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Behavioral up/down casting for statically typed languages (Tool artifact)

Authors: Bacchiani, Lorenzo; Bravetti, Mario; Giunti, Marco; Mota, João; Ravara, António;

Behavioral up/down casting for statically typed languages (Tool artifact)

Abstract

Software requirements * Docker * GNU Bash Getting Started * Open Docker Desktop with your GUI: this will launch the daemon. * Open a shell. Shell instructions 1. Import the image provided into docker: * `docker load -i behavioral-casting-tool.tar` 2. Run the docker image: * `docker run -it behavioral-casting-tool:latest` 3. A prompt of the form `root@8de54d614a6d:/tool/example#` should be opened. Now run: * `./run.sh` Expected output The tool verifies all the Java code in the folder `/tool/example`, including the main classes `ClientCode` and `WrongClientCode`. The `ClientCode.java` file contains well-behaved code (as presented in the paper), so no error should be reported on it. The `WrongClientCode.java` file contains ill-behaved code, so errors should be reported on it. In summary, the expected tool output for the given example is the following: ``` WrongClientCode.java:9: error: [suv] did not complete its protocol (found: State{SUV, COMF_ON}) public static void example2() { // The tool should report an error here about protocol completion ^ WrongClientCode.java:6: error: Cannot call [switchMode] on State{SUV, OFF} f.switchMode(); // The tool should report an error here about protocol compliance ^ 2 errors ```

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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