Asieh Salehi Fathabadi

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Event-B is a formal method for modeling and verifying consistency of systems. In formal methods such as Event-B, refinement is the process of enriching or modifying an abstract model in a step-wise manner in order to manage the development of complex and large systems. To further alleviate the complexity of developing large systems, Event-B refinement can(More)
Event-B is a state-based formal method that supports a refinement process in which an abstract model is elaborated towards an implementation in a step-wise manner. One weakness of Event-B is that control flow between events is typically modelled implicitly via variables and event guards. While this fits well with Event-B refinement, it can make models(More)
Data Integration Systems (DIS) are concerned with integrating data from multiple data sources to resolve user queries. Typically, organisations providing data sources specify security policies that impose stringent requirements on the collection, processing, and disclosure of personal and sensitive data. If the security policies were not correctly enforced(More)
Event-B is a formal method for modelling and verifying the consistency of chains of model refinements. The event refinement structure (ERS) approach augments Event-B with a graphical notation which is capable of explicit representation of control flows and refinement relationships. In previous work, the ERS approach has been evaluated manually in the(More)
A Run-Time Management system for many-core architecture is aware of application requirements and able to save energy by sacrificing performance when it will have negligible impact on user experience. This paper outlines the application of a process for development of a run-time management system that integrates a range of modelling, validation, verification(More)
Constructing traceable Event-B models from requirements is crucial in the system development process. It enables the validation of the model against the requirements and allows to identify different refinement levels, which is a key to successful formal modelling with a refinement-based method. Our objective is to present an approach based on the use of(More)
Run-Time Management (RTM) systems are used to control energy hooks at run-time to minimise the energy consumption of embedded systems with single and many-core processors. Typically, such RTM systems are aware of application requirements and utilise workload prediction and machine learning algorithms to estimate the optimal configuration. An RTM mechanism(More)
MapReduce is a powerful distributed data processing model that is currently adopted in a wide range of domains to efficiently handle large volumes of data, i.e., cope with the big data surge. In this paper, we propose an approach to formal derivation of the MapReduce framework. Our approach relies on stepwise refinement in Event-B and, in particular, the(More)
Integrating graphical representations with formal methods can help bridge the gap between requirements and formal modelling. In this paper, we compare and evaluate two graphical approaches aiming at describing control flows and refinement in Event-B, and we use a fire dispatch system case study to perform this evaluation. The fire dispatch system case study(More)