A scalable model based approach for data model evolution: Application to space missions data models

Abstract

Open Archive Toulouse Archive OuverteOATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible a b s t r a c t During the development of a complex system, data models are the key to a successful engineering process, as they contain and organize all the information manipulated by the different functions involved in the design of the system. Moreover, these data models evolve throughout the design, as the development raises issues that have to be solved through a restructuration of data organization. But any such data model evolution has a deep impact on the functions that have already being defined.Recent research tries to deal with this issue by studying how complex industrial data models evolve from one version to another and how their data instances co-evolve. Complexity and scalability issues make this problem a major scientific challenge, leading to huge gains in development efficiency. This problem is of particular interest in the field of aeronautics and space systems. Indeed, the development of these systems produces many complex data models associated to the designed systems and/or to the systems under design, hence on the one hand data models are available. On the other hand, it is well known that these systems are developed in the context of collaborative projects that may last for decades. In such projects, specifications together with the associated data models are bound to evolve and engineering processes shall take into account this evolution.Our work addresses the problem of data model evolution in a model-driven engineering setting. We focus on minimizing the impact of model evolution on the system development processes in the specific context on the space engineering area, where data models may involve thousands of concepts and relationships, and we investigate the performance of the model-based development (MBD) approach we propose for data model evolution over two space missions, namely PHARAO and MICROSCOPE.

Finding conservative schema evolutions by analysing API changes

“…Future work: As a perspective of this approach, we expect to realize a comparative study between the proposed approach and the previous one by comparing traces found by a graph comparison algorithm to structural differences found previously in [12]. We also intend to extend our work to address the evolution of models in presence of cardinalities.…”

“…Our previous work [12] proposes an intrusive approach to manage model evolution based on structural differences. It results in a set of evolution operators from source to target models.…”

ELM-Based AFL–SLFN Modeling and Multiscale Model-Modification Strategy for Online Prediction

“…Data-based modeling is becoming important in the field of engineering [1]. However, such models may become inaccurate or ineffective owing to process dynamics and disturbances, such as variations of the feed properties, the process conditions, and aging equipment [2,3].…”