  Automated Program Repair (APR) techniques typically exploit spectrum-based
fault localization (SBFL) to identify the program locations that should be
patched, making the effectiveness of APR techniques dependent on the
effectiveness of fault localization. Indeed, results show that SBFL often does
not localize faults accurately, hindering the effectiveness of APR. In this
paper, we propose EXCEPT, a technique that addresses the localization problem
by focusing on the semantics of failures rather than on the correlation between
the executed statements and the failed tests, as SBFL does. We focus on
failures due to exceptions and we exploit their type and source to localize and
guess the faults. Experiments with 43 exception-raising faults from the
Defects4J benchmark show that EXCEPT can perform better than Ochiai and ssFix.
