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Reverse Coverage Analysis

  • Ariel Birnbaum
  • Laurent Fournier
  • Steve Mittermaier
  • Avi Ziv
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7261)

Abstract

Commonly used approaches for accumulating coverage data do not properly track events that have been covered in the past but not recently (stale events). They either treat stale events as covered events (global approach) or as uncovered events (window approach). We propose a new approach called reverse coverage analysis that is based on tracking the last time each coverage event was hit and looking at the coverage data backward in time from the present. With this approach, we can easily identify stale events and when the ability to cover them was lost. The reverse coverage approach was successfully used in the verification of two high-end IBM microprocessors and improved treatment of stale events and their causes.

Keywords

Coverage Data Coverage Model Coverage Analysis Covered Event Coverage Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ariel Birnbaum
    • 1
  • Laurent Fournier
    • 1
  • Steve Mittermaier
    • 2
  • Avi Ziv
    • 1
  1. 1.IBM Research - HaifaIsrael
  2. 2.IBM Server and Technology GroupPoughkeepsieUSA

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