Download - MDEForge: an extensible Web-based modeling platform

Dipartimento di Ingegneria e Scienze

Università degli Studi dell’Aquila

dell’Informazione e Matematica

MDEForge: an extensible

Web-based modeling platform

Francesco Basciani

Juri Di Rocco

Davide Di Ruscio

Amleto Di Salle

Ludovico Iovino

Alfonso Pierantonio

CloudMDE2014 – 30 SEPT 2014, Valencia, Spain

2Introduction

Over the last decades many MDE technologies have

been conceived to support a wide range of modeling

and model management activities


3Challenges

• A wider adoption of MDE technologies is still an

issue*

* Whittle, J., Hutchinson, J., Rouncefield, M., Burden, H., Heldal, R.: Industrial Adoption of Model-Driven Engineering: Are the Tools Really the Problem? In: MODELS. Volume 8107 of LNCS. Springer Berlin Heidelberg (2013) 1–17


4Challenges


issue

• Discovery and reuse of existing modeling

artefacts is very limited


5Challenges


issue




6Challenges


issue*




7Challenges


issue*



• Modelling and model management tools are

distributed as software packages that need to be

downloaded and installed


8Challenges


issue*



• Modelling and model management tools are

distributed as software packages that need to be

downloaded and installed


9Some tools providing storage features…


10


11…we need more

An extensible platform that permits to

• store and manage any kind of modeling artefacts

and tools

• use model management tools as software as a

service

• Modeling as a Service (MaaS) initiative*

*Hugo Bruneliere, Jordi Cabot and Frédéric Jouault, Combining Model-Driven Engineering and Cloud Computing. MDA4ServiceCloud'10 (ECMFA 2010)


12MDEForge

• Community-based repository of modeling artifacts

• It enables the adoption of model management

tools as software as a service

• It is modular and extensible

• It will support advanced mechanisms to query the

repository and find the required modeling artifacts

The platform is at its early stages

http://www.mdeforge.org/


13MDEForge users

• Developers of modeling artifacts: communities

of users that might want to share their tools and

enable their adoption and refinement by other

users

• Developers of MDEForge extensions:

experienced users might contribute by proposing

new extensions to be included in the platform

• End-users: By means of the Web access and the

REST API the platform enables end-users to

search and use (meta)models, transformations,

and editors available in the repository


14MDEForge architecture


15The MDEForge Repository

Repository metamodel fragment

Simple repository content


16The MDEForge Core


17

Examples of MDEForge extensions


18Automated chaining of model transformations

Problem



Solution: chaining process



Solution: representation of the related artifacts



Solution: developed MDEForge extension


22Measuring metamodels

• Understanding typical metamodel characteristics

• Different metrics applied on a corpus of more than

450 metamodels have been correlated

• to measure metamodeling aspects that modelers

typically use

• abstraction, inheritance, composition, …

• to reveal what are the common characteristics that can

increase the complexity of metamodels

J. Di Rocco, D. Di Ruscio, L. Iovino and A. Pierantonio, Mining metrics for understanding metamodelcharacteristics, in: ICSE 2014 Workshop on Modeling in Software Engineering (MiSE 2014), Hyderabad, India, 2014


26Public and Private

MDEForge installations

Public MDEForge

Private MDEForge 1 Private MDEForge n…..


27Conclusion and future works

• Lack of reusability during model-driven engineering (e.g., creating a DSL from scratch)

• Need to install and configure desktop-based applications to perform MDE development activities

• MDEForge has been proposed as an extensible modeling platform supporting the creation of a community-based modeling repository

• core services that can be extended and all of them are remotely available as software as a service

• users are not overwhelmed with intricate and error-prone installation and configuration procedures


28Conclusion and future works

We want to:

• investigate how to support advanced queries of

the repository

• manage public and private installations of the

MDEForge

• investigate issues that are typical in Cloud

computing, e.g., scalability of the platform, and

workload management

• deal with licensing issues


29

Download - MDEForge: an extensible Web-based modeling platform

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