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  2. Nassi–Shneiderman diagram - Wikipedia

    en.wikipedia.org/wiki/Nassi–Shneiderman_diagram

    Following a top-down design, the problem at hand is reduced into smaller and smaller subproblems, until only simple statements and control flow constructs remain. Nassi–Shneiderman diagrams reflect this top-down decomposition in a straightforward way, using nested boxes to represent subproblems.

  3. IPO model - Wikipedia

    en.wikipedia.org/wiki/IPO_Model

    The input–process–output (IPO) model, or input-process-output pattern, is a widely used approach in systems analysis and software engineering for describing the structure of an information processing program or other process. Many introductory programming and systems analysis texts introduce this as the most basic structure for describing a ...

  4. Sequential function chart - Wikipedia

    en.wikipedia.org/wiki/Sequential_function_chart

    Sequential function chart (SFC) is a visual programming language used for programmable logic controllers (PLCs). It is one of the five languages defined by IEC 61131-3 standard.

  5. Meta-process modeling - Wikipedia

    en.wikipedia.org/wiki/Meta-Process_Modeling

    A process meta-model is a meta model, "a description at the type level of a process model. A process model is, thus, an instantiation of a process meta-model. [..] A meta-model can be instantiated several times in order to define various process models. A process meta-model is at the meta-type level with respect to a process." [2]

  6. Event-driven process chain - Wikipedia

    en.wikipedia.org/wiki/Event-driven_Process_Chain

    These elements are used in event-driven process chain diagrams: Event Events are passive elements in event-driven process chains. They describe under what circumstances a function or a process works or which state a function or a process results in. Examples of events are "requirement captured", "material in stock", etc.

  7. Run chart - Wikipedia

    en.wikipedia.org/wiki/Run_chart

    Run charts are analyzed to find anomalies in data that suggest shifts in a process over time or special factors that may be influencing the variability of a process. Typical factors considered include unusually long "runs" of data points above or below the average line, the total number of such runs in the data set, and unusually long series of ...

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