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Detecting performance issues due to suboptimal code during the developmentprocess can be a daunting task, especially when it comes to localizing themafter noticing performance degradation after deployment. Static analysis hasthe potential to provide early feedback on performance problems to developerswithout having to run profilers with expensive (and often unavailable)performance tests. We develop a VSCode tool that integrates the staticperformance analysis results from Infer via code annotations and decorations(surfacing complexity analysis results in context) and side panel views showingdetails and overviews (enabling explainability of the results). Additionally,we design our system for interactivity to allow for more responsiveness to codechanges as they happen. We evaluate the efficacy of our tool by measuring theoverhead that the static performance analysis integration introduces in thedevelopment workflow. Further, we report on a case study that illustrates howour system can be used to reason about software performance in the context of areal 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

Interactive Static Software Performance Analysis in the IDE