A Simulated Annealing Inspired Test Optimization Method for Enhanced Detection of Highly Critical Faults and Defects

  • Authors:
  • Yiwen Shi;Jennifer Dworak

  • Affiliations:
  • Oracle Corporation, Santa Clara, USA;Southern Methodist University, Dallas, USA

  • Venue:
  • Journal of Electronic Testing: Theory and Applications
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

When testing resources are severely limited, special attention should be paid to critical faults/defects so that important or frequent field failures arising from test escapes can be minimized. We present a new algorithm to optimize test sets aimed at significantly reducing the criticality of test escapes--especially for very short test sets that may be applied in the field. The algorithm proposes an exponential-based test set quality model to evaluate the criticality of potential undetected defects and develops a programming model to search for a test set that effectively reduces this criticality.