  Formal approaches for automated causality analysis, fault localization,
explanation of events, accountability and blaming have been proposed
independently by several communities --- in particular, AI, concurrency,
model-based diagnosis, formal methods. Work on these topics has significantly
gained speed during the last years. The goals of CREST are to bring together
and foster exchange between researchers from the different communities, and to
present and discuss recent advances and new ideas in the field.
  The workshop program consisted of a set of invited and contributed
presentations that illustrate different techniques for, and applications of,
causality analysis and fault localization.
  The program was anchored by two keynote talks. The keynote by Hana Chockler
(King's College) provided a broad perspective on the application of causal
reasoning based on Halpern and Pearl's definitions of actual causality to a
variety of application domains ranging from formal verification to legal
reasoning. The keynote by Chao Wang (Virginia Tech) concentrated on
constraint-based analysis techniques for debugging and verifying concurrent
programs.
  Workshop papers deal with compositional causality analysis and a wide
spectrum of application for causal reasoning, such as debugging of
probabilistic models, accountability and responsibility, hazard analysis in
practice based on Lewis' counterfactuals, and fault localization and repair.
