DREE 2022
Dates to be announced
co-located with ICSE 2022
VenueMidspace
Room nameCAIN main room
Room InformationNo extra information available

Information for Participants
Info for room CAIN main room:

Click here to go to the room on Midspace

Program

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Mon 16 May

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

06:00 - 06:30
Welcome to CAINCAIN at CAIN main room
Chair(s): Jan Bosch Chalmers University of Technology, Jane Cleland-Huang University of Notre Dame, Helena Holmström Olsson Malmö University, Iva Krasteva Sofia University, GATE Institute, Lucy Ellen Lwakatare University of Helsinki, Henry Muccini University of L'Aquila, Italy, Ipek Ozkaya Carnegie Mellon Software Engineering Institute, Thomas Zimmermann Microsoft Research
06:30 - 07:30
Quality AssuranceCAIN at CAIN main room
Chair(s): Henry Muccini University of L'Aquila, Italy
06:30
15m
Research paper
What is Software Quality for AI Engineers? Towards a Thinning of the FogResearch Paper
CAIN
Valentina Golendukhina University of Innsbruck, Valentina Lenarduzzi University of Oulu, Michael Felderer University of Innsbruck
06:45
15m
Research paper
Exploring ML testing in practice - Lessons learned from an interactive rapid review with Axis CommunicationsResearch Paper
CAIN
Qunying Song Lund University, Markus Borg RISE Research Institutes of Sweden, Emelie Engstrom Lund University, Håkan Ardö Axis Communications, Lund, Sweden, Sergio Rico Lund University, Sweden
Pre-print
07:00
15m
Research paper
Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language PracticeResearch Paper
CAIN
Markus Borg RISE Research Institutes of Sweden, Johan Bengtsson Lund University, Harald Österling Lund University, Alexander Hagelborn NordAxon AB, Isabella Gagner NordAxon AB, Piotr Tomaszewski RISE Research Institutes of Sweden
07:15
15m
Other
Discussion on Quality Assurance
CAIN

07:30 - 07:45
07:45 - 09:15
PostersCAIN at CAIN main room
Chair(s): Helena Holmström Olsson Malmö University, Iva Krasteva Sofia University, GATE Institute
07:45
30m
Other
Activity: Networking Shuffle
CAIN

08:15
3m
Poster
MLOps: Five Steps to Guide its Effective ImplementationPoster
CAIN
08:18
3m
Poster
Towards A Methodological Framework for Production-ready AI-based Software ComponentsPoster
CAIN
Markus Haug University of Stuttgart, Institute of Software Engineering, Empirical Software Engineering Group, Justus Bogner University of Stuttgart, Institute of Software Engineering, Empirical Software Engineering Group
08:21
3m
Poster
Preliminary Insights to enable automation of the Software Development Process in Software StartUps. A Investigation Study from the use of Artificial Intelligence and Machine LearningPoster
CAIN
Olimar Borges PUCRS University, Valentina Lenarduzzi University of Oulu, Rafael Prikladnicki School of Technology at PUCRS University
08:24
3m
Poster
Identification of Out-of-Distribution Cases of CNN using Class-Based Surprise AdequacyPoster
CAIN
Mira Marhaba Polytechnique Montreal, Ettore Merlo Polytechnique Montreal, Foutse Khomh Polytechnique Montréal, Giuliano Antoniol Polytechnique Montréal
08:27
3m
Poster
Robust Active Learning: Sample-Efficient Training of Robust Deep Learning ModelsPoster
CAIN
Yuejun GUo Interdisciplinary Centre for Security, Qiang Hu University of Luxembourg, Maxime Cordy University of Luxembourg, Luxembourg, Mike Papadakis University of Luxembourg, Luxembourg, Yves Le Traon University of Luxembourg, Luxembourg
08:30
3m
Poster
A New Approach for Machine Learning Security Risk AssessmentPoster
CAIN
Jun Yajima Fujitsu Limited, Maki Inui Fujitsu Limited, Takanori Oikawa Fujitsu Limited, Fumiyoshi Kasahara Fujitsu Limited, Ikuya Morikawa Fujitsu Limited, Nobukazu Yoshioka Waseda University, Japan
File Attached
08:33
3m
Poster
TopSelect: A Topology-based Feature Selection Method for Industrial Machine LearningPoster
CAIN
Hadil Abukwaik ABB Corporate Research, Lefter Sula ABB Corporate Research Center, Pablo Rodriguez ABB
08:36
3m
Poster
Pynblint: a Static Analyzer for Python Jupyter NotebooksPoster
CAIN
Luigi Quaranta University of Bari, Italy, Fabio Calefato University of Bari, Filippo Lanubile University of Bari
Pre-print File Attached
08:39
3m
Poster
Traceable Business-to-Safety Analysis Framework for Safety-critical Machine Learning SystemsPoster
CAIN
Jati Hiliamsyah Husen Waseda University, Hironori Washizaki Waseda University, Hnin Tun Waseda University, Nobukazu Yoshioka Waseda University, Japan, Hironori Takeuchi Musashi University, Yoshiaki Fukazawa Waseda University
Media Attached File Attached
08:42
3m
Poster
Structural Causal Models as Boundary Objects in AI System DevelopmentPoster
CAIN
Hans-Martin Heyn University of Gothenburg & Chalmers University of Technology, Eric Knauss Chalmers | University of Gothenburg
08:45
30m
Other
Poster Visits
CAIN

09:15 - 09:30
09:30 - 11:00
Training & LearningCAIN at CAIN main room
Chair(s): Jan Bosch Chalmers University of Technology
09:30
15m
Research paper
An Empirical Evaluation of Flow Based Programming in the Machine Learning Deployment ContextResearch Paper
CAIN
Andrei Paleyes Department of Computer Science and Technology, Univesity of Cambridge, Christian Cabrera Department of Computer Science and Technology, Univesity of Cambridge, Neil D. Lawrence Department of Computer Science and Technology, Univesity of Cambridge
Pre-print Media Attached
09:45
15m
Research paper
Automatic Checkpointing and Deterministic Training for Deep LearningResearch Paper
CAIN
Xiangzhe Xu Purdue University, Hongyu Liu Huawei Galois Lab, China, Guanhong Tao Purdue University, USA, Zhou Xuan Purdue University, Xiangyu Zhang Purdue University
10:00
15m
Research paper
Influence-Driven Data Poisoning in Graph-Based Semi-Supervised ClassifiersResearch Paper
CAIN
Adriano Franci University of Luxembourg, Maxime Cordy University of Luxembourg, Luxembourg, Martin Gubri University of Luxembourg, Luxembourg, Mike Papadakis University of Luxembourg, Luxembourg, Yves Le Traon University of Luxembourg, Luxembourg
10:15
15m
Industry talk
Engineering a Platform for Reinforcement Learning WorkloadsIndustry Talk
CAIN
Ali Kanso Microsoft, Kinshuman Patra Microsoft
10:30
15m
Research paper
Method Cards for Prescriptive Machine-Learning TransparencyResearch Paper
CAIN
David Adkins Meta AI, Bilal Alsallakh Meta AI, Adeel Cheema Meta AI, Narine Kokhlikyan Meta AI, Emily McReynolds Meta AI, Pushkar Mishra Meta AI, Chavez Procope Meta AI, Jeremy Sawruk Meta AI, Erin Wang Meta AI, Polina Zvyagina Meta AI
10:45
15m
Other
Discussion on Training & Learning
CAIN

11:00 - 11:15

Tue 17 May

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

06:00 - 07:30
AI Engineering PracticesCAIN at CAIN main room
Chair(s): Ipek Ozkaya Carnegie Mellon Software Engineering Institute
06:00
15m
Research paper
Towards a Roadmap for Software Engineering for Responsible AIResearch Paper
CAIN
Qinghua Lu CSIRO’s Data61, Liming Zhu CSIRO’s Data61; UNSW, Xiwei (Sherry) Xu CSIRO Data61, Jon Whittle CSIRO's Data61 and Monash University, Zhenchang Xing Australian National University
06:15
15m
Research paper
AI Governance in the System Development Life Cycle: Insights on Responsible Machine Learning EngineeringResearch Paper
CAIN
Samuli Laato University of Turku, Teemu Birkstedt University of Turku, Matti Mäntymäki University of Turku, Matti Minkkinen University of Turku, Tommi Mikkonen University of Helsinki
06:30
15m
Research paper
The Goldilocks Framework: Towards Selecting the Optimal Approach to Conducting AI ProjectsResearch Paper
CAIN
Rimma Dzhusupova McDermott, Jan Bosch Chalmers University of Technology, Helena Holmström Olsson Malmö University
06:45
15m
Research paper
What Is an AI Engineer? An Empirical Analysis of Job Ads in the NetherlandsResearch Paper
CAIN
Marcel Meesters Fontys University of Applied Sciences, Petra Heck Fontys University of Applied Sciences, Alexander Serebrenik Eindhoven University of Technology
Pre-print
07:00
15m
Research paper
Data is about Detail: An Empirical Investigation for Software Systems with NLP at CoreResearch Paper
CAIN
Anmol Singhal TCS Research, Preethu Rose Anish TCS Research, Pratik Sonar TCS Research, Smita Ghaisas TCS Research
File Attached
07:15
15m
Other
Discussion on AI Engineering Practices
CAIN

07:30 - 07:45
07:45 - 09:15
AI Models & PipelinesCAIN at CAIN main room
Chair(s): Lucy Ellen Lwakatare University of Helsinki
07:45
15m
Industry talk
Practical Insights of Repairing Model Problems on Image ClassificationIndustry Talk
CAIN
Akihito Yoshii Fujitsu Limited, Susumu Tokumoto Fujitsu Limited, Fuyuki Ishikawa National Institute of Informatics
08:00
15m
Research paper
UDAVA: An Unsupervised Learning Pipeline for Sensor Data Validation in ManufacturingResearch Paper
CAIN
Erik Johannes Husom SINTEF Digital, Simeon Tverdal SINTEF Digital, Arda Goknil SINTEF Digital, Sagar Sen
08:15
15m
Research paper
Black-Box Models for Non-Functional Properties of AI Software SystemsResearch Paper
CAIN
Daniel Friesel Universität Osnabrück, Olaf Spinczyk Universität Osnabrück
DOI Pre-print
08:30
15m
Research paper
Improving Generalizability of ML-enabled Software through Domain SpecificationResearch Paper
CAIN
Hamed Barzamini , Mona Rahimi Northern Illinois University, Murtuza Shahzad Northern Illinois University, Hamed Alhoori Northern Illinois University
08:45
15m
Research paper
Data Sovereignty for AI Pipelines: Lessons Learned from an Industrial Project at Mondragon CorporationResearch Paper
CAIN
Marcel Altendeitering Fraunhofer ISST, Julia Pampus Fraunhofer ISST, Felix Larrinaga Mondragon Unibertsitatea, Jon Legaristi Mondragon Unibertsitatea, Falk Howar TU Dortmund University
File Attached
09:00
15m
Other
Discussion on AI Models & Pipelines
CAIN

09:15 - 09:30
09:30 - 11:00
AI SmellsCAIN at CAIN main room
Chair(s): Ipek Ozkaya Carnegie Mellon Software Engineering Institute, Thomas Zimmermann Microsoft Research
09:30
30m
Other
Activity: Brainwriting
CAIN

10:00
15m
Research paper
Code Smells for Machine Learning ApplicationsResearch Paper
CAIN
Haiyin Zhang AI for Fintech Research, ING, Luís Cruz Deflt University of Technology, Arie van Deursen Delft University of Technology, Netherlands
Pre-print
10:15
15m
Research paper
Data Smells: Categories, Causes and Consequences, and Detection of Suspicious Data in AI-based SystemsResearch Paper
CAIN
Harald Foidl University of Innsbruck, Michael Felderer University of Innsbruck, Rudolf Ramler Software Competence Center Hagenberg
Pre-print
10:30
15m
Research paper
Data smells in Public DatasetsResearch Paper
CAIN
Arumoy Shome Delft University of Technology, Luís Cruz Deflt University of Technology, Arie van Deursen Delft University of Technology, Netherlands
Pre-print
10:45
15m
Other
Discussion on Smells in AI
CAIN

11:00 - 11:15
11:15 - 12:15
Keynote Saleema AmershiCAIN at CAIN main room
Chair(s): Jane Cleland-Huang University of Notre Dame
11:15
60m
Keynote
Challenges in creating responsible and human-centered AI
CAIN
Saleema Amershi Microsoft Research
12:15 - 12:30
Closing and AwardsCAIN at CAIN main room
Chair(s): Jan Bosch Chalmers University of Technology, Jane Cleland-Huang University of Notre Dame, Helena Holmström Olsson Malmö University, Iva Krasteva Sofia University, GATE Institute, Lucy Ellen Lwakatare University of Helsinki, Henry Muccini University of L'Aquila, Italy, Ipek Ozkaya Carnegie Mellon Software Engineering Institute, Thomas Zimmermann Microsoft Research

Mon 16 May

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

Mon 16 May

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

Room6:001530457:001530458:001530459:0015304510:0015304511:0015304512:00153045
CAIN main room
CAIN
Poster Visits
08:45 - 09:15

Tue 17 May

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

Room6:001530457:001530458:001530459:0015304510:0015304511:0015304512:00153045
CAIN main room