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Ampatzoglou, Apostolos
|
MaLTeSQuE '22: "Using Machine Learning to ..."
Using Machine Learning to Guide the Application of Software Refactorings: A Preliminary Exploration
Nikolaos Nikolaidis, Dimitrios Zisis, Apostolos Ampatzoglou, Nikolaos Mittas, and Alexander Chatzigeorgiou
(University of Macedonia, Greece; Accenture, Greece; International Hellenic University, Greece)
@InProceedings{MaLTeSQuE22p25,
author = {Nikolaos Nikolaidis and Dimitrios Zisis and Apostolos Ampatzoglou and Nikolaos Mittas and Alexander Chatzigeorgiou},
title = {Using Machine Learning to Guide the Application of Software Refactorings: A Preliminary Exploration},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {25-24},
doi = {10.1145/3549034.3561178},
year = {2022},
}
 Publisher's Version
Article: fsews22maltesquemain-id607-p doi:10.1145/3549034.3561178
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Brun, Yuriy
|
MaLTeSQuE '22: "The Promise and Perils of ..."
The Promise and Perils of Using Machine Learning When Engineering Software (Keynote Paper)
Yuriy Brun
(University of Massachusetts at Amherst, USA)
@InProceedings{MaLTeSQuE22p1,
author = {Yuriy Brun},
title = {The Promise and Perils of Using Machine Learning When Engineering Software (Keynote Paper)},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {1-0},
doi = {10.1145/3549034.3570200},
year = {2022},
}
Publisher's Version
Article: fsews22maltesquemain-key1-p doi:10.1145/3549034.3570200
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Chao, Liu
|
MaLTeSQuE '22: "DeepCrash: Deep Metric Learning ..."
DeepCrash: Deep Metric Learning for Crash Bucketing Based on Stack Trace
Liu Chao, Xie Qiaoluan, Li Yong, Xu Yang, and Choi Hyun-Deok
(SAP Labs, China; SAP Labs, South Korea)
@InProceedings{MaLTeSQuE22p31,
author = {Liu Chao and Xie Qiaoluan and Li Yong and Xu Yang and Choi Hyun-Deok},
title = {DeepCrash: Deep Metric Learning for Crash Bucketing Based on Stack Trace},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {31-30},
doi = {10.1145/3549034.3561179},
year = {2022},
}
Publisher's Version
Article: fsews22maltesquemain-id8780-p doi:10.1145/3549034.3561179
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Chatzigeorgiou, Alexander |
MaLTeSQuE '22: "Using Machine Learning to ..."
Using Machine Learning to Guide the Application of Software Refactorings: A Preliminary Exploration
Nikolaos Nikolaidis, Dimitrios Zisis, Apostolos Ampatzoglou, Nikolaos Mittas, and Alexander Chatzigeorgiou
(University of Macedonia, Greece; Accenture, Greece; International Hellenic University, Greece)
@InProceedings{MaLTeSQuE22p25,
author = {Nikolaos Nikolaidis and Dimitrios Zisis and Apostolos Ampatzoglou and Nikolaos Mittas and Alexander Chatzigeorgiou},
title = {Using Machine Learning to Guide the Application of Software Refactorings: A Preliminary Exploration},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {25-24},
doi = {10.1145/3549034.3561178},
year = {2022},
}
Publisher's Version
Article: fsews22maltesquemain-id607-p doi:10.1145/3549034.3561178
|
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Chong, Chun Yong |
MaLTeSQuE '22: "On the Application of Machine ..."
On the Application of Machine Learning Models to Assess and Predict Software Reusability
Matthew Yit Hang Yeow, Chun Yong Chong, and Mei Kuan Lim
(Monash University, Malaysia)
@InProceedings{MaLTeSQuE22p19,
author = {Matthew Yit Hang Yeow and Chun Yong Chong and Mei Kuan Lim},
title = {On the Application of Machine Learning Models to Assess and Predict Software Reusability},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {19-18},
doi = {10.1145/3549034.3561177},
year = {2022},
}
Publisher's Version
 Published Artifact
Artifacts Available
Article: fsews22maltesquemain-id8671-p doi:10.1145/3549034.3561177
|
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Hasabnis, Niranjan
|
MaLTeSQuE '22: "Are Machine Programming Systems ..."
Are Machine Programming Systems using Right Source-Code Measures to Select Code Repositories?
Niranjan Hasabnis
(Intel Corporation, USA)
@InProceedings{MaLTeSQuE22p13,
author = {Niranjan Hasabnis},
title = {Are Machine Programming Systems using Right Source-Code Measures to Select Code Repositories?},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {13-12},
doi = {10.1145/3549034.3561176},
year = {2022},
}
Publisher's Version
Article: fsews22maltesquemain-id9265-p doi:10.1145/3549034.3561176
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Hyun-Deok, Choi |
MaLTeSQuE '22: "DeepCrash: Deep Metric Learning ..."
DeepCrash: Deep Metric Learning for Crash Bucketing Based on Stack Trace
Liu Chao, Xie Qiaoluan, Li Yong, Xu Yang, and Choi Hyun-Deok
(SAP Labs, China; SAP Labs, South Korea)
@InProceedings{MaLTeSQuE22p31,
author = {Liu Chao and Xie Qiaoluan and Li Yong and Xu Yang and Choi Hyun-Deok},
title = {DeepCrash: Deep Metric Learning for Crash Bucketing Based on Stack Trace},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {31-30},
doi = {10.1145/3549034.3561179},
year = {2022},
}
Publisher's Version
Article: fsews22maltesquemain-id8780-p doi:10.1145/3549034.3561179
|
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Lim, Mei Kuan
|
MaLTeSQuE '22: "On the Application of Machine ..."
On the Application of Machine Learning Models to Assess and Predict Software Reusability
Matthew Yit Hang Yeow, Chun Yong Chong, and Mei Kuan Lim
(Monash University, Malaysia)
@InProceedings{MaLTeSQuE22p19,
author = {Matthew Yit Hang Yeow and Chun Yong Chong and Mei Kuan Lim},
title = {On the Application of Machine Learning Models to Assess and Predict Software Reusability},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {19-18},
doi = {10.1145/3549034.3561177},
year = {2022},
}
Publisher's Version
Published Artifact
Artifacts Available
Article: fsews22maltesquemain-id8671-p doi:10.1145/3549034.3561177
|
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Mittas, Nikolaos
|
MaLTeSQuE '22: "Using Machine Learning to ..."
Using Machine Learning to Guide the Application of Software Refactorings: A Preliminary Exploration
Nikolaos Nikolaidis, Dimitrios Zisis, Apostolos Ampatzoglou, Nikolaos Mittas, and Alexander Chatzigeorgiou
(University of Macedonia, Greece; Accenture, Greece; International Hellenic University, Greece)
@InProceedings{MaLTeSQuE22p25,
author = {Nikolaos Nikolaidis and Dimitrios Zisis and Apostolos Ampatzoglou and Nikolaos Mittas and Alexander Chatzigeorgiou},
title = {Using Machine Learning to Guide the Application of Software Refactorings: A Preliminary Exploration},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {25-24},
doi = {10.1145/3549034.3561178},
year = {2022},
}
Publisher's Version
Article: fsews22maltesquemain-id607-p doi:10.1145/3549034.3561178
|
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Nikolaidis, Nikolaos
|
MaLTeSQuE '22: "Using Machine Learning to ..."
Using Machine Learning to Guide the Application of Software Refactorings: A Preliminary Exploration
Nikolaos Nikolaidis, Dimitrios Zisis, Apostolos Ampatzoglou, Nikolaos Mittas, and Alexander Chatzigeorgiou
(University of Macedonia, Greece; Accenture, Greece; International Hellenic University, Greece)
@InProceedings{MaLTeSQuE22p25,
author = {Nikolaos Nikolaidis and Dimitrios Zisis and Apostolos Ampatzoglou and Nikolaos Mittas and Alexander Chatzigeorgiou},
title = {Using Machine Learning to Guide the Application of Software Refactorings: A Preliminary Exploration},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {25-24},
doi = {10.1145/3549034.3561178},
year = {2022},
}
Publisher's Version
Article: fsews22maltesquemain-id607-p doi:10.1145/3549034.3561178
|
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Qiaoluan, Xie
|
MaLTeSQuE '22: "DeepCrash: Deep Metric Learning ..."
DeepCrash: Deep Metric Learning for Crash Bucketing Based on Stack Trace
Liu Chao, Xie Qiaoluan, Li Yong, Xu Yang, and Choi Hyun-Deok
(SAP Labs, China; SAP Labs, South Korea)
@InProceedings{MaLTeSQuE22p31,
author = {Liu Chao and Xie Qiaoluan and Li Yong and Xu Yang and Choi Hyun-Deok},
title = {DeepCrash: Deep Metric Learning for Crash Bucketing Based on Stack Trace},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {31-30},
doi = {10.1145/3549034.3561179},
year = {2022},
}
Publisher's Version
Article: fsews22maltesquemain-id8780-p doi:10.1145/3549034.3561179
|
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Sengamedu, Srinivasan
|
MaLTeSQuE '22: "Neural Language Models for ..."
Neural Language Models for Code Quality Identification
Srinivasan Sengamedu and Hangqi Zhao
(Amazon, USA; Twitter, USA)
@InProceedings{MaLTeSQuE22p7,
author = {Srinivasan Sengamedu and Hangqi Zhao},
title = {Neural Language Models for Code Quality Identification},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {7-6},
doi = {10.1145/3549034.3561175},
year = {2022},
}
Publisher's Version
Article: fsews22maltesquemain-id6848-p doi:10.1145/3549034.3561175
|
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Yang, Xu
|
MaLTeSQuE '22: "DeepCrash: Deep Metric Learning ..."
DeepCrash: Deep Metric Learning for Crash Bucketing Based on Stack Trace
Liu Chao, Xie Qiaoluan, Li Yong, Xu Yang, and Choi Hyun-Deok
(SAP Labs, China; SAP Labs, South Korea)
@InProceedings{MaLTeSQuE22p31,
author = {Liu Chao and Xie Qiaoluan and Li Yong and Xu Yang and Choi Hyun-Deok},
title = {DeepCrash: Deep Metric Learning for Crash Bucketing Based on Stack Trace},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {31-30},
doi = {10.1145/3549034.3561179},
year = {2022},
}
Publisher's Version
Article: fsews22maltesquemain-id8780-p doi:10.1145/3549034.3561179
|
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Yeow, Matthew Yit Hang |
MaLTeSQuE '22: "On the Application of Machine ..."
On the Application of Machine Learning Models to Assess and Predict Software Reusability
Matthew Yit Hang Yeow, Chun Yong Chong, and Mei Kuan Lim
(Monash University, Malaysia)
@InProceedings{MaLTeSQuE22p19,
author = {Matthew Yit Hang Yeow and Chun Yong Chong and Mei Kuan Lim},
title = {On the Application of Machine Learning Models to Assess and Predict Software Reusability},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {19-18},
doi = {10.1145/3549034.3561177},
year = {2022},
}
Publisher's Version
Published Artifact
Artifacts Available
Article: fsews22maltesquemain-id8671-p doi:10.1145/3549034.3561177
|
| |
Yong, Li |
MaLTeSQuE '22: "DeepCrash: Deep Metric Learning ..."
DeepCrash: Deep Metric Learning for Crash Bucketing Based on Stack Trace
Liu Chao, Xie Qiaoluan, Li Yong, Xu Yang, and Choi Hyun-Deok
(SAP Labs, China; SAP Labs, South Korea)
@InProceedings{MaLTeSQuE22p31,
author = {Liu Chao and Xie Qiaoluan and Li Yong and Xu Yang and Choi Hyun-Deok},
title = {DeepCrash: Deep Metric Learning for Crash Bucketing Based on Stack Trace},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {31-30},
doi = {10.1145/3549034.3561179},
year = {2022},
}
Publisher's Version
Article: fsews22maltesquemain-id8780-p doi:10.1145/3549034.3561179
|
| |
Zhao, Hangqi
|
MaLTeSQuE '22: "Neural Language Models for ..."
Neural Language Models for Code Quality Identification
Srinivasan Sengamedu and Hangqi Zhao
(Amazon, USA; Twitter, USA)
@InProceedings{MaLTeSQuE22p7,
author = {Srinivasan Sengamedu and Hangqi Zhao},
title = {Neural Language Models for Code Quality Identification},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {7-6},
doi = {10.1145/3549034.3561175},
year = {2022},
}
Publisher's Version
Article: fsews22maltesquemain-id6848-p doi:10.1145/3549034.3561175
|
| |
Zisis, Dimitrios |
MaLTeSQuE '22: "Using Machine Learning to ..."
Using Machine Learning to Guide the Application of Software Refactorings: A Preliminary Exploration
Nikolaos Nikolaidis, Dimitrios Zisis, Apostolos Ampatzoglou, Nikolaos Mittas, and Alexander Chatzigeorgiou
(University of Macedonia, Greece; Accenture, Greece; International Hellenic University, Greece)
@InProceedings{MaLTeSQuE22p25,
author = {Nikolaos Nikolaidis and Dimitrios Zisis and Apostolos Ampatzoglou and Nikolaos Mittas and Alexander Chatzigeorgiou},
title = {Using Machine Learning to Guide the Application of Software Refactorings: A Preliminary Exploration},
booktitle = {Proc.\ MaLTeSQuE},
publisher = {ACM},
pages = {25-24},
doi = {10.1145/3549034.3561178},
year = {2022},
}
Publisher's Version
Article: fsews22maltesquemain-id607-p doi:10.1145/3549034.3561178
|