diff --git a/src/main/java/org/gcube/dataanalysis/executor/tests/TestKnitrCompiler.java b/src/main/java/org/gcube/dataanalysis/executor/tests/TestKnitrCompiler.java
new file mode 100644
index 0000000..0a34198
--- /dev/null
+++ b/src/main/java/org/gcube/dataanalysis/executor/tests/TestKnitrCompiler.java
@@ -0,0 +1,44 @@
+package org.gcube.dataanalysis.executor.tests;
+
+import java.util.List;
+
+import org.gcube.contentmanagement.lexicalmatcher.utils.AnalysisLogger;
+import org.gcube.dataanalysis.ecoengine.configuration.AlgorithmConfiguration;
+import org.gcube.dataanalysis.ecoengine.datatypes.PrimitiveType;
+import org.gcube.dataanalysis.ecoengine.datatypes.StatisticalType;
+import org.gcube.dataanalysis.ecoengine.interfaces.ComputationalAgent;
+import org.gcube.dataanalysis.ecoengine.processing.factories.TransducerersFactory;
+import org.gcube.dataanalysis.ecoengine.test.regression.Regressor;
+
+public class TestKnitrCompiler {
+
+	public static void main(String[] args) throws Exception {
+		
+		// setup the configuration
+		AlgorithmConfiguration config = new AlgorithmConfiguration();
+		// set the path to the cfg folder and to the PARALLEL_PROCESSING folder
+		config.setConfigPath("./cfg/");
+		config.setPersistencePath("./PARALLEL_PROCESSING");
+		AnalysisLogger.setLogger(config.getConfigPath()+AlgorithmConfiguration.defaultLoggerFile);
+		//set the scope and the user (optional for this test)
+		config.setGcubeScope( "/gcube/devsec/devVRE");
+		config.setParam("ServiceUserName", "test.user");
+		config.setParam("zipfile", "C:/Users/coro/Desktop/WorkFolder/Workspace/EcologicalEngineSmartExecutor/cfg/knitr_test_julien_wfs.zip");
+		config.setParam("file.inout", "test_julien_zip");
+		
+		//set the name of the algorithm to call, as is is in the transducerer.properties file
+		config.setAgent("KNITR_COMPILER");
+			
+		//recall the transducerer with the above name 
+		List<ComputationalAgent> transducers = TransducerersFactory.getTransducerers(config);
+		ComputationalAgent transducer =transducers.get(0);
+		//init the transducerer
+		transducer.init();
+		//start the process
+		Regressor.process(transducer);
+		//retrieve the output
+		StatisticalType st = transducer.getOutput();
+		System.out.println("st:"+((PrimitiveType)st).getContent());
+	}
+	
+}