Paper Info
Title
The Hive Tool For Informed Swarm State Space Exploration
Abstract
Swarm verification and parallel randomised depth-first search are very effective parallel techniques to hunt bugs in large state spaces. In case bugs are absent, however, scalability of the parallelisation is completely lost. In recent work, we proposed a mechanism to inform the workers which parts of the state space to explore. This mechanism is compatible with any action-based formalism, where a state space can be represented by a labelled transition system. With this extension, each worker can be strictly bounded to explore only a small fraction of the state space at a time. In this paper, we present the HIVE tool together with two search algorithms which were added to the LTSMIN tool suite to both perform a preprocessing step, and execute a bounded worker search. The new tool is used to coordinate informed swarm explorations, and the two new LTSMIN algorithms are employed for preprocessing a model and performing the individual searches.
Year
DOI
Venue
2011
10.4204/EPTCS.72.10
ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE
DocType
Issue
ISSN
Journal
72
2075-2180
Citations 
PageRank 
References 
1
0.35
7
Authors
1
Name
Order
Citations
PageRank
Anton Wijs120322.84