Abstract

The model-driven development of systems involves multiple models, metamodels and transformations, and relationships between them. A bidirectional transformation (bx) is usually defined as a means of maintaining consistency between “two (or more)” models. This includes cases where one model may be generated from one or more others, as well as more complex (“symmetric”) cases where models record partially overlapping information. In recent years, binary bx, those relating two models, have been extensively studied. Multiary bx, those relating more than two models, have received less attention. In this paper, we consider how a multiary consistency relation may be defined in terms of binary consistency relations and how consistency restoration may be carried out on a network of models and relationships between them. In particular, we consider the circumstances under which we can prove non-interference between several bidirectional transformations that impact on the same model and how the use of a more refined notion of consistency can help in cases where this is not possible. In the process, we develop an abstract theory of parts of a model that are read or modified by a bidirectional transformation. We relate the work to megamodelling and discuss further research that is needed.

Highlights

  • Model-driven development (MDD) has achieved some success; but it has not yet transformed software development, and a transformation is badly needed

  • We demonstrate that consistency restoration may be impossible to achieve at all, or impossible to achieve using the consistency restoration functions of the network’s binary bx, and that even if it can be achieved, different ways of achieving it may give different results

  • This paper has attempted to demonstrate some of the consequences of using bx in the large, to relate more than two models; we wanted to show how, eventually, bx may be an important tool in the automated management of development described by megamodels

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Summary

Introduction

Model-driven development (MDD) has achieved some success; but it has not yet transformed software development, and a transformation is badly needed. The demand for software, and especially for changes to software, outstrips the availability of skilled software engineers who can build the software and effect the changes. Communication between stakeholders (who know what changes are required) and software engineers (who can effect the changes) is a bottleneck which today’s agile development methods cannot fully overcome. MDD’s key aim is the separation of concerns into models, so that people can work with models that record all and only the information they need to make their decisions. Just to give a few examples, the development of a software system. Communicated by Mr Vinay Kulkarni and Prof.

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