ESEC/FSE 2020 Workshops
28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020)
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4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2020), November 13, 2020, Virtual, USA

MaLTeSQuE 2020 – Proceedings

Contents - Abstracts - Authors
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4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2020)

Frontmatter

Title Page
Welcome from the Chairs

Anti-patterns

A Preliminary Study on the Adequacy of Static Analysis Warnings with Respect to Code Smell Prediction
Savanna Lujan, Fabiano Pecorelli, Fabio PalombaORCID logo, Andrea De LuciaORCID logo, and Valentina Lenarduzzi
(Tampere University, Finland; University of Salerno, Italy; LUT University, Finland)
Publisher's Version
DeepIaC: Deep Learning-Based Linguistic Anti-pattern Detection in IaC
Nemania Borovits, Indika Kumara, Parvathy Krishnan, Stefano Dalla Palma, Dario Di Nucci, Fabio PalombaORCID logo, Damian A. Tamburri, and Willem-Jan van den Heuvel
(Tilburg University, Netherlands; JADS, Netherlands; Eindhoven University of Technology, Netherlands; University of Salerno, Italy)
Publisher's Version
Speeding Up the Data Extraction of Machine Learning Approaches: A Distributed Framework
Martin Steinhauer and Fabio PalombaORCID logo
(University of Salerno, Italy)
Publisher's Version

Anomalies and Defects

RARE: A Labeled Dataset for Cloud-Native Memory Anomalies
Francesco LomioORCID logo, Diego Martínez Baselga, Sergio Moreschini, Heikki Huttunen, and Davide Taibi ORCID logo
(Tampere University, Finland)
Publisher's Version
TraceSim: A Method for Calculating Stack Trace Similarity
Roman Vasiliev ORCID logo, Dmitrij Koznov ORCID logo, George ChernishevORCID logo, Aleksandr Khvorov ORCID logo, Dmitry LucivORCID logo, and Nikita Povarov ORCID logo
(JetBrains, Russia; Saint-Petersburg State University, Russia; ITMO University, Russia)
Publisher's Version
Singling the Odd Ones Out: A Novelty Detection Approach to Find Defects in Infrastructure-as-Code
Stefano Dalla Palma ORCID logo, Majid Mohammadi, Dario Di Nucci, and Damian A. Tamburri
(Tilburg University, Netherlands; JADS, Netherlands; Eindhoven University of Technology, Netherlands)
Publisher's Version

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