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SEA4DQ 2024 Workshop Summary

Abstract

Welcome to the sixth edition of the workshop on Machine Learning Techniques for Software Quality Evaluation (SEA4DQ 2024), held in Brazil, July 16th, 2024, co-located with ESEC / FSE 2024 [1]. Three papers from all over the world were submitted, and all of them were accepted based on the overall positive reviews. The program also featured two keynotes by Denys Poshyvanyk on Towards an Interpretable Science of Deep Learning for Software Engineering: A Causal Inference View and Qinghua Lu on Responsible AI Engineering from A Data Perspective.
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Category

Academic article

Language

English

Author(s)

  • Tim Menzies
  • Bowen Xu
  • Hong Jin Kang
  • Jie M. Zhang
  • Jiri Gesi
  • Sagar Sen
  • Beatriz Cassoli
  • Nicolas Jourdan
  • Jieke Shi
  • Phu Nguyen
  • Valentina Golendukhina

Affiliation

  • SINTEF Digital / Sustainable Communication Technologies
  • King's College London
  • Darmstadt University of Technology
  • University of Innsbruck
  • Singapore Management University
  • University of California, Los Angeles (UCLA)
  • North Carolina State University
  • Amazon.com, Inc

Year

2024

Published in

Software engineering notes

ISSN

0163-5948

Volume

49

Issue

4

Page(s)

29 - 30

View this publication at Norwegian Research Information Repository