planck Institute for Intelligent Systems, Bernhard Schölkopf MPI Tuebingen, Neil D. Lawrence Department of Computer Science and Technology, Univesity of Cambridge
Pre-print
17:45
20m
Long-paper
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AIDistinguished paper Award Candidate
Papers
Tim Yarally Delft University of Technology, Luís Cruz Delft University of Technology, Daniel Feitosa University of Groningen, June Sallou Delft University of Technology, Arie van Deursen Delft University of Technology
Pre-print
18:05
15m
Short-paper
Prevalence of Code Smells in Reinforcement Learning Projects
Papers
Nicolás Cardozo Universidad de los Andes, Ivana Dusparic Trinity College Dublin, Ireland, Christian Cabrera Department of Computer Science and Technology, Univesity of Cambridge
Pre-print Media Attached
18:20
20m
Long-paper
Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges
Papers
Hans-Martin Heyn University of Gothenburg & Chalmers University of Technology, Khan Mohammad Habibullah University of Gothenburg, Eric Knauss Chalmers | University of Gothenburg, Jennifer Horkoff Chalmers and the University of Gothenburg, Markus Borg CodeScene, Alessia Knauss Zenseact AB, Polly Jing Li Kognic AB
Pre-print
19:00 - 20:30
Training & LearningPapers at Virtual - Zoom for CAIN
Chair(s): Rrezarta Krasniqi University of North Texas

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19:00
20m
Long-paper
Replay-Driven Continual Learning for the Industrial Internet of Things
Papers
Sagar Sen , Simon Myklebust Nielsen University of Oslo, Norway, Erik Johannes Husom SINTEF Digital, Arda Goknil SINTEF Digital, Simeon Tverdal SINTEF Digital, Leonardo Sastoque Pinilla Centro de Fabricación Avanzada Aeronáutica (CFAA)
19:20
20m
Long-paper
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment
Papers
Qiang Hu University of Luxembourg, Yuejun GUo University of Luxembourg, Maxime Cordy University of Luxembourg, Luxembourg, Xiaofei Xie Singapore Management University, Wei Ma Nanyang Technological University, Singapore, Mike Papadakis University of Luxembourg, Luxembourg, Yves Le Traon University of Luxembourg, Luxembourg
19:40
20m
Long-paper
Exploring Hyperparameter Usage and Tuning in Machine Learning ResearchDistinguished paper Award Candidate
Papers
Sebastian Simon Leipzig University, Nikolay Kolyada , Christopher Akiki Leipzig University, Martin Potthast Leipzig University, Benno Stein Bauhaus-University Weimar, Norbert Siegmund Leipzig University
Pre-print
20:00
15m
Short-paper
An Initial Analysis of Repair and Side-effect Prediction for Neural Networks
Papers
Yuta Ishimoto Kyushu University, Ken Matsui Kyushu University, Masanari Kondo Kyushu University, Naoyasu Ubayashi Kyushu University, Yasutaka Kamei Kyushu University
Pre-print
20:45 - 22:15
Poster - OnlinePosters / Papers at Virtual - Zoom for CAIN
Chair(s): Mona Rahimi Northern Illinois University, Karthik Vaidhyanathan IIIT Hyderabad

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20:45
6m
Poster
AI Living Lab: Quality Assurance for AI-based Health systems
Posters
Valentina Lenarduzzi University of Oulu, Minna Isomursu University of Oulu
20:51
6m
Poster
AI Planning Software Development Lifecycle
Posters
Ilche Georgievski University of Stuttgart, Germany
File Attached
20:57
6m
Poster
Algorithm Debt: Challenges and Future Paths
Posters
Emmanuel Iko-Ojo Simon Australian National University, Melina Vidoni Australian National University, Fatemeh Hendijani Fard University of British Columbia
21:03
6m
Poster
Enabling Machine Learning in Software Architecture Frameworks
Posters
Armin Moin University of California, Santa Barbara, Atta Badii University of Reading, United Kingdom, Stephan G¨unnemann School of Computation, Information and Technology, Technical University of Munich, Munich, Germany, Moharram Challenger University of Antwerp
DOI Pre-print
21:09
6m
Poster
Extensible Modeling Framework for Reliable Machine Learning System Analysis
Posters
Jati Hiliamsyah Husen Waseda University, Hironori Washizaki Waseda University, Hnin Thandar Tun Waseda University, Japan, Nobukazu Yoshioka Waseda University, Japan, Yoshiaki Fukazawa Waseda University, Hironori Takeuchi Musashi University, Hiroshi Tanaka Fujitsu Limited, Tokyo, Japan, Kazuki Munakata Fujitsu Limited, Tokyo, Japan
21:15
6m
Poster
How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing Ecosystems
Posters
Iva Krasteva Sofia University, GATE Institute, Boris Kraychev GATE Institute, Ensiye Kiyamousavi GATE Institute
21:21
6m
Poster
Maintaining and Monitoring AIOps Models Against Concept Drift
Posters
Lorena Poenaru-Olaru TU Delft, Luís Cruz Delft University of Technology, Jan S. Rellermeyer Leibniz University Hannover, Arie van Deursen Delft University of Technology
21:27
6m
Poster
Reproducibility Requires Consolidated Artifacts
Posters
Iordanis Fostiropoulos University of Southern California, USA, Bowman Brown University of Southern California, USA, Laurent Itti University of Southern California, USA
21:33
6m
Poster
Tenet: A Flexible Framework for Machine Learning-based Vulnerability Detection
Posters
Eduard Costel Pinconschi Instituto Superior Técnico, University of Lisboa & INESC-ID, Sofia Reis Instituto Superior Técnico, U. Lisboa & INESC-ID, Chi Zhang , Rui Abreu Faculty of Engineering, University of Porto, Hakan Erdogmus Carnegie Mellon University, Limin Jia Carnegie Mellon University
21:39
6m
Poster
Towards Understanding Machine Learning Testing in Practise
Posters
Arumoy Shome Delft University of Technology, Luís Cruz Delft University of Technology, Arie van Deursen Delft University of Technology
Pre-print
21:45
30m
Break
Break Out Session - Online
Papers

22:30 - 23:30
Keynote - Dr. Ken PowerPapers at Virtual - Zoom for CAIN
Chair(s): Helena Holmström Olsson Malmö University

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22:30
60m
Keynote
AI Engineering in Autonomous Vehicle Development - Ken Power
Papers
Ken Power Motional

Tue 16 May

Displayed time zone: Hobart change

17:00 - 18:15
Keynote - Dr. Foutse KhomhPapers at Virtual - Zoom for CAIN
Chair(s): Ipek Ozkaya Carnegie Mellon University

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17:00
75m
Keynote
Engineering Trustworthy AI Systems - Foutse Khomh
Papers
Foutse Khomh Polytechnique Montréal
18:30 - 20:00
TrustPapers at Virtual - Zoom for CAIN
Chair(s): Zhenchang Xing CSIRO’s Data61; Australian National University

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18:30
20m
Long-paper
Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study
Papers
Boming Xia CSIRO's Data61 & University of New South Wales, Qinghua Lu CSIRO’s Data61, Harsha Perera CSIRO's Data61 & University of New South Wales, Liming Zhu The University of New South Wales, Zhenchang Xing , Yue Liu CSIRO's Data61 & University of New South Wales, Jon Whittle CSIRO's Data61 and Monash University
Pre-print
18:50
20m
Long-paper
Defining Quality Requirements for a Trustworthy AI Wildflower Monitoring Platform
Papers
Petra Heck Fontys University of Applied Sciences, Gerard Schouten Fontys University of Applied Sciences
Pre-print
19:10
20m
Long-paper
Trustworthy and Robust AI Deployment by Design: A framework to inject best practice support into AI deployment pipelinesDistinguished paper Award Candidate
Papers
Andras Schmelczer Leiden University, Joost Visser Leiden University
Pre-print
19:30
15m
Short-paper
Towards Code Generation from BDD Test Case Specifications: A vision
Papers
Leon Chemnitz TU Darmstadt, David Reichenbach TU Darmstadt, Germany, Hani Aldebes TU Darmstadt, Mariam Naveed TU Darmstadt, Krishna Narasimhan TU Darmstadt, Mira Mezini TU Darmstadt
Pre-print
20:15 - 21:45
AI System DesignPapers at Virtual - Zoom for CAIN
Chair(s): Grace Lewis Carnegie Mellon Software Engineering Institute

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20:15
20m
Long-paper
A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading System
Papers
Marcel Grote , Justus Bogner University of Stuttgart
Pre-print
20:35
20m
Long-paper
Engineering Challenges for AI-Supported Computer Vision in Small Uncrewed Aerial Systems
Papers
Muhammed Tawfiq Chowdhury University of Notre Dame, Jane Cleland-Huang University of Notre Dame
Pre-print
20:55
20m
Long-paper
A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ PractitionersDistinguished paper Award Candidate
Papers
Nadia Nahar Carnegie Mellon University, Haoran Zhang Carnegie Mellon University, USA, Grace Lewis Carnegie Mellon Software Engineering Institute, Shurui Zhou Carnegie Mellon University, USA / University of Toronto, CA, Christian Kästner Carnegie Mellon University
Pre-print File Attached
21:15
20m
Long-paper
Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository
Papers
Lukas Heiland University of Stuttgart, Germany, Marius Hauser University of Stuttgart, Germany, Justus Bogner University of Stuttgart
Pre-print
22:00 - 23:15
Panel - OnlinePapers at Virtual - Zoom for CAIN
Chair(s): Jan Bosch Chalmers University of Technology

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23:15 - 23:30
Closing - Online Papers at Virtual - Zoom for CAIN

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Sat 20 May

Displayed time zone: Hobart change

09:00 - 10:30
Welcome and Keynote by Dr. Aurelie JacquetPapers at Meeting Room 105
Chair(s): Zhenchang Xing CSIRO’s Data61; Australian National University
09:00
15m
Day opening
Welcome
Papers
Ipek Ozkaya Carnegie Mellon University
09:15
75m
Keynote
How international standards are defining best practice and helping implement AI responsibly: Dr. Aurelie Jacquet
Papers
13:30 - 15:00
Realizing the Promise of AI: Challenges and Visions Papers at Meeting Room 105
Chair(s): Ipek Ozkaya Carnegie Mellon University
13:30
8m
Long-paper
A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ PractitionersDistinguished paper Award Candidate
Papers
Nadia Nahar Carnegie Mellon University, Haoran Zhang Carnegie Mellon University, USA, Grace Lewis Carnegie Mellon Software Engineering Institute, Shurui Zhou Carnegie Mellon University, USA / University of Toronto, CA, Christian Kästner Carnegie Mellon University
Pre-print File Attached
13:38
8m
Short-paper
Dataflow graphs as complete causal graphs
Papers
Andrei Paleyes Department of Computer Science and Technology, Univesity of Cambridge, Siyuan Guo Max Planck Institute for Intelligent Systems, Bernhard Schölkopf MPI Tuebingen, Neil D. Lawrence Department of Computer Science and Technology, Univesity of Cambridge
Pre-print
13:46
8m
Short-paper
Prevalence of Code Smells in Reinforcement Learning Projects
Papers
Nicolás Cardozo Universidad de los Andes, Ivana Dusparic Trinity College Dublin, Ireland, Christian Cabrera Department of Computer Science and Technology, Univesity of Cambridge
Pre-print Media Attached
13:54
8m
Short-paper
Towards Code Generation from BDD Test Case Specifications: A vision
Papers
Leon Chemnitz TU Darmstadt, David Reichenbach TU Darmstadt, Germany, Hani Aldebes TU Darmstadt, Mariam Naveed TU Darmstadt, Krishna Narasimhan TU Darmstadt, Mira Mezini TU Darmstadt
Pre-print
14:02
8m
Long-paper
Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study
Papers
Boming Xia CSIRO's Data61 & University of New South Wales, Qinghua Lu CSIRO’s Data61, Harsha Perera CSIRO's Data61 & University of New South Wales, Liming Zhu The University of New South Wales, Zhenchang Xing , Yue Liu CSIRO's Data61 & University of New South Wales, Jon Whittle CSIRO's Data61 and Monash University
Pre-print
14:10
50m
Panel
Panel Discussion - Onsite
Papers

15:00 - 15:30
Onsite - PosterPosters at Meeting Room 105
15:00
6m
Poster
Maintaining and Monitoring AIOps Models Against Concept Drift
Posters
Lorena Poenaru-Olaru TU Delft, Luís Cruz Delft University of Technology, Jan S. Rellermeyer Leibniz University Hannover, Arie van Deursen Delft University of Technology
15:06
6m
Poster
Towards Understanding Machine Learning Testing in Practise
Posters
Arumoy Shome Delft University of Technology, Luís Cruz Delft University of Technology, Arie van Deursen Delft University of Technology
Pre-print
15:12
6m
Poster
Algorithm Debt: Challenges and Future Paths
Posters
Emmanuel Iko-Ojo Simon Australian National University, Melina Vidoni Australian National University, Fatemeh Hendijani Fard University of British Columbia
15:18
6m
Poster
Extensible Modeling Framework for Reliable Machine Learning System Analysis
Posters
Jati Hiliamsyah Husen Waseda University, Hironori Washizaki Waseda University, Hnin Thandar Tun Waseda University, Japan, Nobukazu Yoshioka Waseda University, Japan, Yoshiaki Fukazawa Waseda University, Hironori Takeuchi Musashi University, Hiroshi Tanaka Fujitsu Limited, Tokyo, Japan, Kazuki Munakata Fujitsu Limited, Tokyo, Japan
15:24
6m
Poster
AI Living Lab: Quality Assurance for AI-based Health systems
Posters
Valentina Lenarduzzi University of Oulu, Minna Isomursu University of Oulu
15:30 - 17:30
Roadmap and Closing RemarksPapers at Meeting Room 105
Chair(s): Henry Muccini University of L'Aquila, Italy

Not scheduled yet

Not scheduled yet
Break
Break - Online
Papers

Not scheduled yet
Poster
Tea Break and Posters - OnSite
Papers

Not scheduled yet
Dinner
CAIN Social Function - May 20th 1800 – 2100 at Meat Market, South Wharf.
Papers

Candidates for Distinguished Paper Award

In no particular order
The award recipient will be announced during the conference
  • Title: A Meta-Summary of Challenges in Building Products with ML Components – Collecting Experiences from 4758+ Practitioners.
    Authors: Nadia Nahar, Haoran Zhang, Grace Lewis, Shurui Zhou, and Christian Kästner

  • Title: Exploring Hyperparameter Usage and Tuning in Machine Learning Research.
    Authors: Sebastian Simon, Nikolay Kolyada, Christopher Akiki, Martin Potthast, Benno Stein, and Norbert Siegmund

  • Title: Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI.
    Authors: Tim Yarally, Luís Cruz, Daniel Feitosa, June Sallou, and Arie van Deursen

  • Title: Trustworthy and Robust AI Deployment by Design: A framework to inject best practice support into AI deployment pipelines.
    Authors: Andras Schmelczer, and Joost Visser

List of Accepted Papers

Long Papers

  • Title: A Meta-Summary of Challenges in Building Products with ML Components – Collecting Experiences from 4758+ Practitioners.
    Authors: Nadia Nahar, Haoran Zhang, Grace Lewis, Shurui Zhou, and Christian Kästner

  • Title: Replay-Driven Continual Learning for the Industrial Internet of Things.
    Authors: Sagar Sen, Simon Myklebust Nielsen, Erik Johannes Husom, Arda Goknil, Simeon Tverdal, and Leonardo Sastoque Pinilla

  • Title: Engineering Challenges for AI-Supported Computer Vision in small Uncrewed Aerial Systems.
    Authors: Muhammed Tawfiq Chowdhury, and Jane Cleland-Huang

  • Title: Defining Quality Requirements for a Trustworthy AI Wildflower Monitoring Platform.
    Authors: Petra Heck, and Gerard Schouten

  • Title: Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges.
    Authors: Hans-Martin Heyn, Khan Mohammad Habibullah, Eric Knauss, Jennifer Horkoff, Markus Borg, Alessia Knauss, and Polly Jing Li

  • Title: Exploring Hyperparameter Usage and Tuning in Machine Learning Research.
    Authors: Sebastian Simon, Nikolay Kolyada, Christopher Akiki, Martin Potthast, Benno Stein, and Norbert Siegmund

  • Title: Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI.
    Authors: Tim Yarally, Luís Cruz, Daniel Feitosa, June Sallou, and Arie van Deursen

  • Title: Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository.
    Authors: Lukas Heiland, Marius Hauser, and Justus Bogner

  • Title: A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading System.
    Authors: Marcel Grote, and Justus Bogner

  • Title: Trustworthy and Robust AI Deployment by Design: A framework to inject best practice support into AI deployment pipelines.
    Authors: Andras Schmelczer, and Joost Visser

  • Title: Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment.
    Authors: Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, and Yves Le Traon

  • Title: Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study.
    Authors: Boming Xia, Qinghua Lu, Harsha Perera, Liming Zhu, Zhenchang Xing, Yue Liu, and Jon Whittle

Short Papers

  • Title: Automatically Resolving Data Source Dependency Hell in Large Scale Data Science Projects.
    Authors: Laurent Boué, Pratap Kunireddy, and Pavle Subotić

  • Title: Dataflow graphs as complete causal graphs.
    Authors: Andrei Paleyes, Siyuan Guo, Bernhard Schölkopf, and Neil D. Lawrence

  • Title: Prevalence of Code Smells in Reinforcement Learning Projects.
    Authors: Nicolas Cardozo, Ivana Dusparic, and Christian Cabrera

  • Title: Towards Code Generation from BDD Test Case Specifications: A vision.
    Authors: Leon Chemnitz, David Reichenbach, Hani Aldebes, Mariam Naveed, Krishna Narasimhan, and Mira Mezini

  • Title: An Initial Analysis of Repair and Side-effect Prediction for Neural Networks.
    Authors: Yuta Ishimoto, Ken Matsui, Masanari Kondo, Naoyasu Ubayashi, and Yasutaka Kamei