Can we measure software testing effectiveness?

The paper examines the issues of measuring and comparing the effectiveness of testing criteria. It argues that measurement, in the usual sense, is generally not possible, but that comparison is. In particular, it argues that uniform relations that guarantee that one criterion is better at fault detection than another, according to certain types of well-understood probabilistic measures of effectiveness, are especially valuable