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<record>
  <title>Model Integration Approach from SysML to MATLAB/Simulink</title>
  <journal>Journal of Digital Information Management</journal>
  <author>Bassim CHABIBI, Adil ANWAR, Mahmoud NASSAR</author>
  <volume>16</volume>
  <issue>6</issue>
  <year>2018</year>
  <doi>10.6025/jdim/2018/16/6/289-307</doi>
  <url>http://dline.info/fpaper/jdim/v16i6/jdimv16i6_2.pdf</url>
  <abstract>In system engineering process, descriptive system models seem to be insufficient in order to perform a system verification which fulfils various stakeholder's requirements. This aspect is well handled by simulation process through the use of several simulation techniques or algorithms. As a consequence, design process efficiency is considerably reduced by the fact that both system modeling and simulation tools are often used separately. This study introduces an integration process to
unify the potential provided by systems modeling languages
and simulation environments, through the definition
of a Domain Specific Language, namely Simulation
Modeling Language, that is built on the basis ofa deep
study of common constructs, semantics and modeling
methodologies of several simulation environments, in addition
to the specification of a model transformation between
this language and a simulation environment
(MATLAB/SImulink) in order to illustrate both its importance
et its efficiency in our integration approach. Through
the specification of its syntaxes and semantics, the defined
intermediate modeling language allows modeling
systems by using common constructs and modeling methodologies
of simulation process in order to ensure their
modeling with simulation environments and, thus, conduct
experiences and system verifications. The definition
of this language constitutes the basis of our integration
approach aiming to bridge the gap between system modeling
and simulation aspects in order to benefit from the
strengths and potentials of both approaches. The integration
approach consists on the specification of a bidirectional
transformation, based on the concepts of Model-
Driven Engineering, to perform in future works.</abstract>
</record>
