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- W2154773173 abstract "The DDP (Demand-driven/Pruning) analysis algorithm allows us to perform data-flow analyses of programming languages that are dynamically typed and have higher-order control flow, such as Smalltalk or Scheme. Because it is demand-driven and employs search pruning, it scales to large code bases. However, versions of the algorithm previously described [19] do not handle data polymorphism well, conservatively merging separate data flows that go through distinct instantiations of a collection type. In this paper, we describe a new extension to DDP that helps to disentangle these flows, permitting more precise results. The extension is based on source-tagging classes so that each reference to a class in the source code yields a subdivision of the type associated with that class. An initial implementation of this polyvariant analysis has been added to the DDP-based tool Chuck, a part of the integrated Squeak program-development environment; we show examples of the tool in action." @default.
- W2154773173 created "2016-06-24" @default.
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- W2154773173 date "2005-01-01" @default.
- W2154773173 modified "2023-10-18" @default.
- W2154773173 title "Dynamic data polyvariance using source-tagged classes" @default.
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- W2154773173 doi "https://doi.org/10.1145/1146841.1146845" @default.
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