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.