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 - Abstracts - 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 BrunORCID logo
(University of Massachusetts at Amherst, USA)
Publisher's Version

Machine Learning for Code Assessment

Neural Language Models for Code Quality Identification
Srinivasan Sengamedu ORCID logo 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 ORCID logo, Chun Yong ChongORCID logo, and Mei Kuan LimORCID logo
(Monash University, Malaysia)
Publisher's Version Published Artifact Artifacts Available
Using Machine Learning to Guide the Application of Software Refactorings: A Preliminary Exploration
Nikolaos Nikolaidis ORCID logo, Dimitrios Zisis ORCID logo, Apostolos Ampatzoglou ORCID logo, Nikolaos Mittas ORCID logo, and Alexander ChatzigeorgiouORCID logo
(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 ORCID logo, Xie Qiaoluan, Li Yong, Xu Yang, and Choi Hyun-Deok
(SAP Labs, China; SAP Labs, South Korea)
Publisher's Version

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