From owner-chemistry -A_T- ccl.net Mon Sep 8 20:43:00 2014 From: "Daniele Gianni daniele.gianni]-[gmail.com" To: CCL Subject: CCL: [CfP] 5th International Workshop on Model-driven Approaches for Simulation Engineering (Mod4Sim) Message-Id: <-50483-140908181936-23241-0Oua38rbQh4imOlDcufFfA*_*server.ccl.net> X-Original-From: Daniele Gianni Content-Type: multipart/alternative; boundary=047d7bfcfdbc661644050295364f Date: Tue, 9 Sep 2014 00:19:29 +0200 MIME-Version: 1.0 Sent to CCL by: Daniele Gianni [daniele.gianni:+:gmail.com] --047d7bfcfdbc661644050295364f Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable ################################################################# 5th International Workshop on Model-driven Approaches for Simulation Engineering part of the Symposium on Theory of Modeling and Simulation (SCS SpringSim 2015) CALL FOR PAPERS ################################################################# April 12-15, 2015, Alexandria, VA (USA) http://www.sel.uniroma2.it/Mod4Sim15 ################################################################# # Papers Due: *** November 10, 2014 *** Accepted papers will be # published in the conference proceedings and archived in the ACM # Digital Library. ################################################################# The workshop aims to bring together experts in model-based, model-driven and software engineering with experts in simulation methods and simulation practitioners, with the objective to advance the state of the art in model-driven simulation engineering. Model-driven engineering approaches provide considerable advantages to software systems engineering activities through the provision of consistent and coherent models at different abstraction levels. As these models are in a machine readable form, model-driven engineering approaches can also support the exploitation of computing capabilities for model reuse, programming code generation, and model checking, for example. The definition of a simulation model, its software implementation and its execution platform form what is known as simulation engineering. As simulation systems are mainly based on software, these systems can similarly benefit from model-driven approaches to support automatic software generation, enhance software quality, and reduce costs, development effort and time-to-market. Similarly to systems and software engineering, simulation engineering can exploit the capabilities of model-driven approaches by increasing the abstraction level in simulation model specifications and by automating the derivation of simulator code. Further advantages can be gained by using modeling languages, such as UML and SysML, but not exclusively those. For example, modeling languages can be used for descriptive modeling (to describe the system to be simulated), for analytical modeling (to specify analytically the simulation of the same system) and for implementation modeling (to define the respective simulator). A partial list of topics of interest includes: * model-driven simulation engineering processes * requirements modeling for simulation * domain specific languages for modeling and simulation * model transformations for simulation model building * model transformations for simulation model implementation * model-driven engineering of distributed simulation systems * relationship between metamodeling standards (e.g., MOF, Ecore) and distributed simulation standards (e.g., HLA, DIS) * metamodels for simulation reuse and interoperability * model-driven technologies for different simulation paradigms (discrete event simulation, multi-agent simulation, sketch-based simulation, etc.) * model-driven methods and tools for performance engineering of simulation systems * simulation tools for model-driven software performance engineering * model-driven technologies for simulation verification and validation * model-driven technologies for data collection and analysis * model-driven technologies for simulation visualization * executable UML * executable architectures * SysML/Modelica integration * simulation model portability and reuse * model-based systems verification and validation * simulation for model-based systems engineering To stimulate creativity, however, the workshop maintains a wider scope and welcomes contributions offering original perspectives on model-driven engineering of simulation systems. +++++++++++++++ Important Dates +++++++++++++++ * Abstract Submission Deadline (optional): September 12, 2014 * Paper Submission Deadline: November 10, 2014 * Decision to paper authors: January 9, 2015 * Camera ready due: February 10, 2015 * Conference dates: April 12-15, 2015 ++++++++++++++++++++ Organizing Committee ++++++++++++++++++++ * Andrea D=C3=95Ambrogio - University of Rome "Tor Vergata", Italy * Paolo Bocciarelli - University of Rome "Tor Vergata", Italy --047d7bfcfdbc661644050295364f Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable

######################################= ###########################
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 = =C2=A0 =C2=A0 5th International Workshop on
=C2=A0 =C2=A0 =C2=A0M= odel-driven Approaches for Simulation Engineering

= =C2=A0 part of the Symposium on Theory of Modeling and Simulation
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 (SCS= SpringSim 2015)

=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 CALL FOR PAPERS
###= ##############################################################
= =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0=C2=A0=
April 12-15, 2015, Alexandria, VA (USA)
http://www.sel.uniroma2.it/Mod4Sim15=

#################################################= ################
# Papers Due: *** November 10, 2014 *** Accepted= papers will be
# published in the conference proceedings and arc= hived in the ACM
# Digital Library.
###################= ##############################################

The= workshop aims to bring together experts in model-based,
model-dr= iven and software engineering with experts in simulation
methods = and simulation practitioners, with the objective to
advance the s= tate of the art in model-driven simulation
engineering.

Model-driven engineering approaches provide considerable
advantages to software systems engineering activities through the
provision of consistent and coherent models at different
abstraction levels. As these models are in a machine readable
fo= rm, model-driven engineering approaches can also support the
expl= oitation of computing capabilities for model reuse,
programming c= ode generation, and model checking, for example.

T= he definition of a simulation model, its software implementation
= and its execution platform form what is known as simulation
engin= eering. As simulation systems are mainly based on software,
these= systems can similarly benefit from model-driven approaches
to su= pport automatic software generation, enhance software
quality, an= d reduce costs, development effort and time-to-market.

=
Similarly to systems and software engineering, simulation
en= gineering can exploit the capabilities of model-driven
approaches= by increasing the abstraction level in simulation
model specific= ations and by automating the derivation of
simulator code. Furthe= r advantages can be gained by using
modeling languages, such as U= ML and SysML, but not exclusively
those. For example, modeling la= nguages can be used for
descriptive modeling (to describe the sys= tem to be simulated),
for analytical modeling (to specify analyti= cally the simulation
of the same system) and for implementation m= odeling (to define
the respective simulator).

A partial list of topics of interest includes:

* model-driven simulation engineering processes
* requirements= modeling for simulation
* domain specific languages for modeling= and simulation
* model transformations for simulation model buil= ding
* model transformations for simulation model implementation<= /div>
* model-driven engineering of distributed simulation systems
* relationship between metamodeling standards (e.g., MOF, Ecore)
=C2=A0 and distributed simulation standards (e.g., HLA, DIS)
* metamodels for simulation reuse and interoperability
* model-= driven technologies for different simulation paradigms
=C2=A0 (di= screte event simulation, multi-agent simulation,
=C2=A0 sketch-ba= sed simulation, etc.)
* model-driven methods and tools for perfor= mance engineering of
=C2=A0 simulation systems
* simula= tion tools for model-driven software performance
=C2=A0 engineeri= ng
* model-driven technologies for simulation verification and
=C2=A0 validation
* model-driven technologies for data co= llection and analysis
* model-driven technologies for simulation = visualization
* executable UML
* executable architectur= es
* SysML/Modelica integration
* simulation model port= ability and reuse
* model-based systems verification and validati= on
* simulation for model-based systems engineering
To stimulate creativity, however, the workshop maintains a wide= r
scope and welcomes contributions offering original perspectives=
on model-driven engineering of simulation systems.
+++++++++++++++ Important Dates +++++++++++++++

<= /div>
=C2=A0* Abstract Submission Deadline (optional): September 12, 20= 14
=C2=A0* Paper Submission Deadline: November 10, 2014
=C2=A0* Decision to paper authors: January 9, 2015
=C2=A0* Camer= a ready due: February 10, 2015
=C2=A0* Conference dates: April 12= -15, 2015

++++++++++++++++++++ Organizing Committe= e ++++++++++++++++++++

* Andrea D=C3=95Ambrogio - = University of Rome "Tor Vergata", Italy
* Paolo Bocciar= elli - University of Rome "Tor Vergata", Italy
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