Software product lines (PLs) are large, complex systems, demanding high maintainability and enhanced flexibility. Nonetheless, in the state of the art PL methods, features are sca...
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Abstract. Large information spaces and complex functionality of contemporary systems together with the advent of the Semantic Web are big challenges for the design of simple yet po...
Control systems are usually modeled by differential equations describing how physical phenomena can be influenced by certain control parameters or inputs. Although these models ar...
Model checking can be an effective technique for detecting concurrency-related errors in software systems. However, due to scalability issues, to handle industrial-strength softw...