It is time for us to focus on sound analyses for our critical systems software--that is, we must focus on analyses that ensure the absence of defects of particular known types, ra...
Zachary R. Anderson, Eric A. Brewer, Jeremy Condit...
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Sentence selection shares some but not all the characteristics of Automatic Text Categorization. Therefore some but not all the same techniques should be used. In this paper we stu...
Different evaluation measures assess different characteristics of machine learning algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going debat...
Marina Sokolova, Nathalie Japkowicz, Stan Szpakowi...
Previous symbolic software model checkers (i.e., program analysis tools based on predicate abstraction, pushdown model checkiterative counterexample-guided abstraction refinement, ...