Abstract—We provide an algebraic formalization of connectors in the BIP component framework. A connector relates a set of typed ports. Types are used to describe different modes of synchronization, in particular, rendezvous and broadcast. Connectors on a set of ports P are modeled as terms of the algebra ACðPÞ, generated from P by using a binary fusion operator and a unary typing operator. Typing associates with terms (ports or connectors) synchronization types—trigger or synchron—that determine modes of synchronization. Broadcast interactions are initiated by triggers. Rendezvous is a maximal interaction of a connector that includes only synchrons. The semantics of ACðPÞ associates with a connector the set of its interactions. It induces on connectors an equivalence relation which is not a congruence as it is not stable for fusion. We provide a number of properties of ACðPÞ used to symbolically simplify and handle connectors. We provide examples illustrating applications of ACðPÞ, including a general component model encompassing methods for incremental model decomposition and efficient implementation by using symbolic techniques. Index Terms—Real-time and embedded systems, system architectures, integration, and modeling, systems specification methodology, interconnections, architecture. Ç

Autonomous robots are complex systems that require the interaction/cooperation of numerous heterogeneous software components. Nowadays, robots are critical systems and must meet safety properties including in particular temporal and real-time constraints. We present a methodology for modeling and analyzing a robotic system using the BIP component framework integrated with an existing framework and architecture, the LAAS 1 based on G en oM. The BIP componentization approach has been successfully used in other domains. In this study, we show how it can be seamlessly integrated in the preexisting methodology. We present the componentization of the functional level of a robot, the synthesis of an execution controller as well as validation techniques for checking essential “safety” properties.

Abstract. We build on a framework for modelling and investigating componentbased systems that strictly separates the description of behavior of components from the way they interact. We discuss various properties of system behavior as liveness, local progress, local and global deadlock, and robustness. We present a criterion that ensures liveness and can be tested in polynomial time. 1

We propose results ensuring properties of a component-based system from properties of its interaction model and of its components. We consider here deadlock-freedom and local progress of subsystems. This is done in the framework of interaction systems, a model for component based modelling described in [9]. An interaction system is the superposition of two models: a behavior model and an interaction model. The behavior model describes the behavior of individual components. The interaction model describes the way the components may interact by introducing connectors that relate actions from different components. We illustrate our concepts and results with examples.

Abstract. Interaction systems are a formal model for component-based systems. Combining components via connectors to form more complex systems may give rise to deadlock situations. Deciding the existence of deadlocks is NP-hard as it involves global state analysis. We present here a parametrized polynomial-time algorithm that is able to confirm deadlock-freedom for a certain class of interaction systems. The discussion includes characteristic examples and displays the role of the parameter of the algorithm. 1

Genetic regulatory networks have been modeled as discrete transition systems by many approaches, benefiting from a large number of formal verification algorithms available for the analysis of discrete transition systems. However, most of these approaches do not scale up well. In this article, we explore the use of compositionality for the analysis of genetic regulatory networks. We present a framework for modeling genetic regulatory networks in a modular yet faithful manner based on the mathematically well-founded formalism of differential inclusions. We then propose a compositional algorithm to efficiently analyze reachability properties of the model. A case study shows the potential of this approach.

Abstract. We treat the effect of absence/failure of ports or components on properties of component-based systems. We do so in the framework of interaction systems, a formalism for component-based systems that strictly separates the issues of local behavior and interaction, for which ideas to establish properties of systems were developed. We propose how to adapt these ideas to analyze how the properties behave under absence or failure of certain components or merely some ports of components. We demonstrate our approach for the properties local and global deadlockfreedom as well as liveness and local progress. 1

This paper presents an extension of the BIP component framework to hierarchical components by considering also port sets of atomic components to be structured (ports may be in conflict or ordered, where a larger port represents an interaction set with larger interactions). A composed component consisting of a set of components connected through BIP connectors and a set of ports representing a subset of the internal connectors and ports, has two semantics: one in terms if interactions as defined by the BIP semantics, and one in terms of the actions represented by external ports where the structure of the port set of the component is derived from the internal structure of the component. A second extension consists in the addition of implicit interactions which is done through an explicit distinction of conflicting and concurrent ports: interactions involving only non conflicting ports can be executed concurrently without the existence of an explicit connector. Finally, we define contract-based reasoning for component hierarchies.

Abstract. Interaction systems are a formal model for component-based systems, where components are combined via connectors to form more complex systems. We compare interaction systems (IS) to the wellstudied model of 1-safe Petri nets (1SN) by giving a translation map1: 1SN → IS and a translation map2: IS → 1SN, sothata1-safePetrinet (an interaction system) and its according interaction system (1-safe Petri net) defined by the respective mapping are isomorphic up to some label relation R. So in some sense both models share the same expressiveness. Also, the encoding map 1 is polynomial and can be used to reduce the problems of reachability, deadlock and liveness in 1SN to the problems of reachability, deadlock and liveness in IS, yielding PSPACE-hardness for these questions. 1

D’une approche modulaire à une approche orientée composant pour le développement de systèmes