Logic Modeling Logic and timing are not represented on data flow diagrams or entity-relationship diagrams Processes contain logic - what happens under.

Slides:



Advertisements
Similar presentations
DFD Examples Yong Choi BPA CSUB.
Advertisements

Entity-Relationship (ER) Modeling
Data Flow Diagramming Rules Processes –a process must have at least one input –a process must have at least one output –a process name (except for the.
Describing Process Specifications and Structured Decisions Systems Analysis and Design, 7e Kendall & Kendall 9 © 2008 Pearson Prentice Hall.
PowerPoint Presentation for Dennis & Haley Wixom, Systems Analysis and Design, 2 nd Edition Copyright 2003 © John Wiley & Sons, Inc. All rights reserved.
Chapter 4 Enterprise Modeling.
Data Dictionary What does “Backordered item” mean? What does “New Customer info.” contain? How does the “account receivable report” look like?
3/5/2009Computer systems1 Analyzing System Using Data Dictionaries Computer System: 1. Data Dictionary 2. Data Dictionary Categories 3. Creating Data Dictionary.
SYSTEM ANALYSIS & DESIGN (DCT 2013)
Systems Analysis and Design 9th Edition
Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall Process Specifications and Structured Decisions Systems Analysis and Design, 8e Kendall.
MIS 210 Fall 2004Sylnovie Merchant, Ph. D. Lecture 4: Data Modeling Process Modeling MIS 210 Information Systems I.
Chapter 9 Describing Process Specifications and Structured Decisions
Systems Analysis Requirements structuring Process Modeling Logic Modeling Data Modeling  Represents the contents and structure of the DFD’s data flows.
PROCESS MODELING Transform Description. A model is a representation of reality. Just as a picture is worth a thousand words, most models are pictorial.
Entity Relationship Diagrams
Kendall & KendallCopyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall 9 Kendall & Kendall Systems Analysis and Design, 9e Process Specifications.
Kendall & KendallCopyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall 9 Kendall & Kendall Systems Analysis and Design, 9e Process Specifications.
System Analysis Overview Document functional requirements by creating models Two concepts help identify functional requirements in the traditional approach.
The Traditional Approach to Requirements
ระบบฐานข้อมูลขั้นสูง (Advanced Database Systems) Lecturer AJ. Suwan Janin Phone:
Data and Process Modeling
DFD Examples Yong Choi BPA CSUB. Creating Data Flow Diagrams Steps: 1.Create a list of activities 2.Construct Context Level DFD (identifies external entities.
IS 320 Notes for Chapter 8. ClassX Problems: Low-Tech Fix Use last year's videos on ClassX  Select "Semesters" tab  Select IS 320  Select the week/lecture.
Chapter 9 Describing Process Specifications and Structured Decisions
Phase 2: Systems Analysis
Logic Modeling Logic and timing are not represented on data flow diagrams or entity-relationship diagrams Processes contain logic - what happens under.
CST203-2 Database Management Systems Lecture 2. One Tier Architecture Eg: In this scenario, a workgroup database is stored in a shared location on a single.
CHAPTER 8: MANAGING DATA RESOURCES. File Organization Terms Field: group of characters that represent something Record: group of related fields File:
Describing Process Specifications and Structured Decisions Systems Analysis and Design, 7e Kendall & Kendall 9 © 2008 Pearson Prentice Hall.
5-1 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved.
Lecture 4 Conceptual Data Modeling. Objectives Define terms related to entity relationship modeling, including entity, entity instance, attribute, relationship,
CHAPTER 5 1 DATA AND PROCESS ANALYSIS. Chapter Objectives Describe data and process modeling concepts and tools, including data flow diagrams, a data.
UML’s StateChart FSM, EFSM in UML Concurrent states Tool support.
Lecture 91 Introduction to Data Analysis and Logic Specification Objectives l Draw an entity-relationship diagram, and explain the types of entity relationships.
Systems Analysis and Design 8th Edition
1 Information System Analysis Topic-3. 2 Entity Relationship Diagram \ Definition An entity-relationship (ER) diagram is a specialized graphic that illustrates.
Copyright © 2011 Pearson Education Process Specifications and Structured Decisions Systems Analysis and Design, 8e Kendall & Kendall Global Edition 9.
Business Process Modeling What is a process model? – A formal way of representing how a business system operates. – Illustrates the activities that are.
© 2012 Cengage Learning. All Rights Reserved. This edition is intended for use outside of the U.S. only, with content that may be different from the U.S.
Structured Analysis Methods and Tools
DFD Examples Yong Choi BPA CSUB.
Database Relationships
Business System Development
Business System Development
Business Process Modeling
Systems Analysis and Design
Systems Analysis and Design in a Changing World, Fourth Edition
DATA FLOW DIAGRAMS Budi Arifitama.
Chapter 6 The Traditional Approach to Requirements.
Process Specifications and Structured Decisions
Entity-Relationship Model
DFD Examples Yong Choi BPA CSUB.
UML’s StateChart FSM, EFSM in UML Concurrent states Tool support.
تحلیل سیستم‌ها مدل‌سازی پردازشی.
Data Flow Diagramming Rules
Chapter 9 Structuring System Requirements: Logic Modeling
IST 318 Database Administration
Entity – Relationship Model
Functional Dependencies
Chapter 1: The Database Environment
Information Systems Development MIS331
Chapter 11 Describing Process Specifications and Structured Decisions
DFD Examples Yong Choi BPA CSUB.
DFD Examples Yong Choi BPA CSUB.
Chapter 9 Structuring System Requirements: Logic Modeling
DFD Examples Yong Choi BPA CSUB.
Presentation transcript:

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

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

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

Decision Tables

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

Network Models Network Decomposition Diagram Hub Connectivity Diagrams 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

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

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

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

Data Dictionary Includes: Purposes 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

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

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

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

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

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

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

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)

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

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)

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

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)

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

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

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)

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