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3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2019), August 27, 2019,
Tallinn, Estonia
3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2019)
Frontmatter
Testing and Debugging
Leveraging Mutants for Automatic Prediction of Metamorphic Relations using Machine Learning
Aravind Nair,
Karl Meinke, and
Sigrid Eldh
(KTH, Sweden; Ericsson, Sweden)
@InProceedings{MaLTeSQuE19p1,
author = {Aravind Nair and Karl Meinke and Sigrid Eldh},
title = {Leveraging Mutants for Automatic Prediction of Metamorphic Relations using Machine Learning},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {1-0},
doi = {10.1145/3340482.3342741},
year = {2019},
}
Publisher's Version
SZZ Unleashed: An Open Implementation of the SZZ Algorithm - Featuring Example Usage in a Study of Just-in-Time Bug Prediction for the Jenkins Project
Markus Borg,
Oscar Svensson,
Kristian Berg, and
Daniel Hansson
(RISE SICS, Sweden; Lund University, Sweden; Verifyter, Sweden)
@InProceedings{MaLTeSQuE19p7,
author = {Markus Borg and Oscar Svensson and Kristian Berg and Daniel Hansson},
title = {SZZ Unleashed: An Open Implementation of the SZZ Algorithm - Featuring Example Usage in a Study of Just-in-Time Bug Prediction for the Jenkins Project},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {7-6},
doi = {10.1145/3340482.3342742},
year = {2019},
}
Publisher's Version
On the Role of Data
On the Role of Data Balancing for Machine Learning-Based Code Smell Detection
Fabiano Pecorelli,
Dario Di Nucci,
Coen De Roover, and
Andrea De Lucia
(University of Salerno, Italy; Vrije Universiteit Brussel, Belgium)
@InProceedings{MaLTeSQuE19p19,
author = {Fabiano Pecorelli and Dario Di Nucci and Coen De Roover and Andrea De Lucia},
title = {On the Role of Data Balancing for Machine Learning-Based Code Smell Detection},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {19-18},
doi = {10.1145/3340482.3342744},
year = {2019},
}
Publisher's Version
Quality Attributes
Classifying Non-functional Requirements using RNN Variants for Quality Software Development
Md. Abdur Rahman,
Md. Ariful Haque,
Md. Nurul Ahad Tawhid, and
Md. Saeed Siddik
(University of Dhaka, Bangladesh)
@InProceedings{MaLTeSQuE19p25,
author = {Md. Abdur Rahman and Md. Ariful Haque and Md. Nurul Ahad Tawhid and Md. Saeed Siddik},
title = {Classifying Non-functional Requirements using RNN Variants for Quality Software Development},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {25-24},
doi = {10.1145/3340482.3342745},
year = {2019},
}
Publisher's Version
A Machine Learning Based Automatic Folding of Dynamically Typed Languages
Nickolay Viuginov and
Andrey Filchenkov
(JetBrains, Russia; ITMO University, Russia)
@InProceedings{MaLTeSQuE19p31,
author = {Nickolay Viuginov and Andrey Filchenkov},
title = {A Machine Learning Based Automatic Folding of Dynamically Typed Languages},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {31-30},
doi = {10.1145/3340482.3342746},
year = {2019},
}
Publisher's Version
Towards Surgically-Precise Technical Debt Estimation: Early Results and Research Roadmap
Valentina Lenarduzzi,
Antonio Martini,
Davide Taibi, and
Damian Andrew Tamburri
(Tampere University, Finland; University of Oslo, Norway; Eindhoven University of Technology, Netherlands)
@InProceedings{MaLTeSQuE19p37,
author = {Valentina Lenarduzzi and Antonio Martini and Davide Taibi and Damian Andrew Tamburri},
title = {Towards Surgically-Precise Technical Debt Estimation: Early Results and Research Roadmap},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {37-36},
doi = {10.1145/3340482.3342747},
year = {2019},
}
Publisher's Version
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