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Doomed program points

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Abstract

Any programming error that can be revealed before compiling a program saves precious time for the programmer. While integrated development environments already do a good job by detecting, e.g., data-flow abnormalities, current static analysis tools suffer from false positives (“noise”) or require strong user interaction.

We propose to avoid this deficiency by defining a new class of errors. A program fragment is doomed if its execution will inevitably fail, regardless of which state it is started in. We use a formal verification method to identify such errors fully automatically and, most significantly, without producing noise. We report on experiments with a prototype tool.

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Authors and Affiliations

  1. University of Freiburg, Freiburg im Breisgau, Germany

    Jochen Hoenicke, Andreas Podelski & Martin Schäf

  2. Microsoft Research, Redmond, WA, USA

    K. Rustan M. Leino

  3. Institute of Science and Technology, Klosterneuburg, Austria

    Thomas Wies

Authors
  1. Jochen Hoenicke
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  2. K. Rustan M. Leino
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  3. Andreas Podelski
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  4. Martin Schäf
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  5. Thomas Wies
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Corresponding author

Correspondence to Thomas Wies.

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Hoenicke, J., Leino, K.R.M., Podelski, A. et al. Doomed program points. Form Methods Syst Des 37, 171–199 (2010). https://doi.org/10.1007/s10703-010-0102-0

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