abstract = "We revisit the performance of template-based APR to
build comprehensive knowledge about the effectiveness
of fix patterns, and to highlight the importance of
complementary steps such as fault localization or donor
code retrieval. To that end, we first investigate the
literature to collect, summarize and label
recurrently-used fix patterns. Based on the
investigation, we build TBar, a straightforward APR
tool that systematically attempts to apply these fix
patterns to program bugs. We thoroughly evaluate TBar
on the Defects4J benchmark. In particular, we assess
the actual qualitative and quantitative diversity of
fix patterns, as well as their effectiveness in
yielding plausible or correct patches. Eventually, we
find that, assuming a perfect fault localization, TBar
correctly/plausibly fixes 74/101 bugs. Replicating a
standard and practical pipeline of APR assessment, we
demonstrate that TBar correctly fixes 43 bugs from
Defects4J, an unprecedented performance in the
literature (including all approaches, i.e.,
template-based, stochastic mutation-based or
synthesis-based APR).",