update paper

doc/paper/paper.bib

@@ -27,7 +27,7 @@ @inproceedings{junghanns2021functional
 @misc{reference_fmus,
   author       = {{Modelica Association}},
   title        = {Reference FMUs},
-  year         = {2024},
+  year         = {2023},
   url          = {https://github.com/modelica/Reference-FMUs},
   note         = {Accessed: 2024-12-02},
   abstract     = {A collection of reference Functional Mock-up Units (FMUs) for testing and validation of FMI tools and implementations.}
@@ -36,7 +36,7 @@ @misc{reference_fmus
 @misc{fmu4j,
   author       = {Hatledal, Lars Ivar},
   title        = {FMU4j - A JVM framework for creating FMUs},
-  year         = {2024},
+  year         = {2021},
   url          = {https://github.com/Ecos-platform/FMU4j},
   note         = {Accessed: 2024-12-02},
   abstract     = {FMU4j is a software package for the JVM that enables export of models compatible with FMI 2.0 for Co-simulation.}
@@ -45,7 +45,7 @@ @misc{fmu4j
 @misc{cppfmu,
   author       = {Viproma},
   title        = {cppfmu - A C++ library for FMU development},
-  year         = {2024},
+  year         = {2017},
   url          = {https://github.com/viproma/cppfmu},
   note         = {Accessed: 2024-12-02},
   abstract     = {cppfmu is a C++ library designed to simplify the creation of Functional Mock-up Units (FMUs) for the FMI standard.}
@@ -62,7 +62,7 @@ @inproceedings{hatledal2020enabling
 @misc{javafmi,
   author       = {Siani},
   title        = {JavaFMI - A Java library for working with FMUs},
-  year         = {2024},
+  year         = {2015},
   url          = {https://bitbucket.org/siani/javafmi/wiki/Home},
   note         = {Accessed: 2024-12-02},
   abstract     = {JavaFMI is a library that enables loading, interacting with, and simulating Functional Mock-up Units (FMUs) using Java.}
@@ -78,8 +78,8 @@ @inproceedings{legaard2021universal
 
 @misc{FMPy,
   title        = {FMPy - A Python library to simulate Functional Mock-up Units (FMUs)},
-  author       = {CATIA Systems},
-  year         = {2024},
+  author       = {{CATIA Systems}},
+  year         = {2017},
   publisher    = {GitHub},
   journal      = {GitHub repository},
   howpublished = {\url{https://github.com/CATIA-Systems/FMPy}},

doc/paper/paper.md

@@ -1,9 +1,7 @@
 ---
 title: 'FMU4cpp: A GitHub template repository for creating Functional Mockup Units in C++'
 tags:
-  - FMI
-  - FMI 2.0
-  - FMU
+  - Functional Mockup Interface
   - Simulation and Modelling
   - CMake
   - GitHub Actions
@@ -42,6 +40,11 @@ on an Ubuntu and Windows runner.
 The resulting shared libraries are then joined into a final archive which can be directly downloaded and 
 imported into a simulation tool.
 
+\autoref{fig:bb} demonstrates simulation of a simple *BouncingBall* model generated with FMU4cpp within the Python simulation library FMPy [@FMPy].
+Similarly, the generated FMU can be imported into any of the many available simulation tools compatible with FMI 2.0 for Co-simulation.
+
+![Bouncing ball model created with FMU4cpp simulated with FMPy.\label{fig:bb}](figures/bouncing_ball.png)
+
 
 # Statement of need
 
@@ -66,16 +69,13 @@ Thus, FMU4cpp provides a significant usability improvement over these alternativ
 1. Provides a simplified API to implement. 
 2. Generates the required XML metadata.
 3. Verifies the FMU against the standard.
-4. Cross-compiles the shared library
-5. Packages the FMU
+4. Cross-compiles the shared library.
+5. Packages the FMU.
 
 A framework like FMU4cpp is useful for generating both simple and more complex models that does not fit with the restrictions
 of a specialized modelling tools. Targeting C++ is also useful compared to similar solutions for Python and Java,
 as a runtime is not necessarily required to invoke the model, increasing portability.
 
-Figure \autoref{fig:bb} demonstrates simulation of a simple *BouncingBall* model generated with FMU4cpp within the Python simulation library FMPy [@FMPy].
-
-![Bouncing ball model created with FMU4cpp simulated with FMPy.\label{fig:bb}](figures/bouncing_ball.png)
 
 # Future of FMU4cpp