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Awesome GitHub RepositoriesData Dependency Analysis

Analyzing how data flows through a program to identify inputs that influence specific outputs.

Distinct from Inter-procedural Data Flow: Focuses on analyzing dependencies for program behavior rather than just inter-procedural taint tracking.

Explore 3 awesome GitHub repositories matching web development · Data Dependency Analysis. Refine with filters or upvote what's useful.

Awesome Data Dependency Analysis GitHub Repositories

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  • angr/angrangr 的头像

    angr/angr

    8,898在 GitHub 上查看↗

    Angr is a binary analysis framework and static analysis tool used for reverse engineering compiled binaries. It serves as a binary decompiler and a lifting platform that translates machine code into a common intermediate representation to enable cross-architecture analysis. The framework integrates a symbolic execution engine and constraint solvers to determine the inputs required to reach specific program states. It also employs untrusted code sandboxing to isolate guest code from the host environment during analysis. Its capabilities cover control flow and data flow analysis, including the

    Identifies data dependencies to determine how specific inputs influence program outputs and internal behaviors.

    Python
    在 GitHub 上查看↗8,898
  • day8/re-frameday8 的头像

    day8/re-frame

    5,532在 GitHub 上查看↗

    re-frame is a functional framework for building single-page applications in ClojureScript. It provides a centralized, immutable database that serves as the single source of truth for the entire application state, enforcing a strict unidirectional data flow where events trigger state transitions and subsequent view updates. The framework distinguishes itself through a reactive signal graph and an interceptor-based middleware pipeline. By treating application logic as a sequence of data-driven events and declarative side effects, it decouples business logic from the view layer. This architectur

    Links data transformation nodes into dependency graphs to ensure downstream calculations execute after upstream updates.

    Clojureclojurescriptre-framereact
    在 GitHub 上查看↗5,532
  • tiramisu-compiler/tiramisuTiramisu-Compiler 的头像

    Tiramisu-Compiler/tiramisu

    960在 GitHub 上查看↗

    Tiramisu is a polyhedral C++ compiler framework designed to express and optimize data-parallel algorithms for diverse hardware accelerators. It provides a programming interface that allows developers to define mathematical expressions, manage loop iteration spaces, and organize functions targeting heterogeneous architectures. The system features an advanced compilation infrastructure that abstracts computations into a hardware-agnostic intermediate representation before lowering them into native machine code or hardware configuration bitstreams. It calculates exact data flow dependencies thro

    Calculates exact data flow dependencies between array accesses to guarantee safety during automated loop restructuring.

    C++code-generationcompilerdeep-neural-networks
    在 GitHub 上查看↗960
  1. Home
  2. Web Development
  3. Data Flow Architectures
  4. Taint Analysis Engines
  5. Inter-procedural Data Flow
  6. Data Dependency Analysis

探索子标签

  • Dependent Flow CompositionLinks multiple data transformation nodes together into a dependency graph so that downstream calculations execute only after upstream inputs are updated. **Distinct from Data Dependency Analysis:** Distinct from Data Dependency Analysis: focuses on the composition of transformation flows, rather than analysis of data dependencies.
  • Polyhedral Dependence AnalysesCalculates exact data flow dependencies between array accesses to guarantee safety during automated loop restructuring. **Distinct from Data Dependency Analysis:** Distinct from general data dependency analysis: calculates exact data flow dependencies using polyhedral analysis for safe loop restructuring.