The MONDO Project aims to address challenges with managing large and complex models through scalable modeling languages, querying and transformations, collaborative modeling, and efficient model persistence. It involves research partners and case studies from industries like software modernization and offshore wind power. The goals are to develop open-source solutions for scalable modeling and model management in the cloud to enable effective use of modeling techniques on large systems.

1. MONDO Project, a scalable
modeling and model
management on the Cloud
Alessandra Bagnato, Softeam R&D, Modelio.org
Paris Open Source Summit, POSS 2015
Paris, 19th November 2015
Big Data Track
1MONDO Project, a scalable modeling and model management on the Cloud

2. MDE: Not too long ago...
 Fragmentation of modelling frameworks
and model representation formats
 Half-baked graphical/textual editor
frameworks
 Limited interoperability between tools
 Scarcity of MDE-aware engineers
2MONDO Project, a scalable modeling and model management on the Cloud

3. We’ve come a long way...
 EMF has become the de-facto standard modelling
framework
 Wide acceptance of XMI as a model interchange
format
 Mature graphical editing frameworks (GMF,
Graphiti, Sirius)
 Powerful textual editing frameworks (Xtext,
EMFText)
 Mature languages for model transformation,
validation etc.
 MDE courses taught in universities worldwide
3MONDO Project, a scalable modeling and model management on the Cloud

4. ... and still have a long way to go
 Model management languages struggle
with models containing more than a
few 100Ks model elements
 XMI is great for interoperability but its
performance is poor
 There is little guidance on designing
large DSLs / DSLs for large models
 Working with large models is still a
dark art
4MONDO Project, a scalable modeling and model management on the Cloud

5. ... and still have a long way to go
 Model-specific version control systems
have not achieved significant adoption
 Model-agnostic version control systems
make it difficult to maintain control
over fragmented models
 Online collaborative modelling (Google
Docs style): many incomplete
prototypes
5MONDO Project, a scalable modeling and model management on the Cloud

6. MONDO Project
 MONDO is a Specific Targeted
Research Project (STREP) of the
Seventh Framework Programme for
research and technological
development (FP7)
6MONDO Project, a scalable modeling and model management on the Cloud

7. MONDO: Project Vision
 Bring together research partners with a
proven track record in MDE to tackle
some of these challenges
 Guide and validate solutions through
real-world case studies and an advisory
board of international experts in MDE
 Release developed solutions as open-
source software that will outlive
MONDO
7MONDO Project, a scalable modeling and model management on the Cloud

8. Partner roles
Use Cases, requirements
validation
 Ikerlan (ES)
 Softeam (FR)
 Soft-Maint (FR)
 UNINOVA (PT)
Dissemination and
industry standards
 Open Group (UK)
Technology providers
 Softeam (FR)
 UNINOVA (PT)
Research/development
 ARMINES (FR)
 Auton. Univ of Madrid (ES)
 Budapest University of Technology and
Economics (HU)
 Univ of York (UK)
8MONDO Project, a scalable modeling and model management on the Cloud

9. 4 Pillars for Scalable MDE
1. Construction and visualisation of large
and heterogeneous models/modelling
languages
2. Querying and transforming large
models
3. Online and offline collaborative
modelling
4. Efficient and secure persistence of
large models
9MONDO Project, a scalable modeling and model management on the Cloud

10. WP3: Scalable
Queries and
Transformations
WP2: Scalable
Domain Specific
Languages
Toolkit for
constructing
scalable DSLs
produces
Scalable
DSLs
Scalable
Concrete Visual
Syntax Toolkit
WP5:
Scalable
Model
Persistence
WP4: Scalable
Collaborative
Modelling
Collaborative
Modelling
Tools
produces
produces
Primitives and
Patterns for
Collaborative
Modelling
produces
defined using
Large-Scale
Models
conform to
Transformation
Benchmarks
produces
Reactive and Cloud
based Querying and
Transformation Engines
produces
used to measure
query and
transform
Guidelines
and Best
Practices
produces
defined following
underpin
used to manage
Efficient Model
Persistence
Format
produces
Model Indexing
Framework
produces
indexes
stored in
used to explore/edit
use for global queries

11. Technical Work Packages
 WP1 Requirements & Use Cases: The Open
Group
 WP2 Scalable Domain Specific Languages:
Universitad Autonoma Madrid
 WP3 Scalable Queries and Transformations:
ARMINES
 WP4 Scalable Collaborative Modelling:
Budapest University of Economics and Technology
 WP5 Scalable Model Persistence: University of
York
 WP6 Platform Integration and Evaluation:
University of York
11MONDO Project, a scalable modeling and model management on the Cloud

13. 4 Case Studies (1/2)
 SOFT-MAINT
 Reverse engineering and automated re-
implementation of large software systems
 Key challenges
• efficient extraction, validation and
transformation of large models
 Ikerlan
 Development of mixed-criticality systems
 Key challenges
• Collaborative modelling
• Cloud-based model storage
• Scalable visualisation
13MONDO Project, a scalable modeling and model management on the Cloud

14. 4 Case Studies (2/2)
 Uninova
 Collaborative design and version control of building
models
 Key challenges
• Collaborative modelling
• Scalable model analysis
 Softeam
 Integration of an existing UML tool (Modelio) with
the scalable infrastructure provided by MONDO
 Key challenges
• Scalable persistence
• Synchronous collaboration
• Scalable graphical syntaxes
14MONDO Project, a scalable modeling and model management on the Cloud

15. #1: IT Modernisation Factory
 Industrial partner: SOFT-MAINT
 Aim
 Facilitate modernisation (reverse
engineering and automated re-
implementation) of large software systems
 Key challenges
 efficient management of large models
(extracted from source code)
 efficient validation and transformation of
large models
 efficient code generation

16. #2: Modelling for Offshore
Wind Power
 Industrial partner: Ikerlan
 Aim
 Development of mixed-criticality systems
using an MDE approach that involves large
and heterogeneous models
 Key challenges
 Collaborative modelling
 Cloud-based model storage
 Scalable visualisation
 Heterogeneous modelling languages

17. #3: Large-Scale Open-BIM
 Industrial partner: Uninova
 Aim
 Facilitate the management of large
Building Information Models (BIM) used in
the construction industry
 Key challenges
 Collaborative modelling
 Scalable domain-specific languages
 Efficient persistence of large models
 Scalable model transformation

18. #4: Modelio Modelling Tool
 Industrial partner: SOFTEAM
 Aim
 Integrate the results of MONDO with the
Teamwork Manager of the Modelio UML
modelling tool that SOFTEAM is developing
 Key challenges
 Scalable model persistence
 Synchronous collaboration
 Scalable graphical syntaxes

19. alessandra.bagnato@softeam.fr
 SOFTEAM (ST), a growing
company
 25+ Years experience
 840 experts
 Regular growth
19
SOFTEAM
 Specialist in OO
technologies, new
architectures,
methodologies
21,5 ME
2007
20 ME
17,5 ME
23 ME
200820062005
...
2015
80 ME
Paris
Rennes
Nantes
Aix
Sophia
Toulouse

20. Modelio for Software
and System Engineering
 Softeam’s work in MONDO will be exploited in
SOFTEAM’s Modelio tool.
 Modelio is dedicated to professional modelling
and development activities and provides
 complete support of UML2 modelling
 Enterprise Architecture modeling,
 BPM models and
 SOA modeling.
 It supports for
 MDA customization,
 XMI import and export
 Extensible through a wide range of modules.
16MONDO Project, a scalable modeling and model management on the Cloud

21. Modelio for Software
and System Engineering
 UML editor with more than 20
years’ history
 CloudML
 SysML
 MARTE
 Code generation
 Documentation
 Teamwork
• Available under open
source at
Modelio.org
17MONDO Project, a scalable modeling and model management on the Cloud

22. Conclusions
 Enable the application of
MDE techniques to large-
scale systems
 Streamline the
development of large
domain-specific
languages
 Enable the construction
and automated
management of large
models
 Support large distributed
teams of engineers
22
 Open source strategy
 Contributions to existing
open-source projects
 Establishment of new
open-source projects
 Commercial exploitation
 Industrial partners
 Standardisation
 High-performance model
persistence format
MONDO Project, a scalable modeling and model management on the Cloud

23. Contacts
Alessandra Bagnato, SOFTEAM
Alessandra.bagnato@softeam.fr
Modelio Web Site :
http://www.modelio.org
MONDO
http://www.mondo-project.org/
@mondo_project
http://mondo-project.github.io/
https://www.linkedin.com/grp/h
ome?gid=8292789
23
IT Services
/ UML Tools
Research
Management
Standardization
MONDO Project, a scalable modeling and model management on the Cloud