English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Leveraging concepts from state machine refinement proofs, we use prophecyvariables, which predict information about the future program execution, toenable forward reasoning for backward dataflow analyses. Drawing prophecy andhistory variables (concepts from the dynamic execution of the program) from thesame lattice as the static program analysis results, we require the analysisresults to satisfy both the dataflow equations and the transition relations inthe operational semantics of underlying programming language. This approacheliminates explicit abstraction and concretization functions and promotes amore direct connection between the analysis and program executions, with theconnection taking the form of a bisimulation relation between concreteexecutions and an augmented operational semantics over the analysis results. Wepresent several classical dataflow analyses with this approach (live variables,very busy expressions, defined variables, and reaching definitions) along withproofs that highlight how this approach can enable more streamlined reasoning.To the best of our knowledge, we are the first to use prophecy variables fordataflow analysis.

Dataflow Analysis With Prophecy and History Variables