R-UML: An UML Profile for Verification of Flexible Control Systems

Salem, Mohamed Oussama Ben; Mosbahi, Olfa; Khalgui, Mohamed; Frey, Georg

doi:10.1007/978-3-319-30142-6_7

Cited by 3 publications

(3 citation statements)

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“…These models can be validated with the object constraint language OCL [29] or with formal methods [28] (Figure 3). We define (i) A general profile R-UML extending UML for specifying hardware and software reconfiguration scenarios [115] extended to [116], (ii) A general framework to adapt reconfigurable distributed intelligent systems under functional and real-time constraints [52], (iii) A new specific event-triggered component named R-FB that extends Function Blocks in the industrial standard IEC61499 [24], (iv) A new component named RA2DL extending the architecture analysis and design language (AADL) [22], (v) A specific meta-model for reconfigurable wireless sensor networks for handling all possible reconfigurable forms [21], (vi) A specific model for reconfigurable smart grids that react and cover possible faults in distribution lines [12], and (vi) a specific model for reconfigurable microgrids to predict weather conditions for estimating the future energy availability [8].…”

Section: Overview On Design and Validation Of Rdesmentioning

confidence: 99%

“…The work reported in [115] extended to [20] defines a new general UML profile named R-UML for designing RDESs implemented with tasks that share software and hardware resources. R-UML is based on reconfigurable class diagrams (R-ClD) and reconfigurable state-transition diagrams (R-STD) that specify the system flexibility.…”

Section: A General Models For Reconfigurable Discrete-event Systemsmentioning

confidence: 99%

“…This methodology combines the different obtained research results for realizing correct systems in software and hardware parts. From the specification described in user requirements, the system is designed according to a proposed general profile named R-UML reported in [20] or to specific technologies oriented profiles reported in [21]- [24], before transforming the related models to deterministic or stochastic reconfigurable Petri nets denoted by R-TNCES as reported in [25], or to reconfigurable timed automata as reported in [26] or also to B method as reported in [27]. These models are simulated or formally checked by using model checking as reported in [10], [25], and [28].…”

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confidence: 99%

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On Reconfiguration Theory of Discrete-Event Systems: From Initial Specification Until Final Deployment

Khalgui

Mosbahi

2019

IEEE Access

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This paper presents an overview on different research activities that we did in the recent decade for developing reconfigurable discrete-event systems (RDESs) from initial high-level specification according to user requirements until final low-level deployment in target hardware components. A reconfiguration is any run-time scenario that adapts the system's behavior to any evolution in the related environment by adding or removing services or also configuring their parameters, i.e., their frequency, execution time, or also their location in the considered hardware architecture. Since the development of distributed RDESs under functional and extra-functional constraints is required by experts, we propose a complete methodology that deals first with their initial design with a new general profile named R-UML extending unified modeling language (UML) or also with new specific technology-oriented profiles, the validation of the related models with a new language R-OCL extending object constraint language (OCL), before their transformation to formal formalisms, such as Petri nets, timed automata, or B method for simulation or also formal verification of different properties. The checked models are transformed into OS reconfigurable tasks in the operational level, before applying a co-design methodology under functional, real-time, memory, and energy constraints for minimizing redundancies in tasks and for optimizing the composition of software and hardware parts together. We describe technology-oriented solutions for the scheduling of distributed RDESs by parameterizing tasks and their exchanged messages between multi-speed networked processors. We finish with the real low-level deployment on target hardware devices before applying useful software and hardware tests for checking the delivered system quality. These contributions, published in different journal and conference papers, are applied to different applications in medicine, wireless sensor networks, transportation systems, manufacturing industry, smart grids and microgrids, embedded technologies, and so on. We find significant gains in terms of the system reactivity and flexibility under related constraints. INDEX TERMS Discrete-event system, modeling and verification, design and validation, implementation and scheduling, real-time and energy aware scheduling, test and simulation, co-design and deployment, application. I. INTRODUCTION Automatic flexibility becomes a required criterion for dynamic system adaptability to any possible evolution in related environment. A reconfigurable system is considered in this paper as a discrete-event system (RDES) that adapts its behavior to recover faults or also improve required performance at run-time. It is a set of wired/wireless networked devices that run independent/dependent control software tasks exchanging messages on the network [1], [2]. These tasks and consequently the related messages should be executed under functional, memory, real-time, and energy constraints described in user requirements [3]-[5]. A reconfi...

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