  Detecting performance issues due to suboptimal code during the development
process can be a daunting task, especially when it comes to localizing them
after noticing performance degradation after deployment. Static analysis has
the potential to provide early feedback on performance problems to developers
without having to run profilers with expensive (and often unavailable)
performance tests. We develop a VSCode tool that integrates the static
performance analysis results from Infer via code annotations and decorations
(surfacing complexity analysis results in context) and side panel views showing
details and overviews (enabling explainability of the results). Additionally,
we design our system for interactivity to allow for more responsiveness to code
changes as they happen. We evaluate the efficacy of our tool by measuring the
overhead that the static performance analysis integration introduces in the
development workflow. Further, we report on a case study that illustrates how
our system can be used to reason about software performance in the context of a
real performance bug in the ElasticSearch open-source project.
  Demo video: https://www.youtube.com/watch?v=-GqPb_YZMOs Repository:
https://github.com/ipa-lab/vscode-infer-performance
