A Systematic Approach to Abstract Interpretation of Program Transformations
Abstract interpretation is a technique to define sound static analyses. While abstract interpretation is generally well-understood, the analysis of program transformations has not seen much attention. The main challenge in developing an abstract interpreter for program transformations is designing good abstractions that capture relevant information about the generated code. However, a complete abstract interpreter must handle many other aspects of the transformation language, such as backtracking and generic traversals, as well as analysis-specific concerns, such as interprocedurality and fixpoints. This deflects attention.
We propose a systematic approach to design and implement abstract interpreters for program transformations that isolates the abstraction for generated code from other analysis aspects. Using our approach, analysis developers can focus on the design of abstractions for generated code, while the rest of the analysis definition can be reused. We show that our approach is feasible and useful by developing three novel inter-procedural analyses for the Stratego transformation language: a singleton analysis for constant propagation, a sort analysis for type checking, and a locally-illsorted sort analysis that can additionally validate type changing generic traversals.
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Harnessing Static Analysis to Help Learn Pseudo-Inverses of String Manipulating Procedures for Automatic Test Generation