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Results of the Abbadingo one DFA learning competition and a new evidence-driven state merging algorithm

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Outgoing claims: the papers this work cites, builds on, or argues with.

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What is the search space of the regular inference?
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Identification of DFA: Data-dependent versus data-independent algorithms
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On the complexity of minimum inference of regular sets
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Inference of Sequential Machines from Sample Computations
inferredcites →https://doi.org/10.1142/9789812797902_0004openalex-snapshot
INFERRING REGULAR LANGUAGES IN POLYNOMIAL UPDATED TIME
inferredcites →https://doi.org/10.1145/130385.130390openalex-snapshot
Random DFA's can be approximately learned from sparse uniform examples
inferredcites →https://doi.org/10.1145/167088.167191openalex-snapshot
Efficient learning of typical finite automata from random walks
inferredcites →https://doi.org/10.1145/174644.174647openalex-snapshot
Cryptographic Limitations on Learning Boolean Formulae and Finite Automata
inferredcites →https://doi.org/10.1145/73007.73049openalex-snapshot
Crytographic limitations on learning Boolean formulae and finite automata

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Mining Protocol State Machines by Interactive Grammar Inference
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Extended Finite-State Machine Induction Using SAT-Solver
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An Empirical Study on Practicality of Specification Mining Algorithms on a Real-World Application
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Learning Task Specifications from Demonstrations as Probabilistic Automata
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An improved genetic algorithm for the inference of finite state machine
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Inferring Computational State Machine Models from Program Executions
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An Experience Report on Applying Passive Learning in a Large-Scale Payment Company
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SPYH-Method: An Improvement in Testing of Finite-State Machines
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Mining decision rules from deterministic finite automata
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Online passive learning of timed automata for cyber-physical production systems
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The Power and Perils of MDL
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AutoFlows: Inferring Message Flows from System Communication Traces
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Requirements Specification-by-Example Using a Multi-objective Evolutionary Algorithm
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Improving Model Inference in Industry by Combining Active and Passive Learning
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Transformation operators for easier engineering of medical process models
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Prospex: Protocol Specification Extraction
inferred← citeshttps://doi.org/10.1109/tcad.2024.3362598openalex-snapshot
AutoModel: Automatic Synthesis of Models From Communication Traces of SoC Designs
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Alert-driven Attack Graph Generation using S-PDFA
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Learning Finite-State Transducers: Evolution Versus Heuristic State Merging
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Approximation of the Two-Part MDL Code
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Inference of Regular Expressions for Text Extraction from Examples
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Learning deterministic finite automata with a smart state labeling evolutionary algorithm
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Generating annotated behavior models from end-user scenarios
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Modelling Second-Order Uncertainty in State Machines
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Reverse Engineering State Machines by Interactive Grammar Inference
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Computing the Structural Difference between State-Based Models
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Inferring Extended Finite State Machine models from software executions
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Improving Test Suites Via a Novel Testing with Model Learning Approach
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Boosting grammatical inference with confidence oracles
inferred← citeshttps://doi.org/10.1145/1181775.1181800openalex-snapshot
Scenarios, goals, and state machines
inferred← citeshttps://doi.org/10.1145/1274000.1274039openalex-snapshot
A more bio-plausible approach to the evolutionary inference of finite state machines
inferred← citeshttps://doi.org/10.1145/1555301.1555308openalex-snapshot
Grid management support by means of collaborative learning agents
inferred← citeshttps://doi.org/10.1145/1709093.1709096openalex-snapshot
Satin
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A framework for the competitive evaluation of model inference techniques
inferred← citeshttps://doi.org/10.1145/1868321.1868324openalex-snapshot
Detection of high-level execution patterns in reactive behavior of control programs
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Automated Comparison of State-Based Software Models in Terms of Their Language and Structure
inferred← citeshttps://doi.org/10.1145/2463372.2463440openalex-snapshot
MuACOsm
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Guided GUI testing of android apps with minimal restart and approximate learning
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Guided GUI testing of android apps with minimal restart and approximate learning
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