  A major problem with user-written bug reports, indicated by developers and
documented by researchers, is the (lack of high) quality of the reported steps
to reproduce the bugs. Low-quality steps to reproduce lead to excessive manual
effort spent on bug triage and resolution. This paper proposes Euler, an
approach that automatically identifies and assesses the quality of the steps to
reproduce in a bug report, providing feedback to the reporters, which they can
use to improve the bug report. The feedback provided by Euler was assessed by
external evaluators and the results indicate that Euler correctly identified
98% of the existing steps to reproduce and 58% of the missing ones, while 73%
of its quality annotations are correct.
