  We describe the integration of logical and uncertain reasoning methods to
identify the likely source and location of software problems. To date, software
engineers have had few tools for identifying the sources of error in complex
software packages. We describe a method for diagnosing software problems
through combining logical and uncertain reasoning analyses. Our preliminary
results suggest that such methods can be of value in directing the attention of
software engineers to paths of an algorithm that have the highest likelihood of
harboring a programming error.
