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4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2020), November 13, 2020,
Virtual, USA
4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2020)
Frontmatter
Anti-patterns
A Preliminary Study on the Adequacy of Static Analysis Warnings with Respect to Code Smell Prediction
Savanna Lujan,
Fabiano Pecorelli,
Fabio Palomba,
Andrea De Lucia, and
Valentina Lenarduzzi
(Tampere University, Finland; University of Salerno, Italy; LUT University, Finland)
@InProceedings{MaLTeSQuE20p1,
author = {Savanna Lujan and Fabiano Pecorelli and Fabio Palomba and Andrea De Lucia and Valentina Lenarduzzi},
title = {A Preliminary Study on the Adequacy of Static Analysis Warnings with Respect to Code Smell Prediction},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {1-0},
doi = {10.1145/3416505.3423559},
year = {2020},
}
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 Palomba,
Damian A. Tamburri, and
Willem-Jan van den Heuvel
(Tilburg University, Netherlands; JADS, Netherlands; Eindhoven University of Technology, Netherlands; University of Salerno, Italy)
@InProceedings{MaLTeSQuE20p7,
author = {Nemania Borovits and Indika Kumara and Parvathy Krishnan and Stefano Dalla Palma and Dario Di Nucci and Fabio Palomba and Damian A. Tamburri and Willem-Jan van den Heuvel},
title = {DeepIaC: Deep Learning-Based Linguistic Anti-pattern Detection in IaC},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {7-6},
doi = {10.1145/3416505.3423564},
year = {2020},
}
Publisher's Version
Anomalies and Defects
RARE: A Labeled Dataset for Cloud-Native Memory Anomalies
Francesco Lomio,
Diego Martínez Baselga,
Sergio Moreschini,
Heikki Huttunen, and
Davide Taibi
(Tampere University, Finland)
@InProceedings{MaLTeSQuE20p19,
author = {Francesco Lomio and Diego Martínez Baselga and Sergio Moreschini and Heikki Huttunen and Davide Taibi},
title = {RARE: A Labeled Dataset for Cloud-Native Memory Anomalies},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {19-18},
doi = {10.1145/3416505.3423560},
year = {2020},
}
Publisher's Version
TraceSim: A Method for Calculating Stack Trace Similarity
Roman Vasiliev,
Dmitrij Koznov,
George Chernishev,
Aleksandr Khvorov,
Dmitry Luciv, and
Nikita Povarov
(JetBrains, Russia; Saint-Petersburg State University, Russia; ITMO University, Russia)
@InProceedings{MaLTeSQuE20p25,
author = {Roman Vasiliev and Dmitrij Koznov and George Chernishev and Aleksandr Khvorov and Dmitry Luciv and Nikita Povarov},
title = {TraceSim: A Method for Calculating Stack Trace Similarity},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {25-24},
doi = {10.1145/3416505.3423561},
year = {2020},
}
Publisher's Version
Singling the Odd Ones Out: A Novelty Detection Approach to Find Defects in Infrastructure-as-Code
Stefano Dalla Palma,
Majid Mohammadi,
Dario Di Nucci, and
Damian A. Tamburri
(Tilburg University, Netherlands; JADS, Netherlands; Eindhoven University of Technology, Netherlands)
@InProceedings{MaLTeSQuE20p31,
author = {Stefano Dalla Palma and Majid Mohammadi and Dario Di Nucci and Damian A. Tamburri},
title = {Singling the Odd Ones Out: A Novelty Detection Approach to Find Defects in Infrastructure-as-Code},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {31-30},
doi = {10.1145/3416505.3423563},
year = {2020},
}
Publisher's Version
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