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Typechecking Java Protocols with [St]Mungo

Authors: A. Laura Voinea; Ornela Dardha; Simon J. Gay;

Typechecking Java Protocols with [St]Mungo

Abstract

This is a tutorial paper on [St]Mungo, a toolchain based on multiparty session types and their connection to typestates for safe distributed programming in Java language. The StMungo (“Scribble-to-Mungo”) tool is a bridge between multiparty session types and typestates. StMungo translates a communication protocol, namely a sequence of sends and receives of messages, given as a multiparty session type in the Scribble language, into a typestate specification and a Java API skeleton. The generated API skeleton is then further extended with the necessary logic, and finally typechecked by Mungo. The Mungo tool extends Java with (optional) typestate specifications. A typestate is a state machine specifying a Java object protocol, namely the permitted sequence of method calls of that object. Mungo statically typechecks that method calls follow the object’s protocol, as defined by its typestate specification. Finally, if no errors are reported, the code is compiled with javac and run as standard Java code. In this tutorial paper we give an overview of the stages of the [St]Mungo toolchain, starting from Scribble communication protocols, translating to Java classes with typestates, and finally to typechecking method calls with Mungo. We illustrate the [St]Mungo toolchain via a real-world case study, the HTTP client-server request-response protocol over TCP. During the tutorial session, we will apply [St]Mungo to a range of examples having increasing complexity, with HTTP being one of them.

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Keywords

[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Multiparty session types, Mungo, StMungo, Typestate, [INFO] Computer Science [cs], HTTP protocol, Article

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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
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