ESEC/FSE 2022 CoLos
30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022)
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6th International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2022)
,
November 18, 2022
,
Singapore, Singapore
MaLTeSQuE 2022 – Proceedings
Contents
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Abstracts
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Authors
Twitter:
https://twitter.com/esecfse
6th International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2022)
Frontmatter
Title Page
Message from the Chairs
Keynote
The Promise and Perils of Using Machine Learning When Engineering Software (Keynote Paper)
Yuriy Brun
(University of Massachusetts at Amherst, USA)
Publisher's Version
Machine Learning for Code Assessment
Neural Language Models for Code Quality Identification
Srinivasan Sengamedu
and Hangqi Zhao
(Amazon, USA; Twitter, USA)
Publisher's Version
Are Machine Programming Systems using Right Source-Code Measures to Select Code Repositories?
Niranjan Hasabnis
(Intel Corporation, USA)
Publisher's Version
Machine Learning for Software Processes
On the Application of Machine Learning Models to Assess and Predict Software Reusability
Matthew Yit Hang Yeow
,
Chun Yong Chong
, and
Mei Kuan Lim
(Monash University, Malaysia)
Publisher's Version
Using Machine Learning to Guide the Application of Software Refactorings: A Preliminary Exploration
Nikolaos Nikolaidis
,
Dimitrios Zisis
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Apostolos Ampatzoglou
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Nikolaos Mittas
, and
Alexander Chatzigeorgiou
(University of Macedonia, Greece; Accenture, Greece; International Hellenic University, Greece)
Publisher's Version
DeepCrash: Deep Metric Learning for Crash Bucketing Based on Stack Trace
Liu Chao
, Xie Qiaoluan, Li Yong, Xu Yang, and Choi Hyun-Deok
(SAP Labs, China; SAP Labs, South Korea)
Publisher's Version
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