SEFeb 22, 2018

Evolution in complex objects

arXiv:1802.07974v1
Originality Synthesis-oriented
AI Analysis

This work addresses data evolution management for designers of complex object systems, but it appears incremental as it builds on existing concepts from object systems.

The paper tackles the problem of managing data evolution in complex object systems by proposing a model that uses graph classes, evolution rules, and propagation strategies, allowing designers to create or reuse evolution mechanisms based on application needs.

This paper describes work carried out on a model for the evolution of graph classes in complex objects. By defining evolution rules and propagation strategies on graph classes, we aim to define a user-definable means to manage data evolution model which tackles the complex nature of the classes managed, using the concepts defined in object systems. So, depending on their needs and on those of the targeted application, designers can choose the evolution mechanism they consider to suit them best. They can either create new evolutions or reuse predefined ones to respond to a given need.

Foundations

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