Asset Management in Machine Learning: A Survey (ICSE 2021 - SEIP - Software Engineering in Practice) - ICSE 2021

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Mon 17 May - Sat 5 June 2021

Who

Samuel Idowu, Daniel Strüber, Thorsten Berger

Track

ICSE 2021 SEIP - Software Engineering in Practice

Time Zone

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When

Tue 25 May 2021 19:35 - 19:55 at Blended Sessions Room 1 - 1.5.1. Deep Neural Networks: General Issues Chair(s): Ignacio Panach
Wed 26 May 2021 07:35 - 07:55 at Blended Sessions Room 1 - 1.5.1. Deep Neural Networks: General Issues

Link to Preprint

http://arxiv.org/abs/2102.06919

Samuel Idowu

Chalmers | University of Gothenburg

Sweden

Daniel Strüber

Radboud University Nijmegen

Netherlands

Thorsten Berger

Chalmers | University of Gothenburg

YT Video

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

Session Program

Tue 25 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

	19:35 - 20:55	1.5.1. Deep Neural Networks: General IssuesTechnical Track / Journal-First Papers / SEIP - Software Engineering in Practice at Blended Sessions Room 1 +12h Chair(s): Ignacio Panach Universidad de Valencia

	19:35 20m Paper		Asset Management in Machine Learning: A SurveySEIP SEIP - Software Engineering in Practice Samuel Idowu Chalmers \| University of Gothenburg, Daniel Strüber Radboud University Nijmegen, Thorsten Berger Chalmers \| University of Gothenburg Pre-print Media Attached
	19:55 20m Paper		An Empirical Study of Refactorings and Technical Debt in Machine Learning SystemsTechnical Track Technical Track Yiming Tang City University of New York (CUNY) Graduate Center, Raffi Khatchadourian CUNY Hunter College, Mehdi Bagherzadeh Oakland University, Rhia Singh City University of New York (CUNY) Macaulay Honors College, Ajani Stewart City University of New York (CUNY) Hunter College, Anita Raja City University of New York (CUNY) Hunter College Pre-print Media Attached
	20:15 20m Paper		Logram: Efficient Log Parsing Using n-Gram DictionariesJournal-First Journal-First Papers Hetong Dai Concordia University, Heng Li Polytechnique Montréal, Che-Shao Chen Concordia University, Weiyi Shang Concordia University, Tse-Hsun (Peter) Chen Concordia University DOI Pre-print Media Attached
	20:35 20m Paper		DeepLocalize: Fault Localization for Deep Neural NetworksTechnical Track Technical Track Mohammad Wardat Dept. of Computer Science, Iowa State University, Wei Le Dept. of Computer Science, Iowa State University, Hridesh Rajan Dept. of Computer Science, Iowa State University Pre-print Media Attached

Wed 26 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

	07:35 - 08:55	1.5.1. Deep Neural Networks: General IssuesTechnical Track / SEIP - Software Engineering in Practice / Journal-First Papers at Blended Sessions Room 1

	07:35 20m Paper		Asset Management in Machine Learning: A SurveySEIP SEIP - Software Engineering in Practice Samuel Idowu Chalmers \| University of Gothenburg, Daniel Strüber Radboud University Nijmegen, Thorsten Berger Chalmers \| University of Gothenburg Pre-print Media Attached
	07:55 20m Paper		An Empirical Study of Refactorings and Technical Debt in Machine Learning SystemsTechnical Track Technical Track Yiming Tang City University of New York (CUNY) Graduate Center, Raffi Khatchadourian CUNY Hunter College, Mehdi Bagherzadeh Oakland University, Rhia Singh City University of New York (CUNY) Macaulay Honors College, Ajani Stewart City University of New York (CUNY) Hunter College, Anita Raja City University of New York (CUNY) Hunter College Pre-print Media Attached
	08:15 20m Paper		Logram: Efficient Log Parsing Using n-Gram DictionariesJournal-First Journal-First Papers Hetong Dai Concordia University, Heng Li Polytechnique Montréal, Che-Shao Chen Concordia University, Weiyi Shang Concordia University, Tse-Hsun (Peter) Chen Concordia University DOI Pre-print Media Attached
	08:35 20m Paper		DeepLocalize: Fault Localization for Deep Neural NetworksTechnical Track Technical Track Mohammad Wardat Dept. of Computer Science, Iowa State University, Wei Le Dept. of Computer Science, Iowa State University, Hridesh Rajan Dept. of Computer Science, Iowa State University Pre-print Media Attached