Chapter 9 Process Modeling

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Chapter 9 Process Modeling

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Title: Chapter 9 Process Modeling


1
Chapter 9Process Modeling
  • Yong Choi
  • BPA
  • CSUB

2
Not to be discussed
  • Structured English
  • No programming background.does not make sense
  • Decision table
  • Operations management course.
  • Data and Model synchronization
  • Will take at least 4 weeks
  • Details of lower than DFD level 0 or 1
  • Simple taste of DFDs will be enough this time.
  • Can take up to a month to taste more of DFDs

3
Chapter Nine Process Modeling
  • Define systems modeling and differentiate between
    logical and physical system models.
  • Define process modeling and explain its benefits.
  • Recognize and understand the basic concepts and
    constructs of a process model.
  • Explain when to construct process models and
    where to store them.
  • Construct a context diagram to illustrate a
    systems interfaces with its work environment.
  • Identify use cases, external and temporal
    business events for a system.
  • Perform event partitioning and organize events in
    a functional decomposition diagram.
  • Draw event diagrams and merge those events into a
    system diagram.
  • Draw primitive data flow diagrams and describe
    the elementary data flows and processes in terms
    of data structures and procedural logic
    (Structured English and decision tables),
    respectively.

4
Chapter Map
5
System Concept
  • A system exits by taking input from the
    environment , transforming (processing) input,
    and release an output
  • A system may be decomposed (exploded) into
    subsystems
  • Output of one subsystem may become the input of
    other subsystems

6
System Concept (condt)
7
System Decomposition (General)
8
Decomposition Diagram (Hierarchy Chart)
9
Example of Decomposition Diagram
SoundStage Entertainment Club
10
Decomposition se-Case Diagram
11
Separating data and processes
  • Characteristic
  • System focus
  • Design stability
  • Data organization
  • State of data
  • Data-orientation
  • Operation of Data
  • More stable as data needs change slowly
  • Designed for enterprise
  • Controlled
  • Process-orientation
  • what, when how to do
  • Limited due to change in business processes
  • Designed for individual applications
  • unstructured

12
Separating data and processes
  • Process-oriented approach
  • An IS development strategy that focuses on how
    and when data are moved through and transformed
    by an IS
  • Sequence of steps in the process-oriented
    approach
  • define problem -gt identify necessary decisions
    -gt describe information needs -gt determine
    necessary processing -gt specify data needs
  • Data-oriented approach
  • An IS development strategy that focuses on the
    optimal organization of data, not on where or how
    data are used
  • Sequence of steps in the data-oriented approach
  • define problem -gt identify requirements -gt
    develop data model for each user's data -gt
    integrate all the data models into an overall
    model

13
Data Flow Diagrams (DFD)
  • Key points for modeling
  • How data moves through the organization
  • Relationships between various data flows
  • Storage of data
  • Diagrams also called Process Models

14
Process Modeling with DFD
  • Process Modeling is a technique for organizing
    and documenting the structure and flow of data
    through a systems processes, and the logic,
    policies, and procedures to be implemented by a
    systems processes.
  • A Data Flow Diagram (DFD) is a graphical modeling
    tool to depict the flow of data through a system
    and the work or processing performed by that
    system.
  • Whats the system doing

15
Simple Data Flow Diagram for Banking
16
Process Logic
  • DFDs are effective tools for identifying
    processes, but are not good at showing all the
    detail logic inside those processes.
  • Not always easy to know what the lowest logical
    level is
  • However, it is better than
  • Flowcharts and Pseudocode (difficult for users to
    understand).

17
Flowchart
18
Flowchart Limitations
  • Complex logic Sometimes, the program logic is
    quite complicated. In that case, flowchart
    becomes complex and clumsy.
  • Alterations and Modifications If alterations are
    required the flowchart may require re-drawing
    completely.
  • Reproduction As the flowchart symbols cannot be
    typed, reproduction of flowchart becomes a
    problem.
  • The essentials of what is done can easily be lost
    in the technical details of how it is done.

19
Pseudocode
  • This is the pseudocode for a Game of Monopoly,
    including one person's move as a procedure
  • Main Procedure Monopoly_Game
  • Hand out each player's initial money.
  • Decide which player goes first.
  • Repeat
  • Call Procedure Monopoly_Move for next player.
  • Decide if this player must drop out.
  • Until all players except one have dropped out.
  • Declare the surviving player to be the winner.
  • Procedure Monopoly_Move
  • Begin one's move.
  • Throw the dice.
  • Move the number of spaces on the board shown on
    the dice.
  • If the token landed on "Go to Jail,"
  • then go there immediately.
  • Else if the token landed on "Chance" or
    "Community Chest,"
  • then draw a card and follow its instructions.

20
Elements of a DFD
DE MARCO YOURDON NOTATIONS
External Entity
Data Flow
Process
Data Store
21
Elements of a DFD
GANE SARSON NOTATIONS (Textbook)
External Entity
Data Flow
3
Pay Bill
Process
AP Clerk
Data Store
22
External Entities
SUPPLIER
  • An External Entity is a provider (source) or
    receiver (sink) of data and information of the
    system
  • External agents define the boundary or scope
    of a system being modeled.

23
External Entities
  • An external entity (agent) defines a person,
    organization unit, or other organization that
    lies outside of the scope of the project but that
    interacts with the system being studied.
  • As scope changes, external agents can become
    processes, and vice versa.
  • Almost always one of the following
  • Office, department, division inside the business
    but outside the system scope.
  • An external organization or agency.
  • Another business or another information system.
  • One of systems end-users or managers

24
Data Stores
D1
Accounts Receivable
  • A data store is an inventory of data.
  • A data store means data at rest.
  • A data flow means data in motion.

25
Data Stores
  • Almost always one of the following
  • Persons (or groups of persons) e.g., customer
  • Places e.g, cash register
  • Objects e.g., product
  • Events (about which data is captured) e.g.,
    sales
  • Concepts (about which data is important) e.g.,
    discount
  • Data stores depicted on a DFD store all instances
    of data entities (depicted on an ERD)

26
Data Flows
DELIVERY SLIP
  • A Data Flow represents an input of data to a
    process, or the output of data from a process.
  • A data flow may also be used to represent the
    creation, reading, deletion, or updating of data
    in a data store.
  • A composite data flow (packet) is a data flow
    that consists of other data flows.
  • A Data Flow does not represent a document or a
    physical good it represents the exchange of
    information in the document or about the good

27
Processes
1
Pay Bill
  • A Process is a work or action performed on input
    data flow to produce an output data flow
  • Use a verb to label the action performed by the
    process (not the name of person or department who
    does it as in physical DFD)
  • A Process must have at least one input data flow
    and at least one output data flow.

28
How to find each one
  • External Entities (EE)
  • people/organizations/things that supply
    information to or use information from the system
  • Processes (P)
  • actions/doing words/verbs
  • Data Flows (DF)
  • movement/exchange of information/data between
    external entities to processes, and processes to
    processes
  • Data Stores (DS)
  • store/record information/data

29
DFD using Use-Case
  • The actor that initiates the event
  • External entities
  • The use cases
  • Will be handled by a process
  • Inputs (or triggers) outputs and responses
  • Will become a flow of data
  • data store is a result of data flow..thus,
    need naming creativity

30
DFD Naming Guidelines
  • External Entity ? Noun
  • Data Flow ? Names of data
  • Process ? verb phrase
  • a system name
  • a subsystem name
  • Data Store ? Noun

31
Guidelines for Developing DFD
  • Develop a list of business activities
  • Similar to business rules of ERD
  • Create the Context Diagram (we know this)
  • shows external entities and data flows to and
    from the system conceptual DFD
  • Create level 0 DFD (or Diagram 0 in textbook)
  • shows general processes at the highest level
  • Create level 1 DFD (or Child Diagram in textbook)
  • shows more detailed processes

32
DFD Guidelines (cont)
33
Apply logical sequence of the system..
  • A student (EE) sends in an application form (DF)
    containing their personal details, and their
    desired course
  • The university checks (P) that the course is
    available.
  • If the course is available the student is
    enrolled (P) in the course, and the university
    confirms (P) the enrolment by sending a
    confirmation letter (DF) that they are registered
    for the course to the student.
  • Or if the course is unavailable the student is
    sent a rejection letter (DF).

34
Context DFD Building Procedure
  • Identify the system and its boundaries (the
    context)
  • Identify external entities (providers, receivers
    of system info)
  • Identify external data flows (input, output)
  • However, NO DATA STORE !!!
  • Note the whole system itself is a process (it
    receives input and transforms into output)

35
Decomposition of Context Diagram
M
0
Context Diagram
P
N
Level-0 Diagram
M
D1
1
2
P
3
Level-1 Diagram
N
36
Where to Begin Creating DFDs
  • Start with the data flow from an external entity
    and work forwards
  • Start with the data flow to an external entity
    and work backwards
  • Examine the data flows into or out of a data
    store
  • Examine data flows, entity connections and data
    stores associated with a particular process
  • Note fuzzy, ill-defined areas of the system for
    further clarification

37
Description of Each Level
  • Context Diagram This is the highest level and
    represents the overall system and its interaction
    with its environment
  • Level 0 Diagram This shows the major subsystems
    and their interactions
  • Level x Diagram Shows the processes that make up
    each of the major subsystems
  • Level x.y Diagram Shows detail of the above
    diagrams

38
(No Transcript)
39
When to Stop
  • Each process is a single decision or calculation
    or a single database operation, such as retrieve,
    update, create, delete or read.
  • Each data store represents data about a single
    entity such as a customer, employee, product or
    order.
  • The system user does not care to see any more
    detail or when you and other analysts have
    dcoumented sufficient detail to do subsequesnt
    systems development tasks.
  • Every data flow does not need to be split further
    to show that different data are handled in
    different ways.
  • You believe that you have shown each business
    form or transaction, computer screen and report
    as a single data flow.
  • You believe there is a separate process for each
    choice on all lowest-level menu options for the
    system.

40
Level 0 Tips
  • Generally move from top to bottom, left to right
  • Minimize crossed lines
  • Iterate as needed
  • The DFD is often drawn many times before it is
    finished, even with very experienced systems
    analysts

41
Level 0 and 1 DFD Building Procedure
  • Level-0 DFD
  • Identify what is being done between each input
    and its corresponding output
  • Identify the processes
  • Identify external data flows between external
    entities and processes
  • Identify internal data flows between processes
    and data stores
  • Level-1 DFDs
  • Sub-processes (primitive processes) of Level-0
    processes

42
Tips for Level 1 and Below
  • Sources for inputs and outputs listed at higher
    level
  • List source and destination of data flows to
    processes and stores within each DFD
  • Depth of DFD depends on overall system complexity
  • Two processes generally dont need lower level
  • More than seven processes become overly complex
    and difficult to read

43
Rules in DFD Building
  • Rule 1 Use only DFD notations to avoid
    confusion
  • Rule 2 Use an action VERB to label a process
    (because a process is an action !!!)

44
Rules in DFD Building ...
  • Rule 3 Must be one process associated with each
    data flow

M
M
45
Detail Rules in DFD Building ...
  • Rule 3 Must be one process associated with each
    data flow

M
N
M
N
46
Detail Rules in DFD Building ...
  • Rule 3 Must be one process associated with each
    data flow.

47
Detail Rules in DFD Building ...
  • Rule 4 Shaded corner must appear in ALL
    occurrences of a duplicated symbol in a same
    diagram

Accounts Receivable
CUSTOMER
D3
CUSTOMER
D3
Accounts Receivable
48
Detail Rules in DFD Building ...
  • Rule 5 No process without output data flow
    (black hole !!!)

49
Detail Rules in DFD Building ...
  • Rule 6 No process without input data flow
    (miracle !!!)

50
Detail Rules in DFD Building ...
  • Rule 7 No need for routing (without
    transforming) a data flow with a process (non
    value-added activities !!!)

Info A
Info A
51
Detail Rules in DFD Building ...
  • Rule 8 Identical input, output data flows for
    parent and child processes (but the child
    processes can have their own throughputs)
  • See the picture in next slide

52
Detail Rules in DFD Building ...
M
Context Diagram
P
N
M
1
2
P
3
N
Level-0 Diagram
53
Detail Rules in DFD Building ...
  • Rule 9 Data flows cannot split by themselves

54
Detail Rules in DFD Building ...
  • Rule 9 Data flows cannot split

55
Detail Rules in DFD Building ...
  • Rule 10 A data packet can combine many data
    elements being transmitted at the same time to
    the same destination

56
Detail Rules in DFD Building ...
  • Rule 11 Double-headed arrows are forbidden in-
    flow (update) and out-flow (extract info) of a
    data store are different

57
Common Process Errors on DFDs
58
Data to Process Matrix
59
Process to Location Association Matrix
60
Logical vs. Physical Models
  • Logical models show WHAT a system is or does.
    They are independent of any technical
    implementation.
  • Physical models show not only what a system is or
    does, but also HOW the system is (to be)
    physically and technically implemented. They
    reflect technology choices.
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