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Large-scale system development using abstract data types and refinement

Fürst, Andreas, Hoang, Thai Son, Basin, David, Sato, Naoto and Miyazaki, Kunihiko (2016) Large-scale system development using abstract data types and refinement Science of Computer Programming, pp. 1-17. (doi:10.1016/j.scico.2016.04.010).

Record type: Article


We present a formal modelling approach using Abstract Data Types (ADTs) for large-scale system development in Event-B. The novelty of our approach is the combination of refinement and instantiation techniques to manage the complexity of systems under development. With ADTs, we model system components on an abstract level, specify- ing just their necessary properties, and we postpone the introduction of their concrete definitions to later development steps. As the ADTs are incrementally instantiated and become more concrete, behavioural details of systems are expanded via refinement in a manner consistent with the ADTs’ transformation. We evaluate this approach using a large-scale case study in train control systems. The results show that our approach helps reduce system details during early development stages and leads to simpler and more automated proofs.

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Accepted/In Press date: 29 April 2016
e-pub ahead of print date: 6 May 2016
Organisations: Electronics & Computer Science


Local EPrints ID: 396519
PURE UUID: ab4dd572-cede-422c-961b-cc9608f8ce79
ORCID for Thai Son Hoang: ORCID iD

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Date deposited: 10 Jun 2016 10:36
Last modified: 18 Jul 2017 04:17

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Author: Andreas Fürst
Author: Thai Son Hoang ORCID iD
Author: David Basin
Author: Naoto Sato
Author: Kunihiko Miyazaki

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