#344 Use DSM extension for dsm data files.

common/org.eclipse.escet.common.documentation/asciidoc/tools/dsm-clustering.asciidoc

@@ -33,7 +33,7 @@ indexterm:[DSM clustering,start]
 
 The clustering tool can be started in the following ways:
 
-* In Eclipse, right click a `.csv` file in the _Project Explorer_ tab or _Package Explorer_ tab and choose menu:Cluster a DSM... .
+* In Eclipse, right click a `.dsm` file in the _Project Explorer_ tab or _Package Explorer_ tab and choose menu:Cluster a DSM... .
 
 * Use the `dsmclustering` tool in a ToolDef script.
 See the <<tools-scripting-chapter-intro,scripting documentation>> and <<tools-scripting-chapter-tools,tools overview>> page for details.
@@ -46,10 +46,10 @@ indexterm:[DSM clustering,options]
 
 Besides the general application options, this application has the following options:
 
-* _Input file path_: The absolute or relative file system path to the input CSV input file.
+* _Input file path_: The absolute or relative file system path to the input DSM input file.
 
-* _Output file path_: The absolute or relative file system path for writing the generated CSV output file.
-By default, the output file path is the same as the input file path, but with the `.csv` extension removed (if it exists), and the `_output.csv` extension added.
+* _Output file path_: The absolute or relative file system path for writing the generated DSM output file.
+By default, the output file path is the same as the input file path, but with the `.dsm` extension removed (if it exists), and the `_output.dsm` extension added.
 By setting this option, the default is overridden by the given value.
 
 * _Evaporation factor_: Factor that influences when a node is considered to be part of a cluster.

common/org.eclipse.escet.common.dsm.app/examples/pimmler/pimmler.tooldef

@@ -22,8 +22,8 @@ from "lib:common" import *;
 // Wilschut T. System specification and design structuring methods for a
 // lock product platform. Eindhoven: Technische Universiteit Eindhoven, 2018. 178 p.
 
-dsm_clustering("pimmler.csv",
-              "-o pimmler1_out.csv",
+dsm_clustering("pimmler.dsm",
+              "-o pimmler1_out.dsm",
               "-m debug",
               "--evaporation=1.5",
               "--inflation=2",
@@ -31,8 +31,8 @@ dsm_clustering("pimmler.csv",
               "--convergence=1e-10",
               "--stepcount=2");
 
-dsm_clustering("pimmler.csv",
-              "-o pimmler2_out.csv",
+dsm_clustering("pimmler.dsm",
+              "-o pimmler2_out.dsm",
               "-m debug",
               "--evaporation=2.5",
               "--inflation=2.5",
@@ -40,8 +40,8 @@ dsm_clustering("pimmler.csv",
               "--convergence=1e-10",
               "--stepcount=2");
 
-dsm_clustering("pimmler.csv",
-              "-o pimmler3_out.csv",
+dsm_clustering("pimmler.dsm",
+              "-o pimmler3_out.dsm",
               "-m debug",
               "--evaporation=1.5",
               "--inflation=2",
@@ -49,8 +49,8 @@ dsm_clustering("pimmler.csv",
               "--convergence=1e-10",
               "--stepcount=2");
 
-dsm_clustering("pimmler.csv",
-              "-o pimmler4_out.csv",
+dsm_clustering("pimmler.dsm",
+              "-o pimmler4_out.dsm",
               "-m debug",
               "--evaporation=1.5",
               "--inflation=2",
@@ -58,8 +58,8 @@ dsm_clustering("pimmler.csv",
               "--convergence=1e-10",
               "--stepcount=2");
 
-dsm_clustering("pimmler.csv",
-              "-o pimmler5_out.csv",
+dsm_clustering("pimmler.dsm",
+              "-o pimmler5_out.dsm",
               "-m debug",
               "--evaporation=1.5",
               "--inflation=1.5",

common/org.eclipse.escet.common.dsm.app/examples/theme_park/theme_park.tooldef

@@ -13,7 +13,7 @@
 
 from "lib:common" import *;
 
-dsm_clustering("themePark.csv",
+dsm_clustering("theme_park.dsm",
               "-m debug",
               "--evaporation=2",
               "--inflation=1.5",

common/org.eclipse.escet.common.dsm.app/plugin.xml

@@ -30,7 +30,7 @@
             <iterate>
                <adapt type="org.eclipse.core.resources.IFile">
                   <test property="org.eclipse.core.resources.name"
-                        value="*.csv"/>
+                        value="*.dsm"/>
                </adapt>
             </iterate>
             <count value="1"/>

common/org.eclipse.escet.common.dsm.app/src/org/eclipse/escet/common/dsm/app/DsmApplication.java

@@ -82,7 +82,7 @@ public class DsmApplication extends Application<IOutputComponent> {
         inputData.stepCount = DsmStepCountOption.getStepCountValue();
 
         Dsm dsm = flowBasedMarkovClustering(inputData);
-        String outPath = Paths.resolve(OutputFileOption.getDerivedPath(".csv", "_out.csv"));
+        String outPath = Paths.resolve(OutputFileOption.getDerivedPath(".dsm", "_out.dsm"));
 
         try (FileAppStream stream = new FileAppStream(outPath)) {
             Label[] labels = shuffleArray(inputData.labels, dsm.nodeShuffle);