Title
Model learning and test generation for event-b decomposition
Abstract
Event-B is a formal method for reliable systems specification and verification, which uses model refinement and decomposition as techniques to scale the design of complex systems. In previous work, we proposed an iterative approach for test generation and state model inference based on a variant of Angluin's learning algorithm, which integrates well with the notion of Event-B refinement. In this paper, we extend the method to work also with the mechanisms of Event-B decomposition. Two types of decomposition, i.e. shared-events and shared-variables, are considered and the generation of a global test suite from the local ones is proposed at the end. The implementation of the method is evaluated on publicly available Event-B decomposed models.
Year
DOI
Venue
2012
10.1007/978-3-642-34026-0_40
ISoLA (1)
Keywords
Field
DocType
formal method,event-b refinement,event-b decomposition,reliable systems specification,global test suite,state model inference,test generation,available event-b decomposed model,previous work,model refinement
Complex system,Test suite,Inference,Computer science,Algorithm,Theoretical computer science,Regular language,Formal methods,Global variable,Decomposition,Model learning
Conference
Citations 
PageRank 
References 
3
0.42
25
Authors
3
Name
Order
Citations
PageRank
Ionut Dinca1101.88
Florentin Ipate241943.20
Alin Stefanescu320917.79