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+Statecharts, introduced by Harel~\cite{Harel_Statecharts}, is used to specify complex, timed, reactive, autonomous discrete-event systems.
+It is an extension of Timed Finite State Automata which adds depth, orthogonality, broadcast communication and history.
+Its visual representation is based on higraphs, which combine graphs and Venn diagrams~\cite{Harel_VisualFormalisms}.
+This representation is most suited to represent Statecharts models, and many tools offer visual editing and simulation support for the Statecharts formalism.
+Examples include STATEMATE~\cite{Harel1996}, Rhapsody~\cite{Harel_Rhapsody}, Yakindu~\footnote{\url{https://www.itemis.com/en/yakindu/statechart-tools/}}, and Stateflow~\footnote{\url{https://www.mathworks.com/products/stateflow.html}}.
+
+This tutorial introduces Statecharts modelling, simulation, and testing.
+As a running example, the behaviour of a simple timed, autonomous, reactive system is modelled: a traffic light.
+We start from the basic concepts of states and transitions and explain the more advanced concepts of Statecharts by extending the example incrementally.
+We discuss several semantics options, such as STATEMATE and Rhapsody semantics.
+We use Yakindu to model the example system.

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+\citation{Harel_Statecharts}
+\citation{Harel_VisualFormalisms}
+\citation{Harel1996}
+\citation{Harel_Rhapsody}
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+\bibcite{Harel_Statecharts}{1}
+\bibcite{Harel_VisualFormalisms}{2}
+\bibcite{Harel1996}{3}
+\bibcite{Harel_Rhapsody}{4}
+\@writefile{toc}{\contentsline {section}{References}{2}{section*.11}}

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+\bibitem{Harel_Statecharts}
+D.~Harel, ``Statecharts: a visual formalism for complex systems,''
+  \emph{Science of Computer Programming}, vol.~8, no.~3, pp. 231--274, June
+  1987.
+
+\bibitem{Harel_VisualFormalisms}
+\BIBentryALTinterwordspacing
+------, ``On visual formalisms,'' \emph{Commun. ACM}, vol.~31, no.~5, pp.
+  514--530, May 1988. [Online]. Available:
+  \url{http://doi.acm.org/10.1145/42411.42414}
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+
+\bibitem{Harel1996}
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+D.~Harel and A.~Naamad, ``{The STATEMATE Semantics of Statecharts},'' \emph{ACM
+  Trans. Softw. Eng. Methodol.}, vol.~5, no.~4, pp. 293--333, oct 1996.
+  [Online]. Available: \url{http://doi.acm.org/10.1145/235321.235322}
+\BIBentrySTDinterwordspacing
+
+\bibitem{Harel_Rhapsody}
+D.~Harel and H.~Kugler, \emph{Integration of Software Specification Techniques
+  for Applications in Engineering: Priority Program SoftSpez of the German
+  Research Foundation (DFG), Final Report}.\hskip 1em plus 0.5em minus
+  0.4em\relax Berlin, Heidelberg: Springer Berlin Heidelberg, 2004, ch. The
+  Rhapsody Semantics of Statecharts (or, On the Executable Core of the UML),
+  pp. 325--354.
+
+\end{thebibliography}

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main.tex

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+\documentclass[conference]{IEEEtran}
+\usepackage{url}
+\usepackage{hyperref}
+\usepackage{amssymb,amsfonts,amsmath}
+\usepackage{xspace}
+\usepackage{graphicx}
+
+\begin{document}
+\title{Statecharts Modelling and Simulation}
+\author{\IEEEauthorblockN{Simon Van Mierlo} \and \IEEEauthorblockN{Hans Vangheluwe}}
+
+\maketitle
+
+\section*{Presenters}
+\textbf{\uppercase{Simon Van Mierlo}} is a post-doctoral researcher at the University of Antwerp (Belgium).
+He is a member of the Modelling, Simulation and Design (MSDL) research lab.
+For his PhD thesis, he developed debugging techniques for modelling and simulation formalisms by explicitly modelling their executor's control flow using Statecharts.
+He is the main developer and maintainer of SCCD, a hybrid formalism that combined Statecharts with class diagrams.
+His e-mail address is \url{Simon.VanMierlo@uantwerpen.be}.
+\\
+
+\textbf{\uppercase{Hans Vangheluwe}} is a Professor at the University of Antwerp (Belgium), an Adjunct Professor at McGill University (Canada) and an Adjunct Professor at the National University of Defense Technology (NUDT) in Changsha, China.
+He heads the Modelling, Simulation and Design (MSDL) research lab.
+In a variety of projects, often with industrial partners, he develops and applies the model-based theory and techniques of Multi-Paradigm Modelling (MPM).
+His current interests are in domain-specific modelling and simulation, including the development of graphical user interfaces for multiple platforms.
+To model such reactive systems, he advocates the use of Statecharts to describe their behaviour.
+His e-mail address is \url{Hans.Vangheluwe@uantwerpen.be}.
+
+\section*{Abstract}
+\input{abstract.tex}
+
+\section*{Keywords}
+Statecharts, reactive systems, testing, Yakindu
+
+\section*{Length}
+The proposed length of the tutorial is three hours.
+
+\section*{Level of the Tutorial}
+Introductory. No knowledge of Statecharts or the tool (Yakindu) is necessary.
+
+\section*{Target Audience}
+Modellers with an interest in specifying the behaviour of reactive systems using Statecharts.
+
+\section*{Novelty}
+This tutorial has previously been given (in 2017) at the Spring Simulation Multi-Conference (SpringSim)\footnote{\url{http://scs.org/springsim}}.
+Due to the success of this tutorial, a second edition of the tutorial is scheduled for the 2018 edition of this conference.
+Since this conference is mainly targeted at an audience with a simulation background, the tutorial focuses on the introduction of modelling for specifying reactive systems, and covers the basics of Statecharts.
+For the audience at the MoDELS conference, we will discuss Statecharts more extensively and in-depth, focusing on the applicability to more complex systems than the running example.
+
+\section*{Description of the Tutorial and Intended Outline}
+\input{tutorial_description.tex}
+
+\section*{Required Infrastructure}
+A data projector is required.
+
+\section*{Sample Slides}
+A number sample slides of the previous versions of the tutorial are attached.
+
+\bibliographystyle{IEEEtran}
+\bibliography{bibliography}
+
+\end{document}

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tutorial_description.tex

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+%!TEX root = main.tex
+\begin{itemize}
+  \item Discovery of the complexity in engineerd systems, which often can be attributed to them having timed, reactive, autonomous behaviour.
+  A number of such systems are presented to demonstrate this complexity.
+  To effectively develop these systems, traditional approaches based on threads and timeouts add accidental complexity.
+  These approaches focus on ``how'' the system's behaviour is implemented, instead of ``what'' the system is supposed to do.
+  Instead, a language which has notions of \emph{events}, \emph{timeouts} and \emph{concurrent units} is needed.
+  \item Introduction of the notion of discrete-event abstraction, in which a system's autonomous behaviour can be interrupted by external events coming from the environment, and the system can produce output to that environment.
+  \item Introduction of Statecharts as an appropriate formalism to model a reactive system's behaviour using a discrete-event abstraction.
+  \item Introduction of the running example of the tutorial: a traffic light.
+  This example is basic, but has all essential complexity: it is timed, since its lights have to switch autonomously, and it is reactive, since its normal execution can be interrupted by a policeman.
+  \item Throughout the tutorial, a workflow for designing, testing, and deploying systems using Statecharts is presented:
+    \begin{enumerate}
+      \item First, a set of requirements are gathered: these are properties the system's behaviour needs to satisfy, and are typically described in text.
+      \item Then, an initial design is created as a Statecharts model.
+      The model implements (part of) the system's specification.
+      \item The model needs to be verified (\emph{i.e.}, we need to check whether its behavioural properties are satisfied).
+      To do this, the model can be \emph{simulated} (in which the user defines a simulation scenario and checks the outcome of the simulation manually) or it can be \emph{tested} (in which the user defines a number of test cases, which consist of a set of timed inputs that are supplied to the model, and an automatic checker or ``oracle'' that verifies whether the test succeeds).
+      If a simulation or test results in a \emph{failure} (i.e., one of the system's properties is not satisfied), the system's model needs to be revised.
+      \item When the system's design has gone through several simulation and testing phases, and its behaviour is properly verified, code can be generated to deploy it.
+    \end{enumerate}
+  \item With the workflow in mind, explanation of the basic building blocks of Statecharts: \emph{states} and \emph{transitions} (which are triggered by \emph{events} and optionally have a constraint that needs to be satisfied).
+  \item Progressively introduce new elements of the Statecharts language: hierarchy, orthogonality, and history.
+  For each concept, both the syntax and the semantics of the concept is explained and applied to the example.
+  And, a demonstration of each concept (including simulation to demonstrate semantics) in the Yakindu modelling and simulation tool.
+  \item Demonstration of the testing of Statecharts models.
+  Since a test consists of an input event trace, and an ``oracle'' which checks the output event trace, a test can be seen as a timed, reactive system as well.
+  The tests in this tutorial, therefore, are modelled with Statecharts as well.
+  They can either be modelled as three communication Statecharts (the input Statechart, the model under test, and the oracle), or in a single Statechart model in orthogonal components.
+  \item Demonstration of code generation (to Java).
+  For this, the code generation capabilities of the Yakindu tool are used.
+  A generic visualization for the traffic light example is built, with which the generated code from the behavioural model communicates through the interface of the model (input/output events).
+\end{itemize}