Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
We describe an automated method to generating models of an autonomic system. Specifically, we generate UML state diagrams for a set of interacting objects, including the extensio...
Heather Goldsby, Betty H. C. Cheng, Philip K. McKi...
This paper presents data from a study of the current state of practice of software testing. Test managers from twelve different software organizations were interviewed. The interv...
: In this article we advocate an integrated approach for the automation of module or software integration testing and static analysis. It is illustrated how funmethods of static an...