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Everything about Data-flow analysis

Method of analyzing variables in software

Data-flow analysis is a technique for gathering information about the possible set of values calculated at various points in a computer program. It forms the foundation for a wide variety of compiler optimizations and program verification techniques. A program's control-flow graph (CFG) is used to determine those parts of a program to which a particular value assigned to a variable might propagate. The information gathered is often used by compilers when optimizing a program. A canonical example of a data-flow analysis is reaching definitions. Other commonly used data-flow analyses include live variable analysis, available expressions, constant propagation, and very busy expressions, each serving a distinct purpose in compiler optimization passes. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Data-flow analysisA 5-minute orientation
  2. Skim a recent paper: AndroEvolve: automated Android API update with data flow analysis and variable denormalizationInfluential work since 2022
  3. Pick up a classic book: Advances in ComputersThe most-reprinted book on the subject
  4. Read the landmark paper: Automated high-dimensional flow cytometric data analysisCited 337 times
  5. Go sideways: Optimizing compilerA closely related topic
  6. Go sideways: Static single-assignment formA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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