WAIN Room - WETSEB 2021

VenueWorkshops

Room nameWAIN Room

Room InformationNo extra information available

Information for Participants

Info for room WAIN Room:

Go directly to this room on Clowdr

Program

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

Use conference time zone: (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, ViennaSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Save

You're viewing the program in a time zone which is different from your device's time zone change time zone

Sun 30 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

13:00 - 13:15	Opening SessionWAIN at WAIN Room Chair(s): Jan Bosch Chalmers University of Technology, Ivica Crnkovic Chalmers University of Technology, Helena Holmström Olsson Malmö University, Lucy Ellen Lwakatare University of Helsinki, Finland

13:00 15m Talk		Opening session WAIN Ivica Crnkovic Chalmers University of Technology, Jan Bosch Chalmers University of Technology, Helena Holmström Olsson Malmö University, Lucy Ellen Lwakatare University of Helsinki, Finland Media Attached

13:15 - 14:15	WAIN'21 Keynote 1WAIN at WAIN Room Chair(s): Ivica Crnkovic Chalmers University of Technology

13:15 60m Keynote		Lionel Briand, Trustworthy Machine Learning-Enabled Systems WAIN Lionel Briand University of Luxembourg and University of Ottawa Media Attached

	14:15 - 14:30	Speed dating IWAIN at WAIN Room

	14:30 - 15:00	Virtual Coffee Break IWAIN at WAIN Room

15:00 - 16:00	Session 1: Challenges in developing Machine-Learning-Enabled Systems - Experience from the trenches.WAIN at WAIN Room Chair(s): Henry Muccini University of L'Aquila, Italy

15:00 20m Paper		Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems WAIN Grace Lewis Carnegie Mellon Software Engineering Institute, Stephany Bellomo Software Engineering Institute, Ipek Ozkaya Carnegie Mellon Software Engineering Institute Pre-print Media Attached
15:20 20m Talk		Linnaeus: A highly reusable and adaptable ML based log classification pipeline WAIN Armin Catovic Schibsted, Carolyn Cartwright , Yasmin Tesfaldet Gebreyesus , Simone Ferlin Media Attached
15:40 10m Paper		Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. WAIN Filippo Lanubile University of Bari, Fabio Calefato University of Bari, Luigi Quaranta University of Bari, Italy, Maddalena Amoruso , Fabio Fumarola , michele filannino Pre-print Media Attached
15:50 10m Paper		Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help? WAIN Sasu Mäkinen , Henrik Skogström , Tommi Mikkonen University of Helsinki Pre-print Media Attached

	16:00 - 16:15	Speed dating IIWAIN at WAIN Room

	16:15 - 16:30	Virtual Coffee Break IIWAIN at WAIN Room

16:30 - 17:30	Session 2: Engineering Trustworthy AI SystemsWAIN at WAIN Room Chair(s): Aneta Vulgarakis Ericsson, SE

16:30 20m Full-paper		Robust Machine Learning in Critical Care - Software Engineering and Medical Perspectives WAIN Miroslaw Staron University of Gothenburg, Helena Odenstedt Herges Pre-print Media Attached
16:50 20m Full-paper		MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases WAIN Tuomas Granlund , Aleksi Kopponen , Vlad Stirbu , Lalli Myllyaho , Tommi Mikkonen University of Helsinki Pre-print Media Attached
17:10 10m Short-paper		Towards Risk Modeling for Collaborative AI WAIN Matteo Camilli Free University of Bozen-Bolzano, Michael Felderer University of Innsbruck, Andrea Giusti , Anna Perini Fondazione Bruno Kessler, Barbara Russo Free University of Bolzano, Angelo Susi Fondazione Bruno Kessler Pre-print Media Attached
17:20 10m Short-paper		Practices for Engineering Trustworthy Machine Learning Applications WAIN Alex Serban Radboud University, Koen van der Blom , Holger Hoos , Joost Visser Leiden University Pre-print Media Attached

17:30 - 18:00	Position papers presentationsWAIN at WAIN Room Chair(s): Luís Cruz Deflt University of Technology Position papers Q&A: https://www.youtube.com/watch?v=Q6UkO1OEeKY&list=PLXTjhGKkSnI8Y7SiHurzzadsOwaJaFLXs&index=27

17:30 7m Talk		Position paper: Why we need to align academic education and industry requirements with respect to Machine Learning WAIN Filip Cornell , Fredrik Olsson Pre-print Media Attached
17:37 7m Talk		Product Engineering for Machine Learning: A Grey Literature Review WAIN Isaque Alves University of Brasilia (UnB), Leonardo Alexandre Ferreira Leite University of São Paulo, Paulo Meirelles University of São Paulo, Carla Silva Rocha Aguiar unb Pre-print Media Attached
17:45 7m Other		Technical Debt in Industrial AI Research Projects WAIN Marco Trincavelli , Georgios Deligiorgis , Misbah Uddin , Errol Koolmeister H&M, Andreas Tjernsten Pre-print Media Attached
17:52 7m Talk		Verbatim Machine Learning Model Manifestation in Manageable Neighborhoods WAIN Xianlong Zeng , Fanghao Song , Zhongen Li , Krerkkiat Chusap , Chang Liu Pre-print Media Attached

Mon 31 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

09:00 - 10:00	Session 3: Software engineering lifecycle phases for AI systemsWAIN at WAIN Room Chair(s): Per Runeson Lund University

09:00 20m Full-paper		Concepts in Testing of Autonomous Systems: Academic Literature and Industry Practice WAIN Qunying Song Lund University, Emelie Engstrom Lund University, Per Runeson Lund University Pre-print Media Attached
09:20 20m Full-paper		The Prevalence of Code Smells in Machine Learning projects WAIN Bart van Oort , Luís Cruz Deflt University of Technology, Maurício Aniche Delft University of Technology, Arie van Deursen Delft University of Technology, Netherlands Pre-print Media Attached
09:40 10m Short-paper		Systematic Mapping Study on the Machine Learning Lifecycle WAIN Yuanhao Xie , Luís Cruz Deflt University of Technology, Petra Heck Fontys ICT, Jan S. Rellermeyer TU Delft Pre-print Media Attached
09:50 10m Short-paper		Challenges and Governance Solutions for Data Science Services based on Open Data and APIs WAIN Juha-Pekka Joutsenlahti , Timo Lehtonen , Mikko Raatikainen , Elina Kettunen , Tommi Mikkonen Tampere University of Technology Pre-print Media Attached

	10:00 - 10:15	Speed dating IIIWAIN at WAIN Room

10:15 - 11:15	Session 4: Applying ML technologiesWAIN at WAIN Room Chair(s): David Lo Singapore Management University

10:15 20m Full-paper		Corner Case Data Description and Detection WAIN Tinghui Ouyang Pre-print Media Attached
10:35 20m Full-paper		Integration of Convolutional Neural Networks in Mobile Applications WAIN Roger Creus Universitat Politècnica de Catalunya, Silverio Martínez-Fernández UPC-BarcelonaTech, Xavier Franch Universitat Politècnica de Catalunya Pre-print Media Attached
10:55 10m Short-paper		Data acquisition and the implication of machine learning in the development of a Clinical Decision Support system WAIN Milan Unger Media Attached
11:05 10m Short-paper		Data collection and Acceleration Infrastructure for FPGA-based Edge AI Applications WAIN Hergys Rexha Åbo Akademi University, Sebastien Lafond Åbo Akademi University Pre-print Media Attached

	11:15 - 11:30	Virtual Coffee Break IIIWAIN at WAIN Room

11:30 - 12:30	WAIN'21 Industry PanelWAIN at WAIN Room Chair(s): Helena Holmström Olsson Malmö University

11:30 60m Talk		Industry panel WAIN P: Elena Fersman Ericsson & KTH Royal Institute of Technology, P: Roland Weiss ABB, P: Aleksander Fabijan Microsoft, A: Björn Brinne Peltarion, SE Media Attached

	12:30 - 13:30	LunchWAIN at WAIN Room

13:30 - 14:30	WAIN'21 Keynote 2WAIN at WAIN Room

13:30 60m Keynote		Errol Koolmeister: Engineering AI at H&M group WAIN Errol Koolmeister H&M Media Attached

	14:30 - 14:45	Speed dating IVWAIN at WAIN Room

	14:45 - 15:00	Virtual Coffee Break VWAIN at WAIN Room

15:00 - 16:00	Session 5: Designing AI systems IWAIN at WAIN Room Chair(s): Grace Lewis Carnegie Mellon Software Engineering Institute

15:00 20m Full-paper		Requirement engineering challenges for AI-intense distributed systems WAIN Hans-Martin Heyn University of Gothenburg & Chalmers University of Technology, Eric Knauss Chalmers \| University of Gothenburg, Amna Pir Muhammad Pre-print Media Attached
15:20 20m Full-paper		Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems WAIN Sophia Abraham University of Notre Dame, Zachariah Carmichael University of Notre Dame, Rosaura VidalMata University of Notre Dame, Sreya Banerjee , Ankit Agrawal University of Notre Dame, Md Nafee Al Islam , Walter Scheirer , Jane Cleland-Huang University of Notre Dame Pre-print Media Attached
15:40 20m Full-paper		Software Architecture for ML-based Systems: What Exists and What Lies Ahead WAIN Henry Muccini University of L'Aquila, Italy, Karthik Vaidhyanathan University of L'Aquila Pre-print Media Attached

	16:00 - 16:15	Speed dating VWAIN at WAIN Room

16:15 - 17:00	Session 6: Designing AI systems IIWAIN at WAIN Room Chair(s): Raghu Sangwan Pennsylvania State University

16:15 20m Full-paper		Understanding and Modeling AI-Intensive System Development WAIN Luigi Lavazza Università degli Studi dell'Insubria, Sandro Morasca Università degli Studi dell'Insubria Pre-print Media Attached
16:35 10m Short-paper		Engineering an Intelligent Essay Scoring and Feedback System: An Experience Report WAIN Akriti Chadda , Raman Chandrasekar , Ian Gorton Northeastern University – Seattle, USA Pre-print Media Attached
16:45 10m Short-paper		Lessons Learned from Educating AI Engineers WAIN Petra Heck Fontys ICT Pre-print Media Attached

17:00 - 18:00	WAIN'21 Research&Academic PanelWAIN at WAIN Room Chair(s): Jan Bosch Chalmers University of Technology

17:00 60m Talk		Research&Academic Panel WAIN P: Jane Cleland-Huang University of Notre Dame, P: Ipek Ozkaya Carnegie Mellon Software Engineering Institute, P: Barbara Plank IT University of Copenhagen, DK, P: Brian Fitzgerald Lero - The Irish Software Research Centre and University of Limerick, P: Ian Gorton Northeastern University – Seattle, USA Media Attached

	18:00 - 18:05	Closing sessionWAIN at WAIN Room https://www.youtube.com/watch?v=oUGFNJsimrI&list=PLXTjhGKkSnI8Y7SiHurzzadsOwaJaFLXs&index=33

Sun 30 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change


Room	13:00						30						14:00						30						15:00						30						16:00						30						17:00						30
WAIN Room	WAIN Opening Session			WAIN WAIN'21 Keynote 1												WAIN Speed dating I			WAIN Virtual Coffee Break I						WAIN Session 1: Challenges in developing Machine-Learning-Enabled Systems - Experience from the trenches.												WAIN Speed dating II			WAIN Virtual Coffee Break II			WAIN Session 2: Engineering Trustworthy AI Systems												WAIN Position papers presentations

Mon 31 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change


Room	9:00						30						10:00						30						11:00						30						12:00						30						13:00						30						14:00						30						15:00						30						16:00						30						17:00						30						18:00						30
WAIN Room	WAIN Session 3: Software engineering lifecycle phases for AI systems												WAIN Speed dating III			WAIN Session 4: Applying ML technologies												WAIN Virtual Coffee Break III			WAIN WAIN'21 Industry Panel												WAIN Lunch												WAIN WAIN'21 Keynote 2												WAIN Speed dating IV			WAIN Virtual Coffee Break V			WAIN Session 5: Designing AI systems I												WAIN Speed dating V			WAIN Session 6: Designing AI systems II									WAIN WAIN'21 Research&Academic Panel												WAIN Closing session

Sun 30 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change


Room	13:00			15			30			45			14:00			15			30			45			15:00			15			30			45			16:00			15			30			45			17:00			15			30			45
WAIN Room	WAIN Opening session 13:00 - 13:15			WAIN Lionel Briand, Trustworthy Machine Learning-Enabled Systems 13:15 - 14:15																					WAIN Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems 15:00 - 15:20				WAIN Linnaeus: A highly reusable and adaptable ML based log classification p ... 15:20 - 15:40				WAIN Towards Productizing AI/ML Models: An Industry Perspective from Data Sc ... 15:40 - 15:50		WAIN Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can ML ... 15:50 - 16:00								WAIN Robust Machine Learning in Critical Care - Software Engineering and Med ... 16:30 - 16:50				WAIN MLOps Challenges in Multi-Organization Setup: Experiences from Two Real ... 16:50 - 17:10				WAIN Towards Risk Modeling for Collaborative AI 17:10 - 17:20		WAIN Practices for Engineering Trustworthy Machine Learning Applications 17:20 - 17:30		WAIN Position paper: Why we need to align academic education and industry re ... 17:30 - 17:37	WAIN Product Engineering for Machine Learning: A Grey Literature Review 17:37 - 17:45		WAIN Technical Debt in Industrial AI Research Projects 17:45 - 17:52	WAIN Verbatim Machine Learning Model Manifestation in Manageable Neighborhoods 17:52 - 18:00

Mon 31 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change


Room	9:00			15			30			45			10:00			15			30			45			11:00			15			30			45			12:00			15			30			45			13:00			15			30			45			14:00			15			30			45			15:00			15			30			45			16:00			15			30			45			17:00			15			30			45
WAIN Room	WAIN Concepts in Testing of Autonomous Systems: Academic Literature and Indu ... 09:00 - 09:20				WAIN The Prevalence of Code Smells in Machine Learning projects 09:20 - 09:40				WAIN Systematic Mapping Study on the Machine Learning Lifecycle 09:40 - 09:50		WAIN Challenges and Governance Solutions for Data Science Services based on ... 09:50 - 10:00					WAIN Corner Case Data Description and Detection 10:15 - 10:35				WAIN Integration of Convolutional Neural Networks in Mobile Applications 10:35 - 10:55				WAIN Data acquisition and the implication of machine learning in the develop ... 10:55 - 11:05		WAIN Data collection and Acceleration Infrastructure for FPGA-based Edge AI ... 11:05 - 11:15					WAIN Industry panel 11:30 - 12:30																								WAIN Errol Koolmeister: Engineering AI at H&M group 13:30 - 14:30																		WAIN Requirement engineering challenges for AI-intense distributed systems 15:00 - 15:20				WAIN Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems 15:20 - 15:40				WAIN Software Architecture for ML-based Systems: What Exists and What Lies Ahead 15:40 - 16:00							WAIN Understanding and Modeling AI-Intensive System Development 16:15 - 16:35				WAIN Engineering an Intelligent Essay Scoring and Feedback System: An Experi ... 16:35 - 16:45		WAIN Lessons Learned from Educating AI Engineers 16:45 - 16:55			WAIN Research&Academic Panel 17:00 - 18:00

Room information: WAIN Room

Go directly to this room on Clowdr

Sun 30 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Mon 31 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Sun 30 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

Mon 31 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

Sun 30 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Mon 31 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Tracks

Room information: WAIN Room

Program Display Configuration

Sun 30 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Mon 31 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Sun 30 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

Mon 31 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

WAIN

Sun 30 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Mon 31 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Information for Participants

Sun 30 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Mon 31 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Sun 30 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Mon 31 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Sun 30 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

Mon 31 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change