2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE)
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9781509065974

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2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) ◽

10.1109/maltesque.2017.7882006 ◽

2017 ◽

2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) ◽

10.1109/maltesque.2017.7882007 ◽

2017 ◽

Using machine learning to design a flexible LOC counter

2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) ◽

10.1109/maltesque.2017.7882011 ◽

2017 ◽

Cited By ~ 4

Author(s):

Miroslaw Ochodek ◽

Miroslaw Staron ◽

Dominik Bargowski ◽

Wilhelm Meding ◽

Regina Hebig

Keyword(s):

Machine Learning

Investigating code smell co-occurrences using association rule learning: A replicated study

2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) ◽

10.1109/maltesque.2017.7882010 ◽

2017 ◽

Cited By ~ 2

Author(s):

Fabio Palomba ◽

Rocco Oliveto ◽

Andrea De Lucia

Keyword(s):

Association Rule ◽

Rule Learning ◽

Code Smell

[Front cover]

2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) ◽

10.1109/maltesque.2017.7882005 ◽

2017 ◽

Keyword(s):

Front Cover

Automatic feature selection by regularization to improve bug prediction accuracy

2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) ◽

10.1109/maltesque.2017.7882013 ◽

2017 ◽

Cited By ~ 4

Author(s):

Haidar Osman ◽

Mohammad Ghafari ◽

Oscar Nierstrasz

Keyword(s):

Feature Selection ◽

Prediction Accuracy ◽

Automatic Feature Selection

Machine learning for finding bugs: An initial report

2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) ◽

10.1109/maltesque.2017.7882012 ◽

2017 ◽

Cited By ~ 4

Author(s):

Timothy Chappelly ◽

Cristina Cifuentes ◽

Padmanabhan Krishnan ◽

Shlomo Gevay

Keyword(s):

Machine Learning ◽

Initial Report

Using source code metrics to predict change-prone web services: A case-study on ebay services

2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) ◽

10.1109/maltesque.2017.7882009 ◽

2017 ◽

Cited By ~ 6

Author(s):

Lov Kumar ◽

Santanu Kumar Rath ◽

Ashish Sureka

Keyword(s):

Web Services ◽

Source Code ◽

Code Metrics ◽

Source Code Metrics

Hyperparameter optimization to improve bug prediction accuracy

2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) ◽

10.1109/maltesque.2017.7882014 ◽

2017 ◽

Cited By ~ 4

Author(s):

Haidar Osman ◽

Mohammad Ghafari ◽

Oscar Nierstrasz

Keyword(s):

Prediction Accuracy ◽

Hyperparameter Optimization

Message from the Chairs

2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) ◽

10.1109/maltesque.2017.7882008 ◽

2017 ◽

Keyword(s):

The Chairs

2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE)
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Author index

Table of contents

Using machine learning to design a flexible LOC counter

Investigating code smell co-occurrences using association rule learning: A replicated study

[Front cover]

Automatic feature selection by regularization to improve bug prediction accuracy

Machine learning for finding bugs: An initial report

Using source code metrics to predict change-prone web services: A case-study on ebay services

Hyperparameter optimization to improve bug prediction accuracy

Message from the Chairs

Export Citation Format

2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Author index

Table of contents

Using machine learning to design a flexible LOC counter

Investigating code smell co-occurrences using association rule learning: A replicated study

[Front cover]

Automatic feature selection by regularization to improve bug prediction accuracy

Machine learning for finding bugs: An initial report

Using source code metrics to predict change-prone web services: A case-study on ebay services

Hyperparameter optimization to improve bug prediction accuracy

Message from the Chairs

2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE)
Latest Publications