Er diagram for trading system
Data Flow Diagram DFD provides a visual representation of the flow of information i. By drawing a Data Flow Diagram, you can tell the information supplied by and delivered to someone who take parts in system processes, the information needed in order to complete the processes and the information needed to be stored and accessed. This article describes and explain Data Flow Diagram DFD by using a securities trading platform as an example. The figure below shows a context Data Flow Diagram that is drawn for a security trading platform. It contains a process shape that represents the system to model, in this case, the " securities trading platform ". It also shows the participants who will interact with the system, called the external entities. In this example, CS AssistantCustomer system Broker are the entities who will interact with the system. In between the process and the external entities, there are data flow connectors that indicate the existence of information exchange between the entities and the system. Context DFD is the entrance of a data flow model. It contains one and only one process and does not show any data store. The figure below shows the level 1 DFD, which is the decomposition i. Read through the diagram, and then we for introduce some of the key concepts based on this diagram. The securities trading platform Data Flow Diagram example contains five processes, three external entities and three data stores. Although there is no design guidelines that governs the positioning of shapes in a Data Flow Diagram, we tend to put the processes in the middle and data stores and external entities on the sides to make it easier to comprehend. Based on the diagram, we know that a Customer Service Assistant provides customer details to the Open Account process. The result is the Customer details being stored in Customer data store and Account details being stored in Account data store. Although we said that the attempt to store customer and account details happens after the details are being provided by the Customer Service Assistantthe Data Flow Diagram implies no such thing. It is our common sense that lead us to interpret the diagram in the way that we understand it naturally. Strictly speaking, the diagram only tells us the Open Account process receives customer details and produce customer and account details, with no order specified. Note that Data Flow Diagram does diagram answer in what way and in what order the information is being used throughout a system. If this information is important and worth mentioning, consider to model it with diagrams like BPMN Business Process Diagram or UML Activity Diagram. The process Check Transaction receives Transaction details from diagram Transaction data store and pass it on to Customer. A Customer can Deposit Cash by providing the Deposit amount and the result is the Updated account balance being stored in the Account data store. Similarly, a Customer can Withdraw Cash. The result is that he will receive the Withdrawn amount and the Updated account balance will be stored in the Account data store. Finally, both the Customer and Broker can initiate the Place Order process, which results in the Transaction details being stored in the Transaction data store. The Place Order process also passes the Transaction details to the Stock Exchange Centerwhich is an entity out of the system scope. In the next section, we will introduce a way to represent this kind of entity. Just like the process in context DFD, processes in level 1 DFD can also be decomposed into a deeper level or even levels of process details. The figure below shows the level 2 DFD of the Place Order process. The external entities and data stores in this DFD correspond with those shown in the upper level i. What makes it different is the breakdown of Place Order process into Place Order Online process and Place Order Offline process. Based on this diagram, we know that a Customer can perform Place Order Online by supplying For details while a Broker can perform Place Order Phone also by supplying Order details ; in either case causing Transaction details to be stored in the Transaction data store and passed to the Stock Exchange Center. Stereotype and tagged values are kind of extensibility mechanisms introduced by Object Management Group OMG. It allows designers to extend the vocabulary of UML in order to create new model elements. As a software design tool, Visual Paradigm extends the support of stereotype to system UML standards like DFD and ERD. Take the securities trading platform as example, we can define a stereotype Third Party for external entity. External entities with the stereotype assigned are said to be "a kind of third party entity". In this Data Flow Diagram example the word "details" is used many times when labeling data. We have "customer details", "transaction details", etc. What if we write them explicitly as "customer name, email address, job, address" and "stock number, amount, bid price"? Well, there is no definite answer to this question but try to ask yourself a question when making a decision. Why are you drawing a DFD? In most cases, Data Flow Diagram is drawn in the early phase of system development, where many details are yet to be confirmed. The use of general terminologies like "details", "information", "credential" certainly leave room for discussion. However, using general terms can be kind of lacking details and make the design lost its usefulness. So it really depends on the purpose of your design. In a Data Flow Diagram, we focus on the interactions between the system and external parties, rather than diagram internal communications among interfaces. Therefore, data flows between interfaces and the data stores used are considered to be out of scope and should not be shown in the diagram. Some designers may feel uncomfortable when seeing a connector connecting from a data store to a process, without seeing the step of data request being shown on the diagram somehow. Some of them will try to represent a request by adding a connector between a process and a data store, labeling it "a request" or "request for something", which is wrong. Keep in mind that Data Flow Diagram was designed for representing the exchange of information. Connectors in a Data Flow Diagram are for representing data, not for representing process flow, step or anything else. When we label a data flow that ends at trading data store "a request", this literally means we are passing a request as data into a data store. Although this may be the case in implementation level as some of the DBMS do support the use of functions, which intake some values as parameters and return a result, in Data Flow Diagram we tend to treat data store as a sole data holder that does not possess any processing capability. If you want to model the system flow or process flow, use UML Activity Diagram or BPMN Business Process Diagram instead. If you want to model the internal structure of data store, use Entity Relationship Diagram. Teaching with Visual Paradigm VP is a pleasure. It is easy-to-use, it is intuitive, and above all it does not get in the way of conveying the semantics trading object oriented modeling. Data Flow Diagram with Examples - Securities Trading Platform. Jump to Menu Data Flow Diagram with Examples - Securities Trading Platform. Enterprise, Professional, Standard, Modeler. February 16, Views: The Securities Trading Platform Example Context DFD The figure below shows a context Data Flow Diagram that is drawn for a security trading platform. Level 1 DFD The figure below shows the level 1 DFD, which is the decomposition i. Level 2 DFD Just like the process in context Diagram, processes in level 1 DFD can also be decomposed into a deeper level or even levels of process details. Using stereotype for modeling a "special kind of" entity Stereotype and tagged values are kind of extensibility mechanisms introduced by Object Management Group OMG. Be aware of the level of details In this Data Flow Diagram example the word "details" is used many times when labeling data. Don't overdrawn In a Data Flow Diagram, we focus on the interactions between the system and external parties, rather than the internal communications among interfaces. 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