ICSE 2023 - Software quality Session

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

Code Compliance Assessment as a Learning Problem
SEIP - Software Engineering in Practice
Neela Sawant Amazon, Srinivasan H. Sengamedu Amazon

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

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

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

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

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