taskdict

For the empirical analysis, the authors created two datasets: dataset1 includes all change tasks
that have at least one change set associated with them; dataset 2 is a subset of dataset 1 and
includes all change tasks that have at least one change set and one task context associated. For
the AspectJ project the authors only created dataset 1, since only two tasks had a task context
associated. For each project the authors split each dataset into a training set to create the
dictionary and a test set. For reasonable training and test sets and to be able to compare them
across projects, they chose the test set size to be ten. Also, to be able to compare the results
of the dictionaries using dierent in-formation sources (change sets and/or task contexts) as well
as preserving the chronological order, they chose the last ten change tasks in dataset 2 as the
test set for Mylyn.Tasks,Mylyn. Context and Remus and the last ten change tasks in dataset 1 for
AspectJ. All change tasks that were resolved before the ones in the test set were used as the
training set.