| |
Berg, Kristian
|
MaLTeSQuE '19: "SZZ Unleashed: An Open Implementation ..."
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
Article: fsews19maltesquemain-id6-p doi:10.1145/3340482.3342742
|
| |
Borg, Markus |
MaLTeSQuE '19: "SZZ Unleashed: An Open Implementation ..."
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
Article: fsews19maltesquemain-id6-p doi:10.1145/3340482.3342742
|
| |
De Lucia, Andrea
|
MaLTeSQuE '19: "On the Role of Data Balancing ..."
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
Article: fsews19maltesquemain-id7-p doi:10.1145/3340482.3342744
|
| |
De Roover, Coen |
MaLTeSQuE '19: "On the Role of Data Balancing ..."
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
Article: fsews19maltesquemain-id7-p doi:10.1145/3340482.3342744
|
| |
Di Nucci, Dario |
MaLTeSQuE '19: "On the Role of Data Balancing ..."
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
Article: fsews19maltesquemain-id7-p doi:10.1145/3340482.3342744
|
| |
Eldh, Sigrid
|
MaLTeSQuE '19: "Leveraging Mutants for Automatic ..."
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
Article: fsews19maltesquemain-id4-p doi:10.1145/3340482.3342741
|
| |
Felderer, Michael
|
MaLTeSQuE '19: "Risk-Based Data Validation ..."
Risk-Based Data Validation in Machine Learning-Based Software Systems
Harald Foidl and Michael Felderer
(University of Innsbruck, Austria)
@InProceedings{MaLTeSQuE19p13,
author = {Harald Foidl and Michael Felderer},
title = {Risk-Based Data Validation in Machine Learning-Based Software Systems},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {13-12},
doi = {10.1145/3340482.3342743},
year = {2019},
}
Publisher's Version
Article: fsews19maltesquemain-id2-p doi:10.1145/3340482.3342743
|
| |
Filchenkov, Andrey |
MaLTeSQuE '19: "A Machine Learning Based Automatic ..."
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
Article: fsews19maltesquemain-id9-p doi:10.1145/3340482.3342746
|
| |
Foidl, Harald |
MaLTeSQuE '19: "Risk-Based Data Validation ..."
Risk-Based Data Validation in Machine Learning-Based Software Systems
Harald Foidl and Michael Felderer
(University of Innsbruck, Austria)
@InProceedings{MaLTeSQuE19p13,
author = {Harald Foidl and Michael Felderer},
title = {Risk-Based Data Validation in Machine Learning-Based Software Systems},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {13-12},
doi = {10.1145/3340482.3342743},
year = {2019},
}
Publisher's Version
Article: fsews19maltesquemain-id2-p doi:10.1145/3340482.3342743
|
| |
Hansson, Daniel
|
MaLTeSQuE '19: "SZZ Unleashed: An Open Implementation ..."
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
Article: fsews19maltesquemain-id6-p doi:10.1145/3340482.3342742
|
| |
Haque, Md. Ariful |
MaLTeSQuE '19: "Classifying Non-functional ..."
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
Article: fsews19maltesquemain-id3-p doi:10.1145/3340482.3342745
|
| |
Lenarduzzi, Valentina
|
MaLTeSQuE '19: "Towards Surgically-Precise ..."
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
Article: fsews19maltesquemain-id11-p doi:10.1145/3340482.3342747
|
| |
Martini, Antonio
|
MaLTeSQuE '19: "Towards Surgically-Precise ..."
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
Article: fsews19maltesquemain-id11-p doi:10.1145/3340482.3342747
|
| |
Meinke, Karl |
MaLTeSQuE '19: "Leveraging Mutants for Automatic ..."
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
Article: fsews19maltesquemain-id4-p doi:10.1145/3340482.3342741
|
| |
Nair, Aravind
|
MaLTeSQuE '19: "Leveraging Mutants for Automatic ..."
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
Article: fsews19maltesquemain-id4-p doi:10.1145/3340482.3342741
|
| |
Pecorelli, Fabiano
|
MaLTeSQuE '19: "On the Role of Data Balancing ..."
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
Article: fsews19maltesquemain-id7-p doi:10.1145/3340482.3342744
|
| |
Rahman, Md. Abdur
|
MaLTeSQuE '19: "Classifying Non-functional ..."
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
Article: fsews19maltesquemain-id3-p doi:10.1145/3340482.3342745
|
| |
Siddik, Md. Saeed
|
MaLTeSQuE '19: "Classifying Non-functional ..."
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
Article: fsews19maltesquemain-id3-p doi:10.1145/3340482.3342745
|
| |
Svensson, Oscar |
MaLTeSQuE '19: "SZZ Unleashed: An Open Implementation ..."
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
Article: fsews19maltesquemain-id6-p doi:10.1145/3340482.3342742
|
| |
Taibi, Davide
|
MaLTeSQuE '19: "Towards Surgically-Precise ..."
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
Article: fsews19maltesquemain-id11-p doi:10.1145/3340482.3342747
|
| |
Tamburri, Damian Andrew |
MaLTeSQuE '19: "Towards Surgically-Precise ..."
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
Article: fsews19maltesquemain-id11-p doi:10.1145/3340482.3342747
|
| |
Tawhid, Md. Nurul Ahad |
MaLTeSQuE '19: "Classifying Non-functional ..."
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
Article: fsews19maltesquemain-id3-p doi:10.1145/3340482.3342745
|
| |
Viuginov, Nickolay
|
MaLTeSQuE '19: "A Machine Learning Based Automatic ..."
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
Article: fsews19maltesquemain-id9-p doi:10.1145/3340482.3342746
|