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  1. Two such data oriented testing strategies are proposed; the first involves checking liveness of every definition of a variable at the point(s) of its possible use; the second deals with liveness of vectors of variables treated as arguments to an instruction or program block.

    • J.W. Laski, B. Korel
    • 1983
  2. AData Flow Oriented Program Testing Strategy JANUSZW. LASKIANDBOGDANKOREL Abstract-Some properties of a program data flow can be used to guide program testing. The presented approach aims to exercise use-definition chains that appear in the program. Twosuch dataoriented testing strategies are proposed; the first involves checking liveness of

    • What Is Data Flow Testing?
    • Types of Data Flow Testing
    • Advantages of Data Flow Testing
    • Disadvantages of Data Flow Testing
    • Conclusion

    Data Flow Testing is a type of structural testing . It is a method that is used to find the test paths of a program according to the locations of definitions and uses of variables in the program. It has nothing to do with data flow diagrams. Furthermore, it is concerned with: 1. Statements where variables receive values, 2. Statements where these v...

    Testing for All-Du-Paths: It Focuses on “All Definition-Use Paths. All-Du-Paths is an acronym for “All Definition-Use Paths.” Using this technique, every possible path from a variable’s definition...
    All-Du-Path Predicate Node Testing: This technique focuses on predicate nodes, or decision points, in the control flow graph.
    All-Uses Testing: This type of testing checks every place a variable is used in the application.
    All-Defs Testing: This type of testing examines every place a variable is specified within the application’s code.

    Data Flow Testing is used to find the following issues- 1. To find a variable that is used but never defined, 2. To find a variable that is defined but never used, 3. To find a variable that is defined multiple times before it is use, 4. Deallocating a variable before it is used.

    Time consuming and costly process
    Requires knowledge of programming languages

    Data Flow Testing effectively identifies issues related to variable definitions and usages, such as unused variables or multiple definitions before use. While it provides valuable insights into variable handling, it can be time-consuming and requires a good understanding of programming. Overall, it helps improve code quality by addressing potential...

  3. Two such data oriented testing strategies are proposed; the first involves checking liveness of every definition of a variable at the point (s) of its possible use; the second deals with liveness of vectors of variables treated as arguments to an instruction or program block.

    • J.W. Laski, B. Korel
    • 1983
  4. This paper describes a new approach to performing data flow testing on programs that use pointer variables and a tool based on this approach, based on the observation that which dereferenced pointers are aliased whenever control reaches a given program point via a particular path.

  5. Mar 10, 2017 · This survey presents a detailed overview of data-flow testing, including challenges and approaches in enforcing and automating it: (1) it introduces the data-flow analysis techniques that are used to identify def-use pairs; (2) it classifies and discusses techniques for data-flow-based test data generation, such as search-based testing, random ...

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  7. Mar 10, 2017 · This survey presents a detailed overview of data-flow testing, including challenges and approaches in enforcing and automating it: (1) it introduces the data-flow analysis techniques that...

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