Steps of Transaction Mapping

Step 1: Review the fundamental system model.

To begin with, present the base system model allowing the participants to observe and understand the architecture, sequence, and interactions of its components Thus planing stage of the mapping infrastructure creation gives a short look on the system’s functions and, in a long run, helps to obtain data of transaction mapping.

Step 2: Review and refine data flow diagrams (DFDs) for the software.

DFDs(Data flow Diagrams) which depict the primary processes and interactions of system elements should be studied. Create these diagrams up-to-date so as to show exactly the system logic functioning.

Step 3: Determine whether the DFD has transform or transaction flow characteristics.

Note whether the DFD is representing the transform flows (data processing) or the transaction flows (action triggered by a marker). This becoming possible a developer can track every link between two given data points in the system.

Step 4: Identify the transaction center and the flow characteristics along each action path.

Clearly designate the nodes (action paths) which have transaction tables first and further categorize them as short-term or long-term. Know which data elements trigger data circulation and feed workflows.

Step 5: Map the DFD in a program structure amenable to transaction processing.

Create a programming design from DFD that will be able to process and manage transactions. Defining such building blocks like data validation and storage methods, become important in the process of creating a virtual world.

Step 6: Factor and refine the transaction structure and the structure of each action path.

Streamline the process of authorities in transactions using tree (Patricia tree) for data manipulation, management of consistency and performance. Modify the channel structure of the operational route for each business data processing to guarantee the integrity of the route and eliminate the bottlenecks.

Step 7: Refine the first-iteration architecture using design heuristics for improved software quality.

Improve the initial architecture by incorporating conceptual heuristics, best software practices, quality barometers, etc. Look into issues with modular bits that can be employed again, security and scalability to boost up the general quality of the application.

Transaction mapping has turned out to be a decisive aspect in the Software Engineering arena. It guarantees that the business processes are properly matched, the design does not use too many resources, the data is accurate, the communication between the departments is effective, and there’s room for scaling the business up and testing/validation processes that maintain quality. Here we assume we talk about a development process consisting of a structured chain of steps and let’s imagine that an example of such a process is shopping from the online store. This way, the blocks would be more accurate in transactions, becoming more stable and complete.