Replication Package for the paper ``Predicting Relevance of Change Recommendations''

T. Rolfsnes, L. Moonen, and D. Binkley. Predicting Relevance of Change Recommendations. In IEEE/ACM International Conference on Automated Software Engineering (ASE). ACM, 2017.

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Data set

The data set containing extracted change histories, sampled transactions, generated queries and results obtained in our experiments is available from Zenodo. DOI

Note that the data for the software systems from our industrial collaborators is not included in this data set because of non-disclosure agreements.

Mining Algorithm

Our generalized targeted association rule mining algorithm was published on bitbucket. It is described in more detail in this paper.