DFDs are process diagrams that emphasize the data consumed, …

DFDs are process diagrams that emphasize the data consumed, produced, and stored by processes under discussion. Complex processes are decomposed into their constituent elements to reveal the most elemental sub-processes and their use of data atoms. In a 2- to 3-page paper, describe process decomposition and flow balancing so that non-technical participating stakeholders can understand the notation of the DFD and the requirements specification value it contains. Your goal is to ensure that your stakeholders can help you validate your DFD. Include a title page and reference page. Make sure your paper follows APA style according to the . Use two CSU-Global Library resources and/or outside, credible academic sources other than the textbook, course materials, or other information provided as part of the course materials. You may not use Wikipedia for any CSU-Global assignment. For this assignment, a credible source is defined as: Purchase the answer to view it

Process decomposition and flow balancing are key concepts in the field of data flow diagrams (DFDs), which are process diagrams that highlight the data consumed, produced, and stored by processes involved in a system. These concepts are essential for understanding the notation of DFDs and the value they bring to requirements specification. This paper aims to explain process decomposition and flow balancing in a way that non-technical stakeholders can comprehend and effectively validate DFDs.

Process decomposition involves breaking down complex processes into smaller, more manageable sub-processes. The purpose of this decomposition is to reveal the most elemental sub-processes and their interconnections. By decomposing a process, we can understand its underlying structure and identify the specific data atoms that are used within each sub-process. These data atoms represent small units of information that flow between processes, providing a clear understanding of how data is transformed and manipulated within the system.

The process decomposition in DFDs is represented using levels and bubbles. Levels indicate the hierarchy of the processes, with the highest level representing the most complex process and each subsequent level representing a more detailed breakdown of the processes within. Bubbles represent the individual processes and their interactions. Each bubble is labeled with a name that describes the specific process it represents. By visually representing the decomposition using levels and bubbles, stakeholders can easily grasp the structure and complexity of the system.

Flow balancing is another important aspect of DFDs that ensures the consistency and integrity of data flow within the system. It involves ensuring that the inputs and outputs of processes are in balance, meaning that the data consumed by a process must be equal to the data produced. This helps in validating the DFD and ensuring that the system functions as intended.

To achieve flow balancing, we must carefully analyze the inputs and outputs of each process. Inputs can be external data sources, such as user inputs or data from other systems, while outputs can be artifacts produced by the process, such as reports or updated databases. By comparing the inputs and outputs, we can identify any discrepancies and make adjustments to ensure that flow balancing is maintained.

In summary, process decomposition and flow balancing are fundamental concepts in DFDs that aid in understanding the structure and behavior of a system. Process decomposition breaks down complex processes into smaller sub-processes, while flow balancing ensures that data consumed and produced by processes are in balance. By comprehending these concepts, stakeholders can effectively validate DFDs and contribute to the requirements specification process.