Workshop MaLTeSQuE 2019 – Author Index

B D E F H L M N P R S T V

	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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

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