It's Doomed; We Can Prove It

  • Authors:
  • Jochen Hoenicke;K. Rustan Leino;Andreas Podelski;Martin Schäf;Thomas Wies

  • Affiliations:
  • University of Freiburg,;Microsoft Research, Redmond;University of Freiburg,;University of Freiburg,;University of Freiburg, and EPFL, Switzerland

  • Venue:
  • FM '09 Proceedings of the 2nd World Congress on Formal Methods
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Programming errors found early are the cheapest. Tools applying to the early stage of code development exist but either they suffer from false positives ("noise") or they 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, in whatever state it is started. We use a formal verification method to identify such errors fully automatically and, most significantly, without producing noise. We report on preliminary experiments with a prototype tool.