The Prevalence of Code Smells in Machine Learning projects (WAIN'21 - - 1st Workshop on AI Engineering

Who

Bart van Oort, Luís Cruz, Maurício Aniche, Arie van Deursen

Track

WAIN'21

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When

Mon 31 May 2021 09:20 - 09:40 at WAIN Room - Session 3: Software engineering lifecycle phases for AI systems Chair(s): Per Runeson

Link to Preprint

https://arxiv.org/abs/2103.04146

Bart van Oort

Luís Cruz

Deflt University of Technology

Netherlands

Maurício Aniche

Delft University of Technology

Netherlands

Arie van Deursen

Delft University of Technology, Netherlands

Netherlands

Media

Time Zone

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

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Session Program

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'21 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'21 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'21 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'21 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'21 Juha-Pekka Joutsenlahti , Timo Lehtonen , Mikko Raatikainen , Elina Kettunen , Tommi Mikkonen Tampere University of Technology Pre-print Media Attached

Information for Participants

Mon 31 May 2021 09:00 - 10:00 at WAIN Room - Session 3: Software engineering lifecycle phases for AI systems Chair(s): Per Runeson

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