Scalable reaction network modeling with automatic validation of consistency in Event-B

Constructing a large biological model is a difficult, error-prone process. Small errors in writing a part of the model cascade to the system level and their sources are difficult to trace back. In this paper we extend a recent approach based on Event-B, a state-based formal method with refinement as its central ingredient, allowing us to validate for model consistency step-by-step in an automated way. We demonstrate this approach on a model of the heat shock response in eukaryotes and its scalability on a model of the ErbB signaling pathway. All consistency properties of the model were proved automatically with computer support.</p

Node Coordination in Peer-to-Peer Networks

International audiencePeer-to-peer networks and other many-to-many relations have become popular especially for content transfer. To better understand and trust these types of networks, we need formally derived and verified models for them. Due to the large scale and heterogeneity of these networks, it may be difficult and cumbersome to create and analyse complete models. In this paper, we employ the modularisation approach of the Event-B formalism to model the separation of the functionality of each peer in a peer-to-peer network from the network structure itself, thereby working towards a distributed, formally derived and verified model of a peer-to-peer network. As coordination aspects are fundamental in the network structure, we focus our formalisation effort in this paper especially on these. The resulted approach demonstrates considerable expressivity in modelling coordination aspects in peer-to-peer networks