MaLTeSQuE 2022 Workshop Summary

Maxime Cordy, Xiaofei Xie, Bowen Xu, Bibi Stamatia
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Abstract

Welcome to the sixth edition of the workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2022), held in Singapore, November 18th, 2022, co-located with ESEC / FSE 2022 [1]. Six papers from all over the world were submitted, five of them were accepted. The program also featured two keynotes by Yuriy Brun on the promise and perils of using machine learning when engineering software and Mike Papadakis on the best practices in assessment of deep learning testing methods.
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MaLTeSQuE 2022研讨会总结
欢迎参加第六届软件质量评估机器学习技术研讨会(MaLTeSQuE 2022),该研讨会于2022年11月18日在新加坡举行,与ESEC / FSE 2022同址[1]。来自世界各地的论文共提交6篇,其中5篇被录用。该计划还包括两个主题演讲,分别是Yuriy brown在工程软件中使用机器学习的前景和风险,以及Mike Papadakis在深度学习测试方法评估中的最佳实践。
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