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Existing what-if analysis systems are predominantly tailored to operate oneither only the application layer or only the database layer of software. Thisisolated approach limits their effectiveness in scenarios where intensiveinteraction between applications and database systems occurs. To address thisgap, we introduce Ultraverse, a what-if analysis framework that seamlesslyintegrates both application and database layers. Ultraverse employs dynamicsymbolic execution to effectively translate application code into compact SQLprocedure representations, thereby synchronizing application semantics at bothSQL and application levels during what-if replays. A novel aspect of Ultraverseis its use of advanced query dependency analysis, which serves two keypurposes: (1) it eliminates the need to replay irrelevant transactions that donot influence the outcome, and (2) it facilitates parallel replay of mutuallyindependent transactions, significantly enhancing the analysis efficiency.Ultraverse is applicable to existing unmodified database systems and legacyapplication codes. Our extensive evaluations of the framework have demonstratedremarkable improvements in what-if analysis speed, achieving performance gainsranging from 7.7x to 291x across diverse benchmarks.

Ultraverse: A System-Centric Framework for Efficient What-If Analysis for Database-Intensive Web Applications