Domain-Specific Optimization in Automata Learning [chapter]

Hardi Hungar, Oliver Niese, Bernhard Steffen
2003 Lecture Notes in Computer Science  
Automatically generated models may provide the key towards controlling the evolution of complex systems, form the basis for test generation and may be applied as monitors for running applications. However, the practicality of automata learning is currently largely preempted by its extremely high complexity and unrealistic frame conditions. By optimizing a standard learning method according to domainspecific structural properties, we are able to generate abstract models for complex reactive
more » ... ms. The experiments conducted using an industrylevel test environment on a recent version of a telephone switch illustrate the drastic effect of our optimizations on the learning efficiency. From a conceptual point of view, the developments can be seen as an instance of optimizing general learning procedures by capitalizing on specific application profiles.
doi:10.1007/978-3-540-45069-6_31 fatcat:o53xeniwzbavjeo4lo3r5vecme