Structured English Examples

Transcription

1 Logic Modeling Logic and timing are not represented on data flow diagrams or entity-relationship diagrams Processes contain logic - what happens under what conditions Logic is modeled per process Types of logic: sequence, conditions, iteration

2 Structured English Uses a subset of English Uses indentation similar to programming Uses process-type verbs like READ, WRITE, GENERATE, CHECK, PRINT Verbs and control words in CAPS Refers to the data coming in and out of the process No specific syntax rules

3 Structured English Examples READ Inventory records WHILE NOT End-of-file DO BEGIN IF IF Quantity-in-stock is less than Minimum-order-quantity THEN GENERATE new order ELSE DO nothing END IF END DO READ next prescription SELECT CASE CASE (prescription for formulated drug) DO send to lab station CASE (prescription for off-the-shelf drug) DO send to shelving station CASE (prescription for narcotic drug) DO send to secure station END CASE

4 Decision Tables Conditions/ Rules Courses of Action Employee type S H H H Hours worked - <40 40 >40 Pay base salary X Calculate hourly wage X X X Calculate overtime X Produce absence report X

5 Decision Trees Pay base salary 1 Salaried Hourly <40 Calculate hourly wage; Produce absence report 2 40 >40 Calculate hourly wage Legend 1) Type of employee 2) Hours worked Calculate hourly wage; Calculate overtime wage

6 Network Models Network Decomposition Diagram hubs - places where data is stored or processing is done for users at some other location workstations - places where a user physically sits and can access the system remotely Hub Connectivity Diagrams simply says what hubs and external networks have to exchange data

7 Network Decomposition Diagram System Hub Hub Hub External Network Workstation Workstation Set of Workstation Workstation Workstations Workstation

8 Hub Connectivity Diagram Hub 35 miles 50 feet Hub Hub 3000 miles External Network

9 Simple Example Customer Ordering System Server Credit Verification Service Server 200 miles Credit Verification Service System Administrator Order Takers

10 - Includes: Data Dictionary - descriptions of all pieces of data - relationships between pieces of data - Purposes - eliminate ambiguities - identify links between DFDs and ERD - clarify how different pieces of data are related - serves as a standard reference throughout the project - specify what is contained in data stores and flows

11 What needs to be defined Data flows Entities Data stores Relationships are collections of Data elements correspond to are collections of Attributes

12 Basic parts of a definition Name (that appears on the diagram) Type (data flow, data store, entity, etc.) Description (text) Synonyms (other names used for same thing) What it contains What it is contained in Constraints/data type

13 Data Flow Definition Name (that appears on the diagram) Type = data flow Description (text) Synonyms What it contains - list of data elements; lowerlevel data flows What it is contained in - data flow in higher-level diagram Constraints - source and destination

14 Example Data Flow Definition Name: Customer Record Type: data flow Description: The customer information that needs to be stored in the customer DB Synonyms: none What it contains: data elements: customer ID customer name customer address customer phone lower-level data flows: none What it is contained in: none Constraints: Source: Process 5, Create Customer Record Destination: Data Store D3, Customer Master

15 Data Store Definition Name (that appears on the diagram, including ID) Type = data store Description (text) Synonyms What it contains - list of data elements What it is contained in - n/a Constraints - physical form, if known

16 Example Data Store Definition Name: Customer Master Type: data store Description: Information on all customers who have provided this information when placing an order Synonyms: none What it contains: data elements: customer ID customer name customer address customer phone What it is contained in: n/a Constraints: form is a database table

17 Data Element Definition Name (does not appear on the diagram) Type = data element Description (text) Synonyms (other data elements and attributes) What it contains - n/a What it is contained in (data stores and data flows) Constraints (format, length, valid values)

18 Example Data Element Definition Name: customer name Type: data element Description: The last name of a customer who has at one time placed an order Synonyms: attribute Customer.name What it contains: n/a What it is contained in: data flow Customer Record; data store Customer Master Constraints: must be a character string with maximum length 15

19 Entity Definition Name (that appears on the diagram) Type = entity Description (text) Synonyms What it contains (attributes) What it is contained in - n/a Constraints (identifier)

20 Example Entity Definition Name: Customer Type: entity Description: Any individual who has at one time placed an order and purchased goods Synonyms: none What it contains: attributes Customer_ID, Name, Address, Phone What it is contained in: n/a Constraints: Customer_ID must be unique

21 Relationship Definition Name (that appears on the diagram) Type = relationship Description (text) Synonyms What it contains (attributes, including key attributes of participating entities) What it is contained in - n/a Constraints (cardinality, degree, operational constraints)

22 Example Relationship ERD DFD Name Customer_ID CUSTOMER Phone Address 8 Charge Customer Purchase Customer Information owner type Has Account Information Purchase Information ACCOUNT account number balance D5 Customer Accounts

23 Example Relationship Definition Name: Has Type: relationship Description: Associates individual customers with the credit accounts they have with this business, that they can use to purchase goods Synonyms: data store D5, Customer Accounts What it contains: attributes Customer.Customer_ID, Account.account_number, owner_type What it is contained in: n/a Constraints: binary; many-to-one; mandatory for accounts, but not customers

24 Attribute Definition Name (that appears on the diagram) Type = attribute Description (text) Synonyms (other attributes and data elements ) What it contains - n/a What it is contained in (entities and relationships) Constraints (format, length, valid values)

25 Example Attribute Definition Name: Name Type: attribute Description: The last name of a customer who has at one time placed an order Synonyms: data element customer_name What it contains: none What it is contained in: entity Customer Constraints: must be a character string with maximum length 15