A comparison of automated training-by-example selection algorithms for Evidence Based Software Engineering

To improve recall, the findings recommend VSM and a large training set including as many truly relevant studies as possible. If precision and efficiency are most critical, the findings suggest LSA and a training set including a large proportion of truly irrelevant studies.