Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation - MaLTeSQuE 2019
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Published By ACM Press

9781450368551

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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

Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation - MaLTeSQuE 2019 ◽

10.1145/3340482.3342742 ◽

2019 ◽

Cited By ~ 4

Author(s):

Markus Borg ◽

Oscar Svensson ◽

Kristian Berg ◽

Daniel Hansson

Keyword(s):

Just In Time

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Towards surgically-precise technical debt estimation: early results and research roadmap

Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation - MaLTeSQuE 2019 ◽

10.1145/3340482.3342747 ◽

2019 ◽

Cited By ~ 4

Author(s):

Valentina Lenarduzzi ◽

Antonio Martini ◽

Davide Taibi ◽

Damian Andrew Tamburri

Keyword(s):

Technical Debt ◽

Early Results

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Leveraging mutants for automatic prediction of metamorphic relations using machine learning

Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation - MaLTeSQuE 2019 ◽

10.1145/3340482.3342741 ◽

2019 ◽

Cited By ~ 1

Author(s):

Aravind Nair ◽

Karl Meinke ◽

Sigrid Eldh

Keyword(s):

Machine Learning

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A machine learning based automatic folding of dynamically typed languages

Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation - MaLTeSQuE 2019 ◽

10.1145/3340482.3342746 ◽

2019 ◽

Author(s):

Nickolay Viuginov ◽

Andrey Filchenkov

Keyword(s):

Machine Learning ◽

Typed Languages

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On the role of data balancing for machine learning-based code smell detection

Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation - MaLTeSQuE 2019 ◽

10.1145/3340482.3342744 ◽

2019 ◽

Cited By ~ 2

Author(s):

Fabiano Pecorelli ◽

Dario Di Nucci ◽

Coen De Roover ◽

Andrea De Lucia

Keyword(s):

Machine Learning ◽

Code Smell

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Risk-based data validation in machine learning-based software systems

Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation - MaLTeSQuE 2019 ◽

10.1145/3340482.3342743 ◽

2019 ◽

Cited By ~ 3

Author(s):

Harald Foidl ◽

Michael Felderer

Keyword(s):

Machine Learning ◽

Software Systems ◽

Data Validation

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Classifying non-functional requirements using RNN variants for quality software development

Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation - MaLTeSQuE 2019 ◽

10.1145/3340482.3342745 ◽

2019 ◽

Cited By ~ 1

Author(s):

Md. Abdur Rahman ◽

Md. Ariful Haque ◽

Md. Nurul Ahad Tawhid ◽

Md. Saeed Siddik

Keyword(s):

Software Development ◽

Functional Requirements

Download Full-text

Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation - MaLTeSQuE 2019Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM Press

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

Towards surgically-precise technical debt estimation: early results and research roadmap

Leveraging mutants for automatic prediction of metamorphic relations using machine learning

A machine learning based automatic folding of dynamically typed languages

On the role of data balancing for machine learning-based code smell detection

Risk-based data validation in machine learning-based software systems

Classifying non-functional requirements using RNN variants for quality software development

Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation - MaLTeSQuE 2019
Latest Publications