Home > Research > Publications & Outputs > A Modelling Language to Support Evolution of Mu...

Electronic data

  • jumagaliyev2019lang

    Rights statement: ©2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Accepted author manuscript, 979 KB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License


Text available via DOI:

View graph of relations

A Modelling Language to Support Evolution of Multi-Tenant Cloud Data Architectures

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Publication date21/11/2019
Host publicationProceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems, MODELS 2019
Number of pages11
ISBN (electronic)9781728125367
ISBN (print)9781728125374
<mark>Original language</mark>English


Multi-tenant data architectures enable efficient resource utilization in cloud applications, but are currently being implemented in industry and research using manual coding techniques that tend to be time consuming and error prone. We propose a novel domain-specific modeling language, CadaML, to automatically manage the development and evolution of cloud data architectures that (a) adopt multi-tenancy and/or (b) comprise of a combination of different storage solutions such as relational and non-relational databases, and blob storage.
CadaML provides concepts and notations to support abstract modelling of a multi-tenant data architecture, and also provides tools to validate the data architecture and automatically produce application code. We rigorously evaluate CadaML through a user experiment where developers of various capabilities are asked to re-architect the data layer of an industrial business process analysis application. We observe that CadaML users required 3.5x less development time than manual coders. In addition to improved productivity, CadaML users highlighted other benefits gained in terms of reliability of generated code and usability.