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9 C  H  A  P  T  E  R PROCESS MODELING
Chapter Map
Models : Logical and Physical ,[object Object],[object Object],Model  – representasi (grafik) dari dunia nyata.
Process Modeling and DFDs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Simple Data Flow Diagram
Differences Between DFDs and Flowcharts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Process Concepts ,[object Object]
Process Decomposition ,[object Object]
Decomposition Diagrams ,[object Object],[object Object]
Common Process Errors on DFDs
Structured English ,[object Object],1.  For each CUSTOMER NUMBER in the data store CUSTOMERS: a.  For each LOAN in the data store LOANS that matches the above CUSTOMER NUMBER: 1)  Keep a running total of NUMBER OF LOANS for the CUSTOMER NUMBER. 2)  Keep a running total of the ORIGINAL LOAN PRINCIPAL for the CUSTOMER NUMBER. 3)  Keep a running total of CURRENT LOAN BALANCE for the CUSTOMER NUMBER. 4)  Keep a running total of AMOUNTS PAST DUE for the CUSTOMER NUMBER. b.  If the TOTAL AMOUNTS PAST DUE for the CUSTOMER NUMBER is greater than $100.00 then: 1)  Write the CUSTOMER NUMBER and all their data attributes as described in the data flow LOANS AT RISK. Else 1)  Exclude the CUSTOMER NUMBER and data from the data flow LOANS AT RISK.
[object Object],[object Object],[object Object],[object Object],[object Object],Data Flows & Control Flows
Data Flow Packet Concept
Composite and Elementary Data Flows
Data Flows to and from Data Stores
Illegal Data Flows
A Data Structure for a Data Flow ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],ENGLISH ENTERPRETATION An instance of ORDER consists of: ORDER NUMBER and ORDER DATE and Either PERSONAL CUSTOMER NUMBER or CORPORATE ACCOUNT NUMBER and SHIPPING ADDRESS (which is equivalent  to ADDRESS) and optionally: BILLING ADDRESS (which is  equivalent to ADDRESS) and one or more instances of: PRODUCT NUMBER and PRODUCT DESCRIPTION and QUANTITY ORDERED and PRODUCT PRICE and PRODUCT PRICE SOURCE and EXTENDED PRICE and SUM OF EXTENDED PRICES and PREPAID AMOUNT and optionally: both CREDIT CARD NUMBER and  EXPIRATION DATE An instance of ADDRESS consists of: optionally: POST OFFICE BOX NUMBER and STREET ADDRESS and CITY and Either STATE or MUNICIPALITY and optionally: COUNTRY and POSTAL CODE
Data Structure Constructs An instance or ORDER consists of: Either PERSONAL CUSTOMER NUMBER or CORPORATE ACCOUNT NUMBER;  and ORDER DATE and… ORDER= (PERSONAL CUSTOMER NUMBER,  CORPORATE ACCOUNT NUMBER)+ ORDER DATE+… Selection of Attributes  - The selection data structure allows you to show situations where different sets of attributes describe different instances of the data flow. An instance of WAGE AND TAX STATEMENTS consists of: TAXPAYER IDENTIFICATION NUMBER and TAXPAYER NAME and TAXPAYER ADDRESS and WAGES, TIPS AND COMPENSATION and FEDERAL TAX WITHHELD and… WAGE AND TAX STATEMENT= TAXPAYER IDENTIFICATION NUMBER+ TAXPAYER NAME+ TAXPAYER ADDRESS+ WAGES, TIPS, AND COMPENSATION+ FEDERAL TAX WITHHELD+… Sequence of Attributes  - The sequence data structure indicates one or more attributes that may (or must) be included in a data flow. English Interpretation (relevant portion is  boldfaced ) Format by Example (relevant portion is  boldfaced Data Structure
Data Structure Constructs (continued) An instance of CLAIM consists of: POLICY NUMBER and POLICYHOLDER NAME and POLICYHOLDER ADDRESS and zero or more instance of: DEPENDENT NAME and DEPENDENT’S RELATIONSHIP and one or more instances of: EXPENSE DESCRIPTION and SERVICE PROVIDER and EXPENSE ACCOUNT POLICY NUMBER+ POLICYHOLDER NAME+ POLICY HOLDER ADDRESS+ 0 {DEPENDENT NAME+ DEPENDENT’S RELATIONSHIP} N+ 1 {EXPENSE DESCRIPTION+ SERVICE PROVIDER+ EXPENSE AMOUNT} N Repetition of Attributes  - The repetition data structure is used to set off a data attribute or group of data attributes that may (or must) repeat themselves a specific number of time for a single instance of the data flow. The minimum number of repetitions is usually  zero  or  one . The maximum number of repetitions may be specified as “n” meaning “many” where the actual number of instances varies for each instance of the data flow. English Interpretation (relevant portion is  boldfaced ) Format by Example (relevant portion is  boldfaced Data Structure
Data Structure Constructs (concluded) Then, the reusable structures can be included in other data flow structures as follows: ORDER=ORDER NUMBER…+DATE INVOICE=INVOICE NUMBER…+DATE PAYMENT=CUSTOMER NUMBER…+DATE DATE= MONTH+ DAY+ YEAR+ Reusable Attributes  - For groups of attributes that are contained in many data flows, it is desirable to create a separate data structure that can be reused in other data structures. An instance of CLAIM consists of: POLICY NUMBER and POLICYHOLDER NAME and POLICYHOLDER ADDRESS and optionally, SPOUSE NAME and DATE OF BIRTH  and… CLAIM= POLICY NUMBER+ POLICYHOLDER NAME+ POLICYHOLDER ADDRESS+ ( SPOUSE NAME+ DATE OF BIRTH) +… Optional Attributes  - The optional notation indicates that an attribute, or group of attributes  in a sequence or selection date structure  may not be included in all instances of a data flow. Note: For the repetition data structure, a minimum of “zero” is the same as making the entire repeating group “optional.” English Interpretation (relevant portion is  boldfaced ) Format by Example (relevant portion is  boldfaced Data Structure
Data Types and Domains ,[object Object],[object Object],[object Object],[object Object]
Diverging and Converging Data Flows ,[object Object],[object Object],[object Object],[object Object]
Diverging and Converging Data Flows
External Agents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Stores ,[object Object],[object Object]
When to Draw Process Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Classical Structured Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Modern Structured Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Structured Analysis Diagram Progression  (1 of 3)
Structured Analysis Diagram Progression  (2 of 3)
Structured Analysis Diagram Progression  (3 of 3)
CASE for DFDs (Sample Screen)  from System Architect 2001
SoundStage Context DFD
SoundStage Functional Decomposition Diagram
Events ,[object Object],[object Object],[object Object]
Use Cases ,[object Object],[object Object]
Use Case List
Use Case List (continued)
Event Decomposition Diagram (partial)
External Event  DFD Event diagram  – diagram aliran data yang menggambarkan konteks event tunggal.
External Event  DFD (more complex)
Temporal Event  DFD
System  DFD
System  DFD
Primitive  DFD  (see book for more readable copy)
Entering a Data Flow Using a CASE Tool
Entering an Elementary Process Using a CASE Tool
Sample Data to Process CRUD Matrix
Sample Process to Location Association Matrix

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Bab 9

  • 1. 9 C H A P T E R PROCESS MODELING
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  • 13. Data Flow Packet Concept
  • 15. Data Flows to and from Data Stores
  • 17.
  • 18. Data Structure Constructs An instance or ORDER consists of: Either PERSONAL CUSTOMER NUMBER or CORPORATE ACCOUNT NUMBER; and ORDER DATE and… ORDER= (PERSONAL CUSTOMER NUMBER, CORPORATE ACCOUNT NUMBER)+ ORDER DATE+… Selection of Attributes - The selection data structure allows you to show situations where different sets of attributes describe different instances of the data flow. An instance of WAGE AND TAX STATEMENTS consists of: TAXPAYER IDENTIFICATION NUMBER and TAXPAYER NAME and TAXPAYER ADDRESS and WAGES, TIPS AND COMPENSATION and FEDERAL TAX WITHHELD and… WAGE AND TAX STATEMENT= TAXPAYER IDENTIFICATION NUMBER+ TAXPAYER NAME+ TAXPAYER ADDRESS+ WAGES, TIPS, AND COMPENSATION+ FEDERAL TAX WITHHELD+… Sequence of Attributes - The sequence data structure indicates one or more attributes that may (or must) be included in a data flow. English Interpretation (relevant portion is boldfaced ) Format by Example (relevant portion is boldfaced Data Structure
  • 19. Data Structure Constructs (continued) An instance of CLAIM consists of: POLICY NUMBER and POLICYHOLDER NAME and POLICYHOLDER ADDRESS and zero or more instance of: DEPENDENT NAME and DEPENDENT’S RELATIONSHIP and one or more instances of: EXPENSE DESCRIPTION and SERVICE PROVIDER and EXPENSE ACCOUNT POLICY NUMBER+ POLICYHOLDER NAME+ POLICY HOLDER ADDRESS+ 0 {DEPENDENT NAME+ DEPENDENT’S RELATIONSHIP} N+ 1 {EXPENSE DESCRIPTION+ SERVICE PROVIDER+ EXPENSE AMOUNT} N Repetition of Attributes - The repetition data structure is used to set off a data attribute or group of data attributes that may (or must) repeat themselves a specific number of time for a single instance of the data flow. The minimum number of repetitions is usually zero or one . The maximum number of repetitions may be specified as “n” meaning “many” where the actual number of instances varies for each instance of the data flow. English Interpretation (relevant portion is boldfaced ) Format by Example (relevant portion is boldfaced Data Structure
  • 20. Data Structure Constructs (concluded) Then, the reusable structures can be included in other data flow structures as follows: ORDER=ORDER NUMBER…+DATE INVOICE=INVOICE NUMBER…+DATE PAYMENT=CUSTOMER NUMBER…+DATE DATE= MONTH+ DAY+ YEAR+ Reusable Attributes - For groups of attributes that are contained in many data flows, it is desirable to create a separate data structure that can be reused in other data structures. An instance of CLAIM consists of: POLICY NUMBER and POLICYHOLDER NAME and POLICYHOLDER ADDRESS and optionally, SPOUSE NAME and DATE OF BIRTH and… CLAIM= POLICY NUMBER+ POLICYHOLDER NAME+ POLICYHOLDER ADDRESS+ ( SPOUSE NAME+ DATE OF BIRTH) +… Optional Attributes - The optional notation indicates that an attribute, or group of attributes in a sequence or selection date structure may not be included in all instances of a data flow. Note: For the repetition data structure, a minimum of “zero” is the same as making the entire repeating group “optional.” English Interpretation (relevant portion is boldfaced ) Format by Example (relevant portion is boldfaced Data Structure
  • 21.
  • 22.
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  • 26.
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  • 28.
  • 29. Structured Analysis Diagram Progression (1 of 3)
  • 30. Structured Analysis Diagram Progression (2 of 3)
  • 31. Structured Analysis Diagram Progression (3 of 3)
  • 32. CASE for DFDs (Sample Screen) from System Architect 2001
  • 35.
  • 36.
  • 38. Use Case List (continued)
  • 40. External Event DFD Event diagram – diagram aliran data yang menggambarkan konteks event tunggal.
  • 41. External Event DFD (more complex)
  • 45. Primitive DFD (see book for more readable copy)
  • 46. Entering a Data Flow Using a CASE Tool
  • 47. Entering an Elementary Process Using a CASE Tool
  • 48. Sample Data to Process CRUD Matrix
  • 49. Sample Process to Location Association Matrix

Notas do Editor

  1. Chapter 9 – Process Modeling This repository of slides is intended to support the named chapter. The slide repository should be used as follows: Copy the file to a unique name for your course and unit. Edit the file by deleting those slides you don’t want to cover, editing other slides as appropriate to your course, and adding slides as desired. Print the slides to produce transparency masters or print directly to film or present the slides using a computer image projector. Each slide includes instructor notes. To view those notes in PowerPoint, click-left on the View Menu; then click left on Notes View sub-menu. You may need to scroll down to see the instructor notes. The instructor notes are also available in hardcopy as the Instructor Guide to Accompany Systems Analysis and Design Methods, 6/ed.
  2. Chapter 9 – Process Modeling No additional notes
  3. Chapter 9 – Process Modeling Teaching Notes In some books, the term logical is called a conceptual or essential . The term essential comes from the notion that the model represents the “essence” of the system. For database-oriented instructors, the term logical in the world of systems analysis is NOT equivalent to the term logical in the world of database. In the database world, a “logical schema” is already constrained by the choice of a database technology, which runs contrary to the systems analysis expectation that a logical model is technology- in dependent. In some books, the term physical is called implementation or technical . Emphasize that there are nearly always multiple technical solutions for any given set of business requirements. In most projects, there is one logical model that represents the mandatory and desirable business requirements, regardless of how those requirements might be implemented. On the other hand, given that one logical model, there are multiple candidate physical models that could represent alternative, technical implementations that could fulfill the business requirements (although analysts rarely draw more than one or two of those physical models).
  4. Chapter 9 – Process Modeling Teaching Notes Many, if not most students have drawn or seen process models in the form of program flowcharts. Unfortunately, flowcharts are control-flow process models as opposed to data flow process models. This can cause some students trouble because they want to illustrate structured flow of control (nonparallel processing) in their early DFDs. Most introductory information systems books at least introduce, with one or two examples, DFDs.
  5. Chapter 9 – Process Modeling Teaching Notes We have found it useful to walk through this first DFD. Don’t be alarmed if students take exception to some of the oversimplification of the illustrated problem—it can actually contribute to the learning experience.
  6. Chapter 9 – Process Modeling No additional notes
  7. Chapter 9 – Process Modeling Teaching Notes The nebulous “system environment” was intended to represent the constantly changing reality that characterizes all systems. The trick is to design systems to adapt to such change, or to be easily adapted to such change. Feedback and control is included to monitor the system and adapt to change.
  8. Chapter 9 – Process Modeling No additional notes
  9. Chapter 9 – Process Modeling Teaching Notes Decomposition is a top-down problem-solving approach. It might be useful to point out the numbering scheme. This scheme is common, but we do not like it because if the system is restructured, it forces renumbering all processes. Some instructors like to do a quick example using a small but realistic problem.
  10. Chapter 9 – Process Modeling Teaching Notes Idea: Correct this diagram as an in-class exercise. 3.1.1: To correct the diagram, a data flow, ACCOUNTING DATA, should be added from the data store, MEMBER ACCOUNTS, to process 3.1.1. 3.1.2: To fix the black hole, we might add an output data flow called NEW MEMBER ACCOUNT from process 3.1.2 to the data store MEMBER ACCOUNTS. 3.1.3: To fix the miracle, you would need to at least add a data flow such as ACCOUNTING DATA from the data store, MEMBER ACCOUNTS, to process 3.1.3. In all likelihood, you also need some type of triggering data flow, such as ACCOUNT FREEZE AUTHORIZATION, from a new external agent, such ACCOUNTING DEPARTMENT, to process 3.1 3.
  11. Chapter 9 – Process Modeling Teaching Notes On the diagram, we recorded the Structured English inside the process box to reinforce the fact that the Structured English specifies the underlying procedure being executed by the process. In practice, the procedural specification is recorded in a data dictionary/encyclopedia that is separate from the actual diagram (but linked to/associated with the process “name” on the DFD). If students are familiar with pseudocode, point out the similarities and differences between Structured English and pseudocode.
  12. Chapter 9 – Process Modeling Conversion Notes Most books do not teach “control flows.” The were initially proposed by Paul Ward in his books that extended structured analysis techniques to cover real-time systems. They are especially useful in contemporary information systems analysis because they are as close as structured analysis gets to illustrating “messages” in an object-oriented world. Teaching Notes Make sure students do not confuse data flows with flowchart arrows. Flowchart arrows are not named because they merely indicate “the next step.” Data flows pass actual data attributes to and from processes. CRUD is a useful acronym from the database world to remember the basic data flows as they relate to data stores: C reate, R ead, U pdate (or change), and D elete. One of the most common uses of composite data flows is to combine many reports into a single data flow on a high-level DFD. They can also be used to combine similar transactions on a higher level DFD before differentiating between those flows on lower-level DFDs. Use case diagrams, an object-oriented analysis tool that also describes interfaces are taught in Chapter 7.
  13. Chapter 9 – Process Modeling No additional notes
  14. Chapter 9 – Process Modeling No additional notes
  15. Chapter 9 – Process Modeling Teaching Notes Some DFD methodologies suggest that data flows to and from data stores not be named. We think this confuses the end-users when they try to read the diagrams. Also, we believe that it is easier to have DFD errors of omission if the rules state that some flows are named while others are not. Some DFD notations actually use the CRUD letters only to name flows to and from data stores. We consider this an acceptable alternative. CRUD is a useful acronym from the database world to remember the basic data flows as they relate to data stores: C reate, R ead, U pdate (or change), and D elete.
  16. Chapter 9 – Process Modeling No additional notes
  17. Chapter 9 – Process Modeling Teaching Notes Bring several “physical” business forms to class. Transform one form into its relational algebraic data structure. Then, divide students into teams and ask them to perform the same exercise on a form and present their solutions to the class.
  18. Chapter 9 – Process Modeling Teaching Notes Point out that the same basic structures of sequence, selection, and iteration—that we applied to procedures using Structured English—are being applied here to describe data structures. We have never found any form or file structure that could not be described using this notation!
  19. Chapter 9 – Process Modeling Teaching Notes Point out that the same basic structures of sequence, selection, and iteration—that we applied to procedures using Structured English—are being applied here to describe data structures. We have never found any form or file structure that could not be described using this notation!
  20. Chapter 9 – Process Modeling Teaching Notes Point out that the same basic structures of sequence, selection, and iteration—that we applied to procedures using Structured English—are being applied here to describe data structures. We have never found any form or file structure that could not be described using this notation!
  21. Teaching Notes In previous editions, we tried to distinguish between “information systems” and “computer applications” (the latter being a subset of the former). This created more confusion with students than it was worth. Some books use the term “computer technology.” We prefer the more contemporary term “information technology” as a superset of computer technology.
  22. No additional notes.
  23. Teaching Notes Different CASE tools use different notations to illustrate converging and diverging data flows. In fact, some CASE tools do not even support this concept.
  24. Conversion Notes Most books refer to external agents by the name of external entities . Eventually, we expect to borrow the object-oriented term “actors.” Teaching Notes It is very important to emphasize the external agents on DFDs are not the same as entities on ERDs (from Chapter 7) —especially if the instructor prefers the more traditional term “external entity.” This is true even though you could have both an entity (on an ERD) with the same name as an external agent/entity on a DFD. Consider the entity CUSTOMER and the external agent CUSTOMER: The entity CUSTOMER indicates the requirement to store data about customers. The external agent CUSTOMER indicates the requirement for an interaction (inputs and/or outputs) with customers. It is very important for students to understand that external agents are “processes” outside of the scope of the system or business. As such, as scope “increases,” external agents can become processes. Conversely, if scope “decreases,” processes can become external agents.
  25. Teaching Notes Emphasize that a data store contains all instances of a data entity (from the data model). That is why data store names are plurals (as contrasted to data entity names that are singular). Although we don’t prefer it, some analysts designate a data store to contain all instances of several entities and relationships from a data model. For example, an ORDERS data store might include all instances of the data entities ORDER and ORDERED PRODUCT, and all instances of the relationship between ORDER and ORDERED PRODUCT —We prefer the simplicity of representing each data entity from the data model as its own data store on the process models. Emphasize that because data stores are shared resources available to many processes, it is acceptable to duplicate them on several DFDs—The duplication does NOT indicate redundant storage (on logical DFDs); it merely represents the sharing of the data store by several processes.
  26. Teaching Notes This is a context slide only. In this chapter, our demonstration of DFDs is exclusively for “systems analysis,” specifically “requirements modeling.”
  27. Teaching Notes It might be best NOT to show this slide to students. It is primarily intended to help instructors understand the differences between original structured analysis and contemporary structured analysis (the latter is shown on the next slide). This approach to systems analysis is rarely practiced and is no longer recommended even by its original evangelists, Tom DeMarco and Ed Yourdon. Yourdon officially updated the methodology based on the seminal work, Essential Systems Analysis , by McMenamin and Palmer. The revised approach is shown on the next slide.
  28. Teaching Notes Although this process may not be as familiar to some adopters as the top-down, fully leveled, classical “physical-logical-logical-physical” approach in the 1976 DeMarco methodology, this is the more contemporary approach and is taught in our book. The original approach is rarely, if ever, practiced because it is so labor intensive and time consuming.
  29. No additional notes.
  30. No additional notes.
  31. No additional notes.
  32. No additional notes.
  33. Teaching Notes Emphasize that a context DFD does not have to show every net data flow. For most systems, that would overwhelm the reader. Trivial or less common flows can be omitted until later diagrams, and composite data flows can be created to combine multiple flows. As a result, and in the strictest sense, not all primitive data flows may “balance” up to the context DFD, but we sacrifice that balancing to improve readability and validation. All data flows on the context DFD will balance down to the lower-level DFDs (although composite data flows will be replaced by their separate component data flows).
  34. No additional notes.
  35. Teaching Notes Events are very similar to use cases in object-oriented analysis. Events are represented on DFDs as data flows (for external events) or control flows (for temporal and state events).
  36. Teaching Notes Use cases were taught in Chapter 6 as a technique for requirements discovery. Why teach use cases in a DFD chapter? Simple! We recognized the similarity of concept between Yourdon’s event-response structured analysis paradigm and Jacobsen’s use case object-oriented analysis paradigm. Note that DFDs are included in at least one early object-oriented analysis methodology, namely, OMT (Rumbaugh, et al.). Actors are essentially equivalent to DFD external agents .
  37. No additional notes.
  38. No additional notes.
  39. Teaching Notes Most event decomposition diagrams will require multiple pages (or one very large plotter-style page) because most systems are required to respond to many events (possibly dozens or hundreds).
  40. No additional notes.
  41. No additional notes.
  42. No additional notes.
  43. Teaching Notes Most system DFDs will not fit on one or two pages —too many event processes. Instead they must be illustrated in a series of system diagrams that correspond to the structure originally depicted in the functional decomposition diagram.
  44. Teaching Notes Discuss balancing with the class, the concept that requires that data flow diagrams at different levels of detail reflect consistency and completeness.
  45. Teaching Notes It is important to recognize that not all events require a primitive DFD to be drawn. This is especially true of most report-writing and inquiry response event processes. Drawing detailed DFDs for such processes is usually little more than “busy work.”
  46. Teaching Notes The screen capture demonstrates the dialogue box used to insert the data structure for a data flow on a DFD. Each data flow would require a similar data structure to be specified.
  47. No additional notes.
  48. No additional notes.
  49. No additional notes.