TESTING STRATEGY.ppt

These slides are designed to accompany Software Engineering: A Practitioner’s Approach, 7/e
(McGraw-Hill 2009). Slides copyright 2009 by Roger Pressman. 1
Chapter 17
 Software Testing Strategies
Slide Set to accompany
Software Engineering: A Practitioner’s Approach, 7/e
by Roger S. Pressman
Slides copyright © 1996, 2001, 2005, 2009 by Roger S. Pressman
For non-profit educational use only
May be reproduced ONLY for student use at the university level when used in conjunction
with Software Engineering: A Practitioner's Approach, 7/e. Any other reproduction or use is
prohibited without the express written permission of the author.
All copyright information MUST appear if these slides are posted on a website for student
use.

Software Testing
Testing is the process of exercising
a program with the specific intent of
finding errors prior to delivery to the
end user.

What Testing Shows
errors
requirements conformance
performance
an indication
of quality

Strategic Approach
 To perform effective testing, you should conduct
effective technical reviews. By doing this, many errors
will be eliminated before testing commences.
 Testing begins at the component level and works
"outward" toward the integration of the entire computer-
based system.
 Different testing techniques are appropriate for different
software engineering approaches and at different points
in time.
 Testing is conducted by the developer of the software
and (for large projects) an independent test group.
 Testing and debugging are different activities, but
debugging must be accommodated in any testing
strategy.

V & V
 Verification refers to the set of tasks that ensure
that software correctly implements a specific
function.
 Validation refers to a different set of tasks that
ensure that the software that has been built is
traceable to customer requirements. Boehm
[Boe81] states this another way:
 Verification: "Are we building the product right?"
 Validation: "Are we building the right product?"

Who Tests the Software?
developer independent tester
Understands the system
but, will test "gently"
and, is driven by "delivery"
Must learn about the system,
but, will attempt to break it
and, is driven by quality

Testing Strategy
System engineering
Analysis modeling
Design modeling
Code generation Unit test
Integration test
Validation test
System test

Testing Steps

Testing Strategy
 We begin by ‘testing-in-the-small’ and move
toward ‘testing-in-the-large’
 For conventional software
 The module (component) is our initial focus
 Integration of modules follows
 For OO software
 our focus when “testing in the small” changes from
an individual module (the conventional view) to an
OO class that encompasses attributes and
operations and implies communication and
collaboration

Strategic Issues
 Specify product requirements in a quantifiable manner
long before testing commences.
 State testing objectives explicitly.
 Understand the users of the software and develop a
profile for each user category.
 Develop a testing plan that emphasizes “rapid cycle
testing.”
 Build “robust” software that is designed to test itself
 Use effective technical reviews as a filter prior to testing
 Conduct technical reviews to assess the test strategy
and test cases themselves.
 Develop a continuous improvement approach for the
testing process.

Unit Testing
module
to be
tested
test cases
results
software
engineer

Unit Testing
interface
local data structures
boundary conditions
independent paths
error handling paths
module
to be
tested
test cases

Unit Test Environment
Module
stub stub
driver
RESULTS
interface
local data structures
boundary conditions
independent paths
error handling paths
test cases

Integration Testing Strategies
Options:
• the “big bang” approach
• an incremental construction strategy

Top Down Integration

Top Down Integration
top module is tested with
stubs
stubs are replaced one at
a time, "depth first"
as new modules are integrated,
some subset of tests is re-run
A
B
C
D E
F G

Bottom-Up Integration
drivers are replaced one at a
time, "depth first"
worker modules are grouped into
builds and integrated
A
B
C
D E
F G
cluster

Bottom-Up Integration

Sandwich Testing
Top modules are
tested with stubs
Worker modules are grouped into
builds and integrated
A
B
C
D E
F G
cluster

Regression Testing
 Regression testing is the re-execution of some subset of
tests that have already been conducted to ensure that
changes have not propagated unintended side effects
 Whenever software is corrected, some aspect of the
software configuration (the program, its documentation,
or the data that support it) is changed.
 Regression testing helps to ensure that changes (due to
testing or for other reasons) do not introduce unintended
behavior or additional errors.
 Regression testing may be conducted manually, by re-
executing a subset of all test cases or using automated
capture/playback tools.

Regression Testing
 Regression Test Suite – the subset of test to
be executed contains three different classes of
test cases:
 A representative sample of tests that will exercise all
software functions
 Additional test that focus on software functions that
are likely to be affected by the change
 Tests that focus on the software components that
have been changed

Smoke Testing
 A common approach for creating “daily builds” for product
software
 Smoke testing steps:
 Software components that have been translated into code are
integrated into a “build.”
• A build includes all data files, libraries, reusable modules, and engineered
components that are required to implement one or more product functions.
 A series of tests is designed to expose errors that will keep the build
from properly performing its function.
• The intent should be to uncover “show stopper” errors that have the
highest likelihood of throwing the software project behind schedule.
 The build is integrated with other builds and the entire product (in its
current form) is smoke tested daily.
• The integration approach may be top down or bottom up.

Object-Oriented Testing
 begins by evaluating the correctness and
consistency of the analysis and design models
 testing strategy changes
 the concept of the ‘unit’ broadens due to
encapsulation
 integration focuses on classes and their execution
across a ‘thread’ or in the context of a usage
scenario
 validation uses conventional black box methods
 test case design draws on conventional
methods, but also encompasses special
features

Broadening the View of “Testing”
It can be argued that the review of OO analysis and
design models is especially useful because the
same semantic constructs (e.g., classes, attributes,
operations, messages) appear at the analysis,
design, and code level. Therefore, a problem in the
definition of class attributes that is uncovered
during analysis will circumvent side effects that
might occur if the problem were not discovered
until design or code (or even the next iteration of
analysis).

Testing the CRC Model
1. Revisit the CRC model and the object-relationship model.
2. Inspect the description of each CRC index card to determine if a
delegated responsibility is part of the collaborator’s definition.
3. Invert the connection to ensure that each collaborator that is
asked for service is receiving requests from a reasonable source.
4. Using the inverted connections examined in step 3, determine
whether other classes might be required or whether responsibilities
are properly grouped among the classes.
5. Determine whether widely requested responsibilities might be
combined into a single responsibility.
6. Steps 1 to 5 are applied iteratively to each class and through
each evolution of the analysis model.

OO Testing Strategy
 class testing is the equivalent of unit testing
 operations within the class are tested
 the state behavior of the class is examined
 integration applied three different strategies
 thread-based testing—integrates the set of
classes required to respond to one input or event
 use-based testing—integrates the set of classes
required to respond to one use case
 cluster testing—integrates the set of classes
required to demonstrate one collaboration

WebApp Testing - I
 The content model for the WebApp is reviewed
to uncover errors.
 The interface model is reviewed to ensure that
all use cases can be accommodated.
 The design model for the WebApp is reviewed
to uncover navigation errors.
 The user interface is tested to uncover errors in
presentation and/or navigation mechanics.
 Each functional component is unit tested.

WebApp Testing - II
 Navigation throughout the architecture is tested.
 The WebApp is implemented in a variety of different
environmental configurations and is tested for
compatibility with each configuration.
 Security tests are conducted in an attempt to exploit
vulnerabilities in the WebApp or within its environment.
 Performance tests are conducted.
 The WebApp is tested by a controlled and monitored
population of end-users. The results of their interaction
with the system are evaluated for content and navigation
errors, usability concerns, compatibility concerns, and
WebApp reliability and performance.

High Order Testing
 Validation testing
 Focus is on software requirements
 System testing
 Focus is on system integration
 Alpha/Beta testing
 Focus is on customer usage
 Recovery testing
 forces the software to fail in a variety of ways and verifies that recovery is
properly performed
 Security testing
 verifies that protection mechanisms built into a system will, in fact, protect it
from improper penetration
 Stress testing
 executes a system in a manner that demands resources in abnormal quantity,
frequency, or volume
 Performance Testing
 test the run-time performance of software within the context of an integrated
system

Debugging: A Diagnostic Process

The Debugging Process

Debugging Effort
time required
to diagnose the
symptom and
determine the
cause
time required
to correct the error
and conduct
regression tests

Symptoms & Causes
symptom
cause
symptom and cause may be
geographically separated
symptom may disappear when
another problem is fixed
cause may be due to a
combination of non-errors
cause may be due to a system
or compiler error
cause may be due to
assumptions that everyone
believes
symptom may be intermittent

Consequences of Bugs
damage
mild
annoying
disturbing
serious
extreme
catastrophic
infectious
Bug Type
Bug Categories: function-related bugs,
system-related bugs, data bugs, coding bugs,
design bugs, documentation bugs, standards
violations, etc.

Debugging Techniques
brute force / testing
backtracking
induction
deduction

Correcting the Error
 Is the cause of the bug reproduced in another part of the
program? In many situations, a program defect is caused by an
erroneous pattern of logic that may be reproduced elsewhere.
 What "next bug" might be introduced by the fix I'm about to
make? Before the correction is made, the source code (or,
better, the design) should be evaluated to assess coupling of
logic and data structures.
 What could we have done to prevent this bug in the first place?
This question is the first step toward establishing a statistical
software quality assurance approach. If you correct the
process as well as the product, the bug will be removed from
the current program and may be eliminated from all future
programs.

Final Thoughts
 Think -- before you act to correct
 Use tools to gain additional insight
 If you’re at an impasse, get help from someone
else
 Once you correct the bug, use regression
testing to uncover any side effects

TESTING STRATEGY.ppt

Recommended

More Related Content

What's hot (20)

Similar to TESTING STRATEGY.ppt (20)

Recently uploaded (20)

TESTING STRATEGY.ppt