As software projects grow increasingly more complex, debloating gains traction. While static analyses yield a coarse over-approximation of reachable code, approaches based on dynamic execution traces risk program correctness. By allowing the developer to reconsider only a few methods and still achieve a significant reduction in code size, cut-based debloating can minimize the risk. In this paper, we propose the idea of finding small cuts in the rule graphs produced by static analysis. After introducing an analysis with suitable semantics, we discuss how to encode its rules into a directed hypergraph. We then present an algorithm for efficiently finding the most effective single cut in the graph. The execution time of the proposed operations allows for the deployment in interactive tools. Finally, we show that our graph model is able to expose methods worthwhile to reconsider.

With the wide adoption of the language server protocol, the desire to have IDE-style tooling even for niche and research languages has exploded. The Truffle language framework facilitates this desire by offering an almost zero-effort approach to language implementers to providing IDE features. However, this existing approach needs to execute the code being worked on to capture much of the information needed for an IDE, ideally with full unit-test coverage.

There are many factors for the success of a new programming language implementation. Existing language implementation frameworks such as Truffle or RPython have focused on run-time performance and security, or on providing a comprehensive set of libraries.

Polyglot programming provides software developers with a broader choice in terms of software libraries and frameworks available for building applications. Previous research and engineering activities have focused on language interoperability and the design and implementation of fast polyglot runtimes. To make polyglot programming more approachable for developers, novel software development tools are needed that help them build polyglot applications. We believe a suitable prototyping platform helps to more quickly evaluate new ideas for such tools. In this paper we present GraalSqueak, a Squeak/Smalltalk virtual machine implementation for the GraalVM. We report our experience implementing GraalSqueak, evaluate the performance of the language and the programming environment, and discuss how the system can be used as a tooling platform for polyglot programming.