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Type Inference Against Races

  • Conference paper
Static Analysis (SAS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3148))

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Abstract

The race condition checker rccjava uses a formal type system to statically identify potential race conditions in concurrent Java programs, but it requires programmer-supplied type annotations. This paper describes a type inference algorithm for rccjava. Due to the interaction of parameterized classes and dependent types, this type inference problem is NP-complete. This complexity result motivates our new approach to type inference, which is via reduction to propositional satisfiability. This paper describes our type inference algorithm and its performance on programs of up to 30,000 lines of code.

This work was supported in part by the National Science Foundation under Grants CCR-0341179 and CCR-0341387.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, University of California at Santa Cruz, Santa Cruz, CA, 95064

    Cormac Flanagan

  2. Dept. of Computer Science, Williams College, Williamstown, MA, 01267

    Stephen N. Freund

Authors
  1. Cormac Flanagan
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  2. Stephen N. Freund
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica, Università di Verona, Strada Le Grazie, 15, 37134, Verona, Italy

    Roberto Giacobazzi

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© 2004 Springer-Verlag Berlin Heidelberg

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Flanagan, C., Freund, S.N. (2004). Type Inference Against Races. In: Giacobazzi, R. (eds) Static Analysis. SAS 2004. Lecture Notes in Computer Science, vol 3148. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27864-1_11

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  • DOI: https://doi.org/10.1007/978-3-540-27864-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22791-5

  • Online ISBN: 978-3-540-27864-1

  • eBook Packages: Springer Book Archive

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