May-June 2001 ISISTAN Research Institute – Tandil, Argentina Software Design Methodologies: UML in...
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Transcript of May-June 2001 ISISTAN Research Institute – Tandil, Argentina Software Design Methodologies: UML in...
May-June 2001 ISISTAN Research Institute – Tandil, Argentina
Software Design Methodologies: UML in Action
Dr. Mohamed Fayad, J.D. Edwards Professor
Department of Computer Science & Engineering
University of Nebraska, Lincoln
Ferguson Hall, P.O. Box 880115
Lincoln, NE 68588-0115
http://www.cse.unl.edu/~fayad
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S2 Object Identification-1
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Lesson 4:Object Identification - 1
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S3 Object Identification-1
Lesson Objectives
Objectives
3
Understand object identification & class classification Learn how to identify:
Objects and classes
Textual Specification Analysis
Data Analysis
Behavior Analysis
Use Case Analysis Associations and aggregations using Abbott's approach
Understand how to use the following approaches: Data Analysis Use Case
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S4 Object Identification-1
4
Classification Involves Ordering Knowledge
Finding Similarities– Common Attributes– Common Behaviors
OO Classifies Software– Exposes existing commonalities– Invents stable abstractions
Goal is a simple & natural design
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S5 Object Identification-1
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No Single Best Classification Structure
Depends upon
– Domain
– Application
– Experience
– Creativity Water Animals
Air AnimalsLand Animals
?
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S6 Object Identification-1
6
Same Object Can Be Perceived from Several Perspectives
Data-Drivenhead, tail, body, leg
Behavior-Drivenwalk, run, eat
Responsibility-Drivencarry things, communicate,maintain its living system
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S7 Object Identification-1
Textual Specification Analysis
Data Analysis
Behavior Analysis
Use-Case Analysis
Responsibility Analysis 7
Object/Class Identification Techniques
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S8 Object Identification-1
Abbott’s Noun Approach– Use noun, pronoun, and noun phrases to identify
abstract objects and classes.– Use singular proper nouns (e.g., sensor number 5) and
nouns of direct reference (e.g., the fifth sensor) to identify abstract objects.
– Use plural and common (e.g., sensor) nouns to identify classes.
– Use verbs and predicate phrases (e.g., are simultaneously activated) to identify the associated operations.
Comments– This approach is the oldest approach 8
Textual Analysis Approach
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S9 Object Identification-1
Benefits:– Easy for beginners to use– Abbott’s mapping should usually work– Can be used with pre-existing textual requirements
specifications– Does not require a complete paradigm shift
Risks– Indirect– Many software engineers are weak in grammar– English is vague, Examples
• Some nouns can be used as verbs and vis versa• Some words (e.g., purchase, record) can be used as both nouns and
verbs– Assumes user’s requirements are coherent, complete and
correct– No tool support 10
Textual Analysis Approach
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S10 Object Identification-1
Classes should make sense in the problem domain.
Good classes classify the objects which need to be modeled in the system.
Classes often correspond to NOUNS.
Avoid redundant or irrelevant classes which add no value in the problem domain.
Remove classes which have no attributes. 12
Selecting Good Classes
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S11 Object Identification-1
After initial pass, discard classes which are:
Redundant
Irrelevant to the problem domain
Vague
Attributes
If class name has no attributes of its own, it is probably an attribute.
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Elimination of Inappropriate Classes
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S12 Object Identification-1
The Problem Statement:
A simple cash register has a display, an electronic wire with a plug, and a numeric keypad which has keys for subtotal, tax, and total. This cash storage device has a total key which triggers the release on the drawer. The numeric buttons simply place a number on the display screen, the subtotal displays the current total, the tax key computes the tax, and the total key adds the subtotal to the tax.
• Identify all the classes in this problem statement• Use the class elimination rules to eliminate the
unnecessary classes. 12
Example 1: Simple Cash Register
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S13 Object Identification-1
We are going to use nouns to find classes Nouns (initial)Register Display WirePlug Keypad KeysDevices Release DrawerButtons Screen NumberTotal Tax
Nouns (General Knowledge)0-9 keysMoneySubtotal KeyTax KeyTotal Key
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Classes in the initial pass
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S14 Object Identification-1
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Eliminating Unnecessary Nouns
Register
Display
Wire ---> Irrelevant
Plug ---> Irrelevant
Keypad
Keys
Devices ---> Vague
Release ---> Irrelevant
Drawer
Buttons ---> Redundant
• Screen ---> Redundant
• Number ---> Attribute
• Total ---> Attribute
• Tax ---> Attribute
• 0-9 Key
• Value ---> Attribute
• Money
• Subtotal Key
• Tax Key
• Total Key
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S15 Object Identification-1
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Data Analysis Approach
Name Breed Owner Name
Name Address
Happy Poodle JoeTasha Pit Bull EricKing, Jr. Shepherd Carol
Carol 2601 Lake St.
1. Identify abstract objects as table
2. Identify instances as rows in table
3. Identify relationships between objects
Dog Owner
Dog
But how do you find your abstract objects?
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S16 Object Identification-1
Tangible things -- airplane, book, table
Roles -- doctor, professor
Incidents -- accident, flight
Interactions -- purchase, marriage
Specifications -- insurance policy
People -- humans who carry out some function
Places -- areas set aside for people or things
Organizations -- formally organized collections of people, resources. and facilities 16
Analyzing the Domain for Abstract Objects
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S17 Object Identification-1
Associations often refer to verbs of verb phrases – Examples: next to, contains, part of, works for,
married to, downstream from, connected to, etc.
These may be explicit in the problem statement or implicit in the knowledge of the problem domain
Write down all candidates, then eliminate unnecessary ones and add others
Aggregation is just a common type of association 17
Identifying Associations/Aggregations
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S18 Object Identification-1
Data Flow Diagrams (DFDs)
State-Transition Diagrams (STDs)
Semantic Nets or Object-Interaction
Diagrams (OIDs)
Message or communication Diagrams
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Behavior Analysis
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S19 Object Identification-1
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Looking for Behavior
Examine required Processing or behavior of system components
Objectify common behavior
– Use inheritance
DFDs may help identify processesSwimmers
Flyers
Runners
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S20 Object Identification-1
DFD Approach
– Use each data store on a DFD to identify an abstract object or class
– Use (all or part of) the transforms associated with data store to identify associated operations
Candidate Objects
– external entities
– data stores
– control transformations
Candidate Classes
– data flows
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Data Flow Diagrams (DFDs)
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S21 Object Identification-1
Benefits– Very well-known approach– Many requirements analysis methods are
based on DFDs.– Tool support exists– Does not require paradigm shift
Risks– Data abstraction – Indirect– Traditional DFDs have the wrong scope 21
Data Flow Diagrams (DFDs) (cont’d)
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S22 Object Identification-1
State Approach
– Identify an object or a class for each entity that has a state
Benefits
– Can be used at any time that an object or a class has a finite number of obvious states
Risks
– The state can belong to the entire subsystem or an operation
– An object or a class may have an infinite number of states.
– An object or a class may have states that are not all obvious.
– An object or a class may have only a small number of trivial states. 22
State-Transition Diagrams (STDs)
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S23 Object Identification-1
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Use Case Analysis: Baseball System
Pitch a Ball
Run the Bases
Hit a Home Run
Runner on First Base
Batter
Pitcher
Scored a Run
1
1
1
1
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S24 Object Identification-1
Base hit Single base hit
• In field base hit• Outfield base hit
Double base hit Triple base hit Home run
• A home run• Two home runs• Three home runs• Grand Slam 24
Some Use Cases in Baseball Game
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S25 Object Identification-1
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A Use Case Description
Use Case: Hit a Home Run When a batter hits a home run, the runners run the bases
and reach home plate and score When a batter hits a home run, the batter runs the bases
until reaching the home plate and scores When the runners score, the score board updates the
score board, the game announcer is going crazy and saying “ a big home run ... holy cow ... holy cow “ and the fans are going wild and screaming a lot.
When ..
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S26 Object Identification-1
1. Define: use case model, use case, specification objects, incident objects, organization objects.
2. List all the object identification techniques
3. What are the benefits and risks of each of these techniques?
4. Describe how do you identify associations and aggregations
5. Explain:
a. The same object can be perceived from several perspectives.
b. No single best classification structure.
c. Classification involves ordering knowledge.
d. How to select good classes
e. How to eliminate inappropriate classes 26
Discussion Questions
May-June 2001 ISISTAN Research Institute – Tandil, Argentina -- M.E. Fayad
L4-S27 Object Identification-1
Check the definition of: Classes, Objects, Attributes, Interfaces, Abstraction, Behavior, Responsibility, Roles, Associations, Aggregation.
Describe the following Models: Use Case Model, DFD, STD, OID, OCD.
27
Questions for the Next Lecture