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C Plus Data Structures

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1. C Plus Data Structures. Nell Dale. Chapter 1. Software Engineering Principles ... that help to manage the size and complexity of the resulting software ... – PowerPoint PPT presentation

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Title: C Plus Data Structures


1
C Plus Data Structures
  • Nell Dale
  • Chapter 1
  • Software Engineering Principles
  • Modified from the Slides made by Sylvia Sorkin,
    Community College of Baltimore County - Essex
    Campus

2
Software Design Process
3
Programming Life Cycle Activities
  • Problem analysis understand the problem
  • Requirements definition specify what
    program will do
  • High- and low-level design how it meets
    requirements
  • Implementation of design code it
  • Testing and verification detect errors, show
    correct
  • Delivery turn over to customer
  • Operation use the program
  • Maintenance change the program

4
Software Engineering
  • A disciplined approach to the design, production,
    and maintenance of computer programs
  • that are developed on time and within cost
    estimates,
  • using tools that help to manage the size and
    complexity of the resulting software products.

5
Toolboxes
  • Hardware.
  • Software
  • Ideaware (focus of the course!) the shared body
    of knowledge that programmers have collected over
    time, including algorithms, data structures,
    programming methodologies, tools

6
An Algorithm Is . . .
  • A logical sequence of discrete steps that
    describes a complete solution to a given problem
    computable in a finite amount of time.

7
Goals of Quality Software
  • It works.
  • It can be read and understood.
  • It can be modified.
  • It is completed on time and within budget.

8
Specification Understanding the Problem
  • Detailed Program Specification
  • Tells what the program must do, but not how it
    does it.
  • Is written documentation about the program.

9
Writing Detailed Specifications
  • Detailed Program Specification Includes
  • Inputs
  • Outputs
  • Processing requirements
  • Assumptions

10
Program Design
11
Abstraction
  • A model of a complex system that includes only
    the details essential to the perspective of the
    viewer of the system.

12
Information Hiding
  • Hiding the details of a function or data
    structure with the goal of controlling access to
    the details of a module or structure.
  • PURPOSE To prevent high-level designs from
    depending on low-level design details that may be
    changed.

13
Two Approaches to Building Manageable Modules
OBJECT-ORIENTED DESIGN
  • FUNCTIONALDECOMPOSITION

FOCUS ON processes FOCUS ON data
objects
14
Functional Design Modules
Main
Get Data
Prepare File for Reading
Print Data
Print Heading
15
Object-Oriented Design
A technique for developing a program in which the
solution is expressed in terms of objects --
self- contained entities composed of data and
operations on that data.
cin
cout
ltlt
gtgt
setf
get
Private data
Private data
. . .
. . .
ignore
16
More about OOD
  • Languages supporting OOD include C, Java,
    Smalltalk, Eiffel, and Object-Pascal, C,
  • A class is a programmer-defined data type and
    objects are variables of that type.
  • In C, cin is an object of a data type (class)
    named istream, and cout is an object of a class
    ostream. Header files iostream.h and fstream.h
    contain definitions of stream classes.

17
Procedural vs. Object-Oriented Code
  • Read the specification of the software you
    want to build. Underline the verbs if you are
    after procedural code, the nouns if you aim for
    an object-oriented program.
  • Brady Gooch, What is and Isnt Object
    Oriented Design, 1989.

18
Verification of Software Correctness
  • Testing
  • Debugging
  • Program verification

19
Program Verification
  • Program Verification is the process of
    determining the degree to which a software
    product fulfills its specifications.

SPECIFICATIONS Inputs
Outputs Processing
Requirements Assumptions
PROGRAM
20
Program Testing
  • Testing is the process of executing a program
    with various data sets designed to discover
    errors.

DATA SET 4 . . .
21
Origin of Bugs
  • Various Types of Errors
  • Design errors occur when specifications are wrong
  • Compile errors occur when syntax is wrong
  • Run-time errors result from incorrect
    assumptions, incomplete understanding of the
    programming language, or unanticipated user
    errors.

22
Design for Correctness
23
Robustness
  • Robustness is the ability of a program to recover
    following an error the ability of a program to
    continue to operate within its environment.

24
An Assertion
  • Is a logical proposition that is either true or
    false (not necessarily in C code).
  • EXAMPLES
  • studentCount is greater than 0
  • sum is assigned count gt 0
  • response has value y or n
  • partNumber 5467

25
Preconditions and Postconditions
  • The precondition is an assertion describing what
    a function requires to be true before beginning
    execution.
  • The postcondition describes what must be true at
    the moment the function finishes execution.
  • The caller is responsible for ensuring the
    precondition, and the function code must ensure
    the postcondition.

FOR EXAMPLE . . .
26
Design Review Activities
  • Deskchecking tracing an execution of a design or
    program on paper (checklist Fig1.4, pg31).
  • Walk-through a verification method in which a
    team performs a manual simulation of the program
    or design.
  • Inspection a verification method in which one
    member of a team reads the program or design line
    by line an the others point out errors.

27
Program Testing
  • Unit Testing testing a module or function by
    itself
  • Data Coverage testing all possible input values
    (Black Box Testing)
  • Code Coverage testing program paths (Clear/White
    Box Testing)
  • Test Plans
  • Planning for Debugging
  • Integration Testing

28
Tasks within each test case
  • determine inputs that demonstrate the goal.
  • determine the expected behavior for the input.
  • run the program and observe results.
  • compare expected behavior and actual behavior.
    If they differ, we begin debugging.

29
Integration Testing
  • Is performed to integrate program modules that
    have already been independently unit tested.

Main
Get Data
Prepare File for Reading
Find Weighted Average
Print Weighted Average
Print Data
Print Heading
30
Integration Testing Approaches
BOTTOM-UP
  • TOP-DOWN

Ensures individual modules work together
correctly, beginning with the lowest level.
Ensures correct overall design logic.
USES placeholder USES a test driver
to call module stubs to test the
functions being tested. the order of calls.
31
Practical Considerations
32
Life-Cycle Verification Activities
  • Analysis
  • Design
  • Code
  • Test
  • Delivery
  • Maintenance
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