Typicalc/README.md

Typicalc

The project is a standard Maven project, so you can import it to your IDE of choice. Read more how to set up a development environment for Vaadin projects (Windows, Linux, macOS).

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Running and debugging the application

Running the application from the command line.

To run from the command line, use mvn and open http://localhost:8080 in your browser.

Running and debugging the application in Intellij IDEA

• Locate the Application.java class in the Project view. It is in the src folder, under the main package's root.
• Right click on the Application class
• Select "Debug 'Application.main()'" from the list

After the application has started, you can view it at http://localhost:8080/ in your browser. You can now also attach break points in code for debugging purposes, by clicking next to a line number in any source file.

Running and debugging the application in Eclipse

• Locate the Application.java class in the Package explorer. It is in src/main/java, under the main package.
• Right click on the file and select Debug As --> Java Application.

Do not worry if the debugger breaks at a SilentExitException. This is a Spring Boot feature and happens on every startup.

After the application has started, you can view your it at http://localhost:8080/ in your browser. You can now also attach break points in code for debugging purposes, by clicking next to a line number in any source file.

Fuzzing with JQF

Zest

Run:

mvn test-compile jqf:fuzz -Dclass=edu.kit.typicalc.model.parser.LambdaParserFuzzTest -Dmethod=testInference

This will use the LambdaTermGenerator to create random lambda terms that are then passed to the ModelImpl.

AFL

First install the necessary JQF tools: https://github.com/rohanpadhye/jqf/wiki/Fuzzing-with-AFL

Remove the @Ignore annotation in LambdaParserFuzzTest and run:

mvn test-compile
jqf-afl-fuzz -c target/test-classes:target/classes -i src/test/resources/terms/ edu.kit.typicalc.model.parser.LambdaParserFuzzTest testLambdaParserAFL

Generated inputs are stored in fuzz-results/queue/. More samples can be added to src/test/resources/terms/ to speed up the process.

Running tests + calculating test coverage

First run the unit tests:

mvn jacoco:prepare-agent test jacoco:report

Then run the application with the JaCoCo agent: (adjust the path to the agent jar)

cp target/typicalc-1.0-SNAPSHOT.jar /tmp
java  -javaagent:jacoco.agent.jar=port=36320,destfile=jacoco-it.exec,output=tcpserver /tmp/typicalc-1.0-SNAPSHOT.jar

To run the integration tests:

mvn integration-test
mvn jacoco:dump@pull-test-data -Dapp.host=localhost -Dapp.port=36320 -Dskip.dump=false

Finally, a code coverage report can be generated:

mvn antrun:run@generate-report -Dskip.int.tests.report=false

JaCoCo execution data of manual tests should be exported to target/jacoco-manual.exec.

Deploying using Docker

To build the Dockerized version of the project, run:

docker build . -t typicalc:latest

Once the Docker image is correctly built, you can run it:

docker run -p 80:8080 typicalc:latest

Deploying using a JAR

First build the application:

mvn clean package -Pproduction

Then run the server:

PORT=80 java -jar target/typicalc-1.0-SNAPSHOT.jar