Thomas Rolfsnes
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View article: Data set for the paper "What are the Effects of History Length and Age on Mining Software Change Impact?"
Data set for the paper "What are the Effects of History Length and Age on Mining Software Change Impact?" Open
Data set for the paper What are the Effects of History Length and Age on Mining Software Change Impact? by Leon Moonen, Thomas Rolfsnes, David Binkley and Stefano di Alesio. In Journal of Empirical Software Engineering (EMSE), 2018, Spring…
View article: Data set for the paper "What are the Effects of History Length and Age on Mining Software Change Impact?"
Data set for the paper "What are the Effects of History Length and Age on Mining Software Change Impact?" Open
Data set for the paper What are the Effects of History Length and Age on Mining Software Change Impact? by Leon Moonen, Thomas Rolfsnes, David Binkley and Stefano di Alesio. In Journal of Empirical Software Engineering (EMSE), 2018, Spring…
View article: Data set for the paper "Predicting Relevance of Change Recommendations"
Data set for the paper "Predicting Relevance of Change Recommendations" Open
Data set for the paper Predicting Relevance of Change Recommendations by Thomas Rolfsnes, Leon Moonen, and David Binkley, In International Conference on Automated Software Engineering (ASE), pp. 694–705. 2017, IEEE. Please cite this work b…
View article: Data Set For The Paper Predicting Relevance Of Change Recommendations
Data Set For The Paper Predicting Relevance Of Change Recommendations Open
Data set for the paper Predicting Relevance of Change Recommendations by Thomas Rolfsnes, Leon Moonen, and David Binkley, In International Conference on Automated Software Engineering (ASE), pp. 694–705. 2017, IEEE. Please cite this work b…
View article: Data set for the paper "Predicting Relevance of Change Recommendations"
Data set for the paper "Predicting Relevance of Change Recommendations" Open
Data set for the paper Predicting Relevance of Change Recommendations by Thomas Rolfsnes, Leon Moonen, and David Binkley, In International Conference on Automated Software Engineering (ASE), pp. 694–705. 2017, IEEE. Please cite this work b…
View article: Practical guidelines for change recommendation using association rule mining
Practical guidelines for change recommendation using association rule mining Open
Association rule mining is an unsupervised learning technique that infers relationships among items in a data set. This technique has been successfully used to analyze a system's change history and uncover evolutionary coupling between sys…