Issue tracking systems are commonly used in modern software development for
collecting feedback from users and developers. An ultimate automation target of
software maintenance is then the systematization of patch generation for
user-reported bugs. Although this ambition is aligned with the momentum of
automated program repair, the literature has, so far, mostly focused on
generate-and-validate setups where fault localization and patch generation are
driven by a well-defined test suite. On the one hand, however, the common (yet
strong) assumption on the existence of relevant test cases does not hold in
practice for most development settings: many bugs are reported without the
available test suite being able to reveal them. On the other hand, for many
projects, the number of bug reports generally outstrips the resources available
to triage them. Towards increasing the adoption of patch generation tools by
practitioners, we investigate a new repair pipeline, iFixR, driven by bug
reports: (1) bug reports are fed to an IR-based fault localizer; (2) patches
are generated from fix patterns and validated via regression testing; (3) a
prioritized list of generated patches is proposed to developers. We evaluate
iFixR on the Defects4J dataset, which we enriched (i.e., faults are linked to
bug reports) and carefully-reorganized (i.e., the timeline of test-cases is
naturally split). iFixR generates genuine/plausible patches for 21/44 Defects4J
faults with its IR-based fault localizer. iFixR accurately places a
genuine/plausible patch among its top-5 recommendation for 8/13 of these faults
(without using future test cases in generation-and-validation).

该文研究了通过使用基于 IR 的故障定位器从漏报的 Bug 报告中生成修补程序的新修补程序生成管道 iFixR，并利用修复模式和回归测试生成和验证修补程序，最终以生成的修补程序的优先级列表提示开发人员的方法来表征 Ultimate Automation Target of Software Maintenance。