Code Compliance Assessment as a Learning Problem (ICSE 2023 - SEIP - Software Engineering in Practice) - ICSE 2023

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Sun 14 - Sat 20 May 2023 Melbourne, Australia

Who

Neela Sawant, Srinivasan H. Sengamedu

Track

ICSE 2023 SEIP - Software Engineering in Practice

Time Zone

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When

Fri 19 May 2023 16:15 - 16:30 at Level G - Plenary Room 1 - Software quality Chair(s): Valentina Lenarduzzi

Neela Sawant

Amazon

India

Srinivasan H. Sengamedu

Amazon

United States

Time Zone

The program is currently displayed in (GMT+10:00) Hobart.

Use conference time zone: (GMT+10:00) HobartSelect 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

Fri 19 May
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	15:45 - 17:15	Software qualityJournal-First Papers / NIER - New Ideas and Emerging Results / SEIP - Software Engineering in Practice / Technical Track at Level G - Plenary Room 1 Chair(s): Valentina Lenarduzzi University of Oulu

	15:45 15m Talk		DuetCS: Code Style Transfer through Generation and Retrieval Technical Track Binger Chen Technische Universität Berlin, Ziawasch Abedjan Leibniz Universität Hannover
	16:00 15m Talk		Understanding Why and Predicting When Developers Adhere to Code-Quality Standards SEIP - Software Engineering in Practice Manish Motwani Georgia Institute of Technology, Yuriy Brun University of Massachusetts Pre-print
	16:15 15m Talk		Code Compliance Assessment as a Learning Problem SEIP - Software Engineering in Practice Neela Sawant Amazon, Srinivasan H. Sengamedu Amazon
	16:30 15m Talk		An Empirical Study on Quality Issues of Deep Learning Platform SEIP - Software Engineering in Practice Yanjie Gao Microsoft Research, Xiaoxiang Shi , Haoxiang Lin Microsoft Research, Hongyu Zhang The University of Newcastle, Hao Wu , Rui Li , Mao Yang Microsoft Research Pre-print
	16:45 7m Talk		Can static analysis tools find more defects? A qualitative study of design rule violations found by code review Journal-First Papers Sahar Mehrpour George Mason University, USA, Thomas LaToza George Mason University
	16:52 7m Talk		DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning Journal-First Papers Huy Tu North Carolina State University, USA, Tim Menzies North Carolina State University Link to publication Pre-print
	17:00 7m Talk		FIXME: synchronize with database! An empirical study of data access self-admitted technical debt Journal-First Papers Biruk Asmare Muse Polytechnique Montréal, Csaba Nagy Software Institute - USI, Lugano, Anthony Cleve University of Namur, Foutse Khomh Polytechnique Montréal, Giuliano Antoniol Polytechnique Montréal
	17:07 7m Talk		How does quality deviate in stable releases by backporting? NIER - New Ideas and Emerging Results Jarin Tasnim University of Saskatchewan, Debasish Chakroborti University of Saskatchewan, Chanchal K. Roy University of Saskatchewan, Kevin Schneider University of Saskatchewan Link to publication Pre-print