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ObjectOriented Programming in C

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Top-Down or Bottom-Up ... Objects represent real-world abstractions within the application. Design Considerations ... tan at the beach? Polymorphism. Same ... – PowerPoint PPT presentation

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Title: ObjectOriented Programming in C


1
Object-Oriented Programming in C
2
Prerequisites
  • Access to a C compiler
  • C programming, or good C programming skills

Evaluation
  • Midterm (20)
  • Projects (50)
  • No late projects
  • The projects must compile (ANSI) and execute
  • Final Exam (30)

3
Communications
e-mail jsowers_at_csc.com Tel 609.383.8186 Fax
609.646.1154 Web http//www.cis.njit.edu/jsowers
4
Major Topics Covered
  • Object-Oriented Programming
  • Abstraction
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Object-Oriented Design
  • C Syntax

5
Good Programming Principles
  • Modular programming
  • Divide and conquer
  • Reusable code
  • Example When an electrician needs a light
    switch, they go to a bin and pick one out
  • Extensibility
  • Extending the functionality of a piece of code
    does not require the calling code to be rewritten

6
Design Methodologies
  • Monolithic Programming
  • Procedural Programming
  • Top-Down or Bottom-Up
  • In functional decomposition the whole system is
    characterized by a single function, and then the
    function is decomposed into a set of functions in
    a process of stepwise refinement.

7
Design Methodologies (contd)
  • Top-Down Design
  • Modules with well-defined semantics that can be
    directly implemented.
  • Data plays a secondary role
  • Procedures own the data
  • The data structures generated by functional
    decomposition do not necessarily reflect the
    states of abstraction in the application.

8
Conquer the World
Conquer Europe
Conquer America
Conquer Asia
...
Conquer S. America
Conquer N. America
...
...
Get spouse to take out trash
9
Design Methodologies (contd)
  • Object-Orientation
  • Objects are the building blocks of the program.
  • Objects represent real-world abstractions within
    the application.

10
Design Considerations
  • Quality
  • Schedule
  • Features
  • Choose any 2 (and 1 has top priority!)
  • if quality schedule are important then of
    features are limited
  • if tight schedule large of features have
    priority then quality suffers

11
Myths that hurt Design
  • There is no time to design the application
  • Scheduling is bogus
  • Estimates are certain
  • 8 hours 1 day
  • Keep two sets of schedules
  • Kick up the pressure
  • If the project is behind, add programmers
  • If we leave Tom alone, it will get done
  • Interim releases are a waste of time
  • Well catch up / Well fix it when theres time

12
Fundamental Concepts
13
Abstraction Focusing on What is Important
  • Used to identify the objects involved in a
    particular application
  • Allows recognition of what is important and what
    may be ignored
  • Tends to involve user (domain-expert) in the
    design process
  • One object may have many differing abstractions -
    dependent on the application
  • Possibly the hardest part of O-O

14
Encapsulation Hiding your private parts
  • Based on two principles
  • Process Hiding
  • Data Hiding
  • The user does NOT need to know what the data
    looks like
  • The user ONLY needs to know specific interface
    procedures

In C, one used static for crude data hiding
How many people need to understand
nucleosynthesis to get a tan at the beach?
15
Polymorphism Same Behavior, Different
Implementation
  • The ability of objects related through
    inheritance to respond differently to the same
    message or function call.
  • Same behavior-Same concept different
    implementations
  • calculate_work
  • Carpenter
  • Programmer

16
Inheritance Attaining Reuse
  • Expresses commonality among objects
  • Allows code reusability
  • Highlights has-a/is-a relationships
  • Implementation Inheritance
  • inherits common code and adds specifics
  • Interface Inheritance
  • inherits same interface, but changes
    implementation

17
Encapsulation
  • Allows Modularity
  • Controlled access to data
  • Separates implementation from interface
  • It extends the built-in types

18
Encapsulation (continued)
  • Data Hiding
  • The user does not need to know what the data
    looks like, that is, how it is structured
  • Process Hiding
  • The set of actions which may be performed on the
    data are described in the same module

19
Encapsulation (continued)
  • Built-in data types in procedural languages (int,
    float) provide data abstraction
  • Data representation is hidden (the user does not
    need to knows how the float is stored in memory)
  • Data is encapsulated with the operations which
    are used to act on the data (e.g. , ). You
    cant get at the data directly (but it can be
    hacked).

20
Encapsulation (continued)
  • Procedural languages do not allow creation of new
    abstract data types.
  • Object-oriented languages do.
  • So you can create a new data type whose data
    details are hidden, and which contains actions
    to allow access and manipulation of the data.

21
Why is Data Hiding Important?
  • Lets say you have a data structure called date
    which has two digits for the year field
  • Lets say youre working in a procedural
    programming environment, and many functions use
    this data structure.
  • If you change the date field from two digits to
    four digits, all of these functions will have to
    be changed to work correctly.
  • Remember Y2K ?

22
Why is Data Hiding Important (continued)
  • In an object oriented environment, not all of the
    references to date will need to be changed
  • The internal makeup of the data is not important
    to outside users
  • Another example is changing the definition of
    float from 32 to 64 bits along with a processor
    upgrade

23
Process Hiding
  • segregation of source code in functions lends
    itself to process hiding
  • the user of the function does not need to know
    how the function performs its task
  • the user only needs to know the name of the
    function, what task it performs, and its
    interface (input/output)
  • this is a step toward reusable code

24
Why is encapsulation important?
  • The data and the functions which are used to
    manipulate the data are segregated into one unit
  • This provides a new level of modularity, above
    that of procedure-oriented programming, where
    only the functions are segregated
  • So the benefits of modularity are increased

25
Why is encapsulation important (continued)
  • Data encapsulated within an object is operated
    on by functions within the object
  • So encapsulation hides data from external
    functions
  • This prevents unrelated code from causing errors
    within the encapsulated code
  • For example, it is difficult for external sources
    to mess up floating point operations

26
Which paradigm is best?
  • Procedure oriented programming supports
    modularity, and reusable code (to some extent)
  • Object oriented programming supports modularity,
    reusable code (strongly), and extensibility

27
Classic Example
  • Write a program to maintain a list of shapes
    created by the user, and print the shapes when
    needed.
  • The shapes needed in the application are
  • points
  • lines
  • rectangles
  • circles
  • etc...

28
  • A List of Shapes

29
Conventional Programming
  • For each Shape in ShapeList
  • if (Shape.type is circle) then
  • DrawCircle(Shape)
  • else if (Shape.type is rectangle) then
  • DrawRectangle(Shape)
  • else if (Shape.type is point) then
  • DrawPoint(Shape)
  • else if( Shape.type is line) then
  • DrawLine(Shape)

30
Using Polymorphism
  • For each Shape
  • Shape.Draw()

31
Compiling/Debugging
  • man CC
  • CC -g -o helloWorld helloWorld.cpp
  • compiles helloWorld.cpp
  • creates helloWorld executable
  • includes information for the debugger
  • debuggers
  • dbx - tty interface
  • debugger - X windows interface
  • gdb

32
Assignment 0
  • // Hello World program, in C
  • include ltiostream.hgt
  • int main()
  • cout ltlt "Hello World! ltlt endl
  • return 0
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