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&lt;tr&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;}}&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt; &lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;}}&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
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{{Paper&lt;br /&gt;
|id=Vol-3170/poster3&lt;br /&gt;
|storemode=property&lt;br /&gt;
|title=Parametrisation of CSA-Nets&lt;br /&gt;
|pdfUrl=https://ceur-ws.org/Vol-3170/poster3.pdf&lt;br /&gt;
|volume=Vol-3170&lt;br /&gt;
|authors=Mohammed Alahmadi&lt;br /&gt;
|dblpUrl=https://dblp.org/rec/conf/apn/Alahmadi22&lt;br /&gt;
}}&lt;br /&gt;
==Parametrisation of CSA-Nets==&lt;br /&gt;
&amp;lt;pdf width=&amp;quot;1500px&amp;quot;&amp;gt;https://ceur-ws.org/Vol-3170/poster3.pdf&amp;lt;/pdf&amp;gt;&lt;br /&gt;
&amp;lt;pre&amp;gt;&lt;br /&gt;
Parametrisation of CSA-nets&lt;br /&gt;
Mohammed Alahmadi1&lt;br /&gt;
1 School of Computing, Newcastle University&lt;br /&gt;
&lt;br /&gt;
Science Square, Newcastle upon Tyne, NE4 5TG, United Kingdom&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
   The modelling approach proposed in this paper has its origin in the structured occurrence&lt;br /&gt;
nets [1] that are a Petri net-based model for the representation of the execution behavior of complex&lt;br /&gt;
evolving systems. They are an extension of occurrence nets which represent the causality and&lt;br /&gt;
concurrency information relating to a single system execution. In general, a structured occurrence&lt;br /&gt;
net consists of several occurrence nets linked through different types of formal relationships.&lt;br /&gt;
   A particular formal model we are using in this paper are the communication structured&lt;br /&gt;
occurrence nets (CSA-nets), which are generalisations of communication structured occurrence&lt;br /&gt;
nets (a subclass of structured occurrence nets [1]), where individual acyclic nets are linked by&lt;br /&gt;
buffer places capable of modelling both asynchronous and synchronous communication between&lt;br /&gt;
different subsystems.&lt;br /&gt;
&lt;br /&gt;
Master buffer places&lt;br /&gt;
A CSA-net consists of sets of acyclic nets that communicate with each other through a set of buffer&lt;br /&gt;
places. This can generate an excessive number of buffer places which makes the model hard to&lt;br /&gt;
visualise and analyse, especially for large CSA-nets. Therefore, in [2] we proposed to use master&lt;br /&gt;
buffer places (MBPs), which introduce conciseness to CSA-nets by collapsing/folding (some of)&lt;br /&gt;
the original buffer places into master buffer places. This allows buffer places to represent more&lt;br /&gt;
than one token at a time to avoid having a large number of distinct buffer places. Additionally,&lt;br /&gt;
it may allow the component acyclic nets to communicate through a unique buffer place. Inside&lt;br /&gt;
a master buffer place, there is a set of tokens represented by unique colours. A specific token&lt;br /&gt;
appears in the master buffer place without conflicting with other tokens in each execution since&lt;br /&gt;
the net is colour-safe due to the fact that the original CSA-net was safe. This enhances CSA-net&lt;br /&gt;
visualisation contributing to a more readable and understandable model.&lt;br /&gt;
&lt;br /&gt;
Parameterised CSA-nets&lt;br /&gt;
We will apply the concept of folding to other components of CSA-nets while preserving the overall&lt;br /&gt;
behaviour. The idea is to determine the set of the components that are behaving identically, and&lt;br /&gt;
then representing them as a single substructure. This uses typed parameters to achieve the desired&lt;br /&gt;
effect through passing coloured tokens to parameterised transition. Parameterisation is used to&lt;br /&gt;
change system outputs by changing its input parameters (in other words, different parameters can&lt;br /&gt;
be used to define a set of different outputs). The main advantage of parameterisations is that the&lt;br /&gt;
&lt;br /&gt;
International Workshop on Petri Nets and Software Engineering, June 21, 2022, Bergen, Norway&lt;br /&gt;
&amp;quot; m.s.h.alahmadi2@ncl.ac.uk (M. Alahmadi)&lt;br /&gt;
                                    © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).&lt;br /&gt;
 CEUR&lt;br /&gt;
 Workshop&lt;br /&gt;
 Proceedings&lt;br /&gt;
               http://ceur-ws.org&lt;br /&gt;
               ISSN 1613-0073       CEUR Workshop Proceedings (CEUR-WS.org)&lt;br /&gt;
�                                                p2                      p3&lt;br /&gt;
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                                                p5                      p6&lt;br /&gt;
                                                           d&lt;br /&gt;
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                        (a)                        q1                q2&lt;br /&gt;
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                                                p7         e            p8&lt;br /&gt;
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                                                            f&lt;br /&gt;
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                                             r2 : {p2}    {b}      r3 : {p3}&lt;br /&gt;
                          r1 : {p1}                        t2&lt;br /&gt;
                                       {a}                                       {c}   r4 : {p4}&lt;br /&gt;
                              p1:1&lt;br /&gt;
                              p1 : 2   t1                                        t3&lt;br /&gt;
                                                          {d}&lt;br /&gt;
                                                           t4&lt;br /&gt;
                                             r5 : {p5}             r6 : {p6}&lt;br /&gt;
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                        (b)                                     q : {q1 , q2 }&lt;br /&gt;
&lt;br /&gt;
                                             r7 : {p7}&lt;br /&gt;
                                                                   r8 : {p8}&lt;br /&gt;
                                                p7:1&lt;br /&gt;
                                               p7 : 2      t5&lt;br /&gt;
                                                         {e, f }&lt;br /&gt;
&lt;br /&gt;
Figure 1: A CSA-net (a); and the result of introducing master buffer place and folding (b).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
structure of a system model does not need to be re-built each time it is run. Such an approach&lt;br /&gt;
will allow the reuse of the model multiple times and increase comprehension and make larger&lt;br /&gt;
systems under investigation easier to handle. Figure 1 illustrates the transition from the original&lt;br /&gt;
CSA -nets to their parameterised versions.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
References&lt;br /&gt;
[1] M. Koutny, B. Randell, Structured occurrence nets: A formalism for aiding system failure&lt;br /&gt;
    prevention and analysis techniques, Fundamenta Informaticae 97 (2009) 41–91.&lt;br /&gt;
[2] M. Alahmadi, Master channel places for communication structured acyclic nets, in:&lt;br /&gt;
    M. Köhler-Bussmeier, E. Kindler, H. Rölke (Eds.), Proceedings of the International Workshop&lt;br /&gt;
    on Petri Nets and Software Engineering 2021, volume 2907 of CEUR Workshop Proceedings,&lt;br /&gt;
    CEUR-WS.org, 2021, pp. 233–240.&lt;br /&gt;
�&lt;br /&gt;
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