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model checkingMusic genre
Among other domains, learning finite-state machines is important for obtaining a model of a system under development, so that powerful formal methods such as model checking can be applied
http://deepblue.lib.umich.edu/bitstream/2027.42/7086/5/bad1268.0001.001.pdfhttp://deepblue.lib.umich...
In the past decade, active automata learning, an originally merely theoretical enterprise, got atten...
Model learning is a black-box technique for constructing state machine models of software and hardwa...
AbstractAmong other domains, learning finite-state machines is important for obtaining a model of a ...
Automata learning is an established class of techniques for inferring automata models by observing h...
Part 1: Invited Keynote TalksInternational audienceOnce they have high-level models of the behavior ...
Unsupervised learning of finite automata has been proven to be NP-hard. However, there are many real...
Regular model checking is a method for verifying infinite-state systems based on coding their config...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN033002 / BLDSC - British Library D...
Model checking addresses correctness of finite-state systems by formal methods. It automatically eit...
Although many of the software engineering activities can now be model-supported, the model is often ...
Finite state machines are widely used in the modeling of systems for various purposes. Descriptions ...
The correspondence of active learning and testing of finite-state machines (FSMs) has been known for...
We present a new active model-learning approach to generating abstractions of a system implementatio...
We present an interactive version of an evidence-driven state-merging (EDSM) algorithm for learning ...
http://deepblue.lib.umich.edu/bitstream/2027.42/7086/5/bad1268.0001.001.pdfhttp://deepblue.lib.umich...
In the past decade, active automata learning, an originally merely theoretical enterprise, got atten...
Model learning is a black-box technique for constructing state machine models of software and hardwa...
AbstractAmong other domains, learning finite-state machines is important for obtaining a model of a ...
Automata learning is an established class of techniques for inferring automata models by observing h...
Part 1: Invited Keynote TalksInternational audienceOnce they have high-level models of the behavior ...
Unsupervised learning of finite automata has been proven to be NP-hard. However, there are many real...
Regular model checking is a method for verifying infinite-state systems based on coding their config...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN033002 / BLDSC - British Library D...
Model checking addresses correctness of finite-state systems by formal methods. It automatically eit...
Although many of the software engineering activities can now be model-supported, the model is often ...
Finite state machines are widely used in the modeling of systems for various purposes. Descriptions ...
The correspondence of active learning and testing of finite-state machines (FSMs) has been known for...
We present a new active model-learning approach to generating abstractions of a system implementatio...
We present an interactive version of an evidence-driven state-merging (EDSM) algorithm for learning ...
http://deepblue.lib.umich.edu/bitstream/2027.42/7086/5/bad1268.0001.001.pdfhttp://deepblue.lib.umich...
In the past decade, active automata learning, an originally merely theoretical enterprise, got atten...
Model learning is a black-box technique for constructing state machine models of software and hardwa...
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