We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
Online testing is a technique in which test derivation from a model program and test execution are combined into a single algorithm. We describe a practical online testing algorit...
Margus Veanes, Colin Campbell, Wolfram Schulte, Ni...
The increase in the complexity of modern software has led to the commensurate growth in the size and execution time of the test suites for these programs. In order to address this...
Progress in testing requires that we evaluate the effectiveness of testing strategies on the basis of hard experimental evidence, not just intuition or a priori arguments. Random ...
Ilinca Ciupa, Andreas Leitner, Manuel Oriol, Bertr...
Distributed test setups for efficient load, performance, scalability, interworking, and end-to-end tests are gaining importance for the assessment of distributed communicating syst...