CAIN main room - EMIP 2022

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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	BreakCAIN at CAIN main room

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 Beatriz Matsui UFABC, Denise Goya UFABC
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 Thandar 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	BreakCAIN at CAIN main room

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	BreakCAIN at CAIN main room

11:15 - 12:15	Keynote Christopher ReCAIN at CAIN main room Chair(s): Thomas Zimmermann Microsoft Research

11:15 60m Keynote		Software 2.0, Foundation Models, Data-Centric AI, and why I’m excited enough to tolerate these buzzwords CAIN Christopher Ré

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	BreakCAIN at CAIN main room

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	BreakCAIN at CAIN main room

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	BreakCAIN at CAIN main room

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


Room	6:00						30						7:00						30						8:00						30						9:00						30						10:00						30						11:00						30						12:00						30
CAIN main room	CAIN Welcome to CAIN						CAIN Quality Assurance												CAIN Break			CAIN Posters																		CAIN Break			CAIN Training & Learning																		CAIN Break			CAIN Keynote Christopher Re

Tue 17 May
Displayed time zone: Eastern Time (US & Canada) change


Room	6:00						30						7:00						30						8:00						30						9:00						30						10:00						30						11:00						30						12:00						30
CAIN main room	CAIN AI Engineering Practices																		CAIN Break			CAIN AI Models & Pipelines																		CAIN Break			CAIN AI Smells																		CAIN Break			CAIN Keynote Saleema Amershi												CAIN Closing and Awards

Mon 16 May
Displayed time zone: Eastern Time (US & Canada) change


Room	6:00			15			30			45			7:00			15			30			45			8:00			15			30			45			9:00			15			30			45			10:00			15			30			45			11:00			15			30			45			12:00			15			30			45
CAIN main room							CAINResearch Paper What is Software Quality for AI Engineers? Towards a Thinning of the Fog 06:30 - 06:45			CAINResearch Paper Exploring ML testing in practice - Lessons learned from an interactive ... 06:45 - 07:00			CAINResearch Paper Quality Assurance of Generative Dialog Models in an Evolving Conversati ... 07:00 - 07:15			CAIN Discussion on Quality Assurance 07:15 - 07:30						CAIN Activity: Networking Shuffle 07:45 - 08:15						CAINPoster MLOps: Five Steps to Guide its Effective Implementation 08:15 - 08:18	CAINPoster Towards A Methodological Framework for Production-ready AI-based Softwa ... 08:18 - 08:21	CAINPoster Preliminary Insights to enable automation of the Software Development P ... 08:21 - 08:24	CAINPoster Identification of Out-of-Distribution Cases of CNN using Class-Based Su ... 08:24 - 08:27	CAINPoster Robust Active Learning: Sample-Efficient Training of Robust Deep Learni ... 08:27 - 08:30	CAINPoster A New Approach for Machine Learning Security Risk Assessment 08:30 - 08:33	CAINPoster TopSelect: A Topology-based Feature Selection Method for Industrial Mac ... 08:33 - 08:36	CAINPoster Pynblint: a Static Analyzer for Python Jupyter Notebooks 08:36 - 08:39	CAINPoster Traceable Business-to-Safety Analysis Framework for Safety-critical Mac ... 08:39 - 08:42	CAINPoster Structural Causal Models as Boundary Objects in AI System Development 08:42 - 08:45	CAIN Poster Visits 08:45 - 09:15									CAINResearch Paper An Empirical Evaluation of Flow Based Programming in the Machine Learni ... 09:30 - 09:45			CAINResearch Paper Automatic Checkpointing and Deterministic Training for Deep Learning 09:45 - 10:00			CAINResearch Paper Influence-Driven Data Poisoning in Graph-Based Semi-Supervised Classifiers 10:00 - 10:15			CAINIndustry Talk Engineering a Platform for Reinforcement Learning Workloads 10:15 - 10:30			CAINResearch Paper Method Cards for Prescriptive Machine-Learning Transparency 10:30 - 10:45			CAIN Discussion on Training & Learning 10:45 - 11:00						CAIN Software 2.0, Foundation Models, Data-Centric AI, and why I’m excited e ... 11:15 - 12:15

Tue 17 May
Displayed time zone: Eastern Time (US & Canada) change


Room	6:00			15			30			45			7:00			15			30			45			8:00			15			30			45			9:00			15			30			45			10:00			15			30			45			11:00			15			30			45			12:00			15			30			45
CAIN main room	CAINResearch Paper Towards a Roadmap for Software Engineering for Responsible AI 06:00 - 06:15			CAINResearch Paper AI Governance in the System Development Life Cycle: Insights on Respons ... 06:15 - 06:30			CAINResearch Paper The Goldilocks Framework: Towards Selecting the Optimal Approach to Con ... 06:30 - 06:45			CAINResearch Paper What Is an AI Engineer? An Empirical Analysis of Job Ads in the Netherlands 06:45 - 07:00			CAINResearch Paper Data is about Detail: An Empirical Investigation for Software Systems w ... 07:00 - 07:15			CAIN Discussion on AI Engineering Practices 07:15 - 07:30						CAINIndustry Talk Practical Insights of Repairing Model Problems on Image Classification 07:45 - 08:00			CAINResearch Paper UDAVA: An Unsupervised Learning Pipeline for Sensor Data Validation in ... 08:00 - 08:15			CAINResearch Paper Black-Box Models for Non-Functional Properties of AI Software Systems 08:15 - 08:30			CAINResearch Paper Improving Generalizability of ML-enabled Software through Domain Specif ... 08:30 - 08:45			CAINResearch Paper Data Sovereignty for AI Pipelines: Lessons Learned from an Industrial P ... 08:45 - 09:00			CAIN Discussion on AI Models & Pipelines 09:00 - 09:15						CAIN Activity: Brainwriting 09:30 - 10:00						CAINResearch Paper Code Smells for Machine Learning Applications 10:00 - 10:15			CAINResearch Paper Data Smells: Categories, Causes and Consequences, and Detection of Susp ... 10:15 - 10:30			CAINResearch Paper Data smells in Public Datasets 10:30 - 10:45			CAIN Discussion on Smells in AI 10:45 - 11:00						CAIN Challenges in creating responsible and human-centered AI 11:15 - 12:15

Room information: CAIN main room

Mon 16 May
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Tue 17 May
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Mon 16 May
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Mon 16 May
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