A Proposal to Combine Probabilistic Reasoning with Case-Based Retrieval for Software Troubleshooting

Akihiro Shinmori

Analysis of a real case of software troubleshooting made it clear that probabilistic models, or Bayesian networks are suitable for modeling software troubleshooting processes in today’s computing environments. As a way to support software troubleshooting by reusing skillful support engineers’ expertise, I propose to use Bayesian networks and probabilistic reasoning for case-based retrieval. The outline of query reformulation using Bayesian network is presented.

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