CS计算机代考程序代写 junit finance Java SOFT2201/COMP9201: Software Construction and Design 1

SOFT2201/COMP9201: Software Construction and Design 1
Testing
Dr. Xi Wu
School of Computer Science
The University of Sydney
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Agenda
– Software Testing – Unit Testing
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Software Engineering Body of Knowledge
– Software Requirements
– Software Design / Modelling
– Software Construction
– Software Testing
– Software Maintenance
– Software Configuration Management
– Software Engineering Process
– Software Engineering Tools and Methods – Software Quality
Software Engineering Body of Knowledge (SWEBOK) https://www.computer.org/web/swebok/
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Why Software Testing?
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• • •
Societies, businesses and governments depend on SW
• Power, Telecommunication, Education, Government, Transport, Finance, Health
• Work automation, communication, control of complex systems Large software economies in developed countries
• IT application development expenditure in the US more than $250bn/year1
• Total value added GDP in the US2: $1.07 trillion
Emerging challenges
• Security, robustness, human user-interface, and new computational platforms
Software is Everywhere!
1 Chaos Report, Standish group Report, 2014 2 softwareimpact.bsa.org
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Software Failure – Ariane 5 Disaster5
What happened?
• European large rocket – 10 years development, ~$7 billion
• Unmanaged software exception resulted from a data conversion
from 64-bit floating point to a 16-bit signed integer
• Backup processor failed straight after using the same software
• Exploded 37 seconds after lift-off
Why did it happen?
• Design error, incorrect analysis of changing requirements, inadequate validation and verification, testing and reviews, ineffective development processes and management
5 http://iansommerville.com/software-engineering-book/files/2014/07/Bashar-Ariane5.pdf The University of Sydney
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Why Software Testing?
– Software development and maintenance costs • Financial burden of failure
– Total costs of imperfect software testing for the US in 2002 was AUD86 billion*
– One third of the cost could be eliminated by ‘easily’ improved software testing
– Need to develop functional, robust and reliable software – Human/social factor
• Dependence on software in many aspects of their lives – Small software errors can lead to disasters
* NIST study 2002 The University of Sydney
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What is Software Testing?
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Software testing
– Software process to
l demonstrate that software meets its requirements (validation
testing)
l Find incorrect or undesired behaviour caused by defects (defect testing)
l e.g. crashes, incorrect results, data corruption
– Part of the software Verification and Validation (V&V) process
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Types of testing
– Unit testing
l Verify functionality of software components independent of the
whole system
– Integration testing
l Verify interactions between software components
– System Testing
l Verify functionality and behaviour of the entire software system l Includes security, performance, reliability, and external interfaces
– Acceptance testing
l Verify desired acceptance criteria are met from the users point of
view
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Software Verification and Validation
– Software testing is part of software V&V
– The goal of V&V is to establish confidence that the software is “fit
for purpose”
– Software Validation

l Are we building the right product?
l Ensures that the software meets customer expectations Software Verification
l Are we building the product correctly
l Ensure the software meets the stated functional and non-functional
requirements
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Black box or White box
– Black box testing
l The internals of the software system is unknown
l Only inputs to the system are controlled, and outputs from the system are measured
l Specification-based testing
l May be the only choice to test libraries without access to internal
– White box testing
l The internals of the software system are known l The internal structure is tested directly
l Unit, integration, system testing
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Types of testing
Functional testing
l Unit
l Integration
l System
l Regression
l Interface
l User Acceptance l Configuration
l Sanity
Non-functional testing
l Performance l Stress
l Reliability
l Usability
l Load
l Security
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Who should design and run tests?
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Test engineer
– Independent testers
l Independent testers do not have the same biases as the developer l Different assumptions
l Domain specific knowledge of testing
– Developer
l Understands the system being developed
l Domain specific knowledge of the system
l Cheaper
l Can finish writing the system faster without tests since they won’t make mistakes
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Unit Testing
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Unit testing
– The process of verifying functionality of software components independently
l Unit can mean methods, functions, or object classes l Verify that each unit behaves as expected
l Carried out by developers and software testers
l First level of testing
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Why unit testing
– Maintain and change code at a smaller scale
– Discover defects early and fix it when its cheaper – Simplify integration testing
– Simplify debugging
– Code reusability
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How to do the unit test
– Identify the unit that you want to test
– Design test case
– Prepare test data (input and expected output) – Run test case using test data
– Compare result to expected output
– Prepare test reports
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Designing test cases
– Effective test cases show:
l The unit does what it is supposed to do
l Reveal defects, if they exist (does not do what it is not supposed to do)
– Design two types of test case
l Test normal operation of the unit
l Test abnormal operation (common problems)
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Designing test cases – techniques
– Partition testing (equivalence partitioning)
l Identify groups of tests that have common characteristics
l From each group, choose specific tests
l Use program specifications, documentation, and experience
– Guideline-based testing
l Use testing guidelines based on previous experience of the kinds
of errors made
l Depends on the existence of previous experience (developer/product)
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Equivalence partitioning
– Groups of test input that have common characteristics l Positive numbers
l Negative numbers
l Boundaries
– Program is expected to behave in a comparable way for all members of a group
l Control flow should be similar for all members – Choose test cases from each partition
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Test case selection
– Understanding developers thinking
l Easy to focus on typical values of input
l Common case, and what was asked for l Easy to overlook a typical value of input
l Users, other developers, new features, all have different expectations
– Choose test cases that are
l On boundaries of partitions
l In ‘midpoint’ of partitions
l NB: Boundaries may be unclear (-1, 0, 1, 0.5)
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Test cases – identifying partitions
– Consider this specification:
l The program accepts 4 to 8 inputs that are five digit integers
greater than 10,000
– Identify the input partitions and possible test inputs
?
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Test cases – identifying partitions
– Consider this specification:
l The program accepts 4 to 8 inputs that are five digit integers
greater than 10,000
– Identify the input partitions and possible test inputs
– How many values l <4, 4-8, >8
– How many digits
l < 5, 5, > 5, non-digits
– How big
l > 10000
l etc.
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Test case selection guidelines
– Knowledge of types of test case effective for finding errors – If testing sequences, arrays, lists:
l Single value
l Different sequences of different sizes
l Test partition boundaries (first, middle, last) l Consider order of values
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Test case selection guidelines
– Choose inputs that force the system to generate all expected error messages
– Design inputs that cause buffer overflows
– Repeat input
– Force invalid outputs to be generated
– Force computations results that are too large or too small
– Domain specific knowledge!
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Acquiring domain specific knowledge
– Be an expert on the system, or type of system – or,
– Make many mistakes
– Identify mistakes
– Write tests to identify mistakes
– Fix mistakes
– Be an expert on the system, or type of system
– Regression testing!
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Regression testing
– If a defect is identified in software it can be fixed l How did it get there?
l How do you stop it happening again?
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Regression testing
– Regression: a defect that has been fixed before, happens again l Human error
l Version control problems
l Specific case is fixed, but the general case remains
l Convergent evolution
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Regression testing
– As defects in software are fixed, tests are written that demonstrate that the software is fixed (at least in regard to that particular defect)
l Tests can be re-run with each change in the software system l Regression testing
l Frequently automated
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When to test
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When to test
– Continuously
– When the software system changes l Code changes
l Design changes
l Infrastructure changes
l At regular intervals in case the above missed a change
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How to test
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How to test
– Write testable code
public static void main(String[] args) { // All the code
// All
}
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How to test
– Write testable code
public static void main(String[] args) { Application app = new Application();
}
Public class Application { Application() {
// All the code }
}
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How to test
– Write testable code
public static void main(String[] args) { Application app = new Application();
app.doEverything(); }
public class Application { Application() {
// Construct the application }
public void doEverything() { // All the code
} }
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How to test
– Write testable code
public class Application { Application() {
// Construct the application }
public void doEverything() { // Most of the code doSomeOfTheThings();
}
public void doSomeOfTheThings() {
// Some of the code }
}
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How to test
– Write testable code
public class Application { Application() {
// Construct the application }
public void doEverything() {
// Some code
Thing = doSomeOfTheThings(thing); // More code
}
public BigThing doSomeOfTheThings(LittleThing littleThing) {
// Some of the code that deals with LittleThings }
}
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How to test
– Write testable code
public class Application { // …
public void doEverything(LittleThingFactory littleThingFactory) { LittleThing firstThing= littleThingFactory.makeThing(); LitteThing secondThing = doStuff(firstThing); doStuff(secondThing);
doStuffWithTwoThings(firstThing, secondThing); doSomeOfTheThings(thing);
// …
}
protected BigThing doSomeOfTheThings(LittleThing littleThing) {
// Some of the code that deals with LittleThings }
// …
}
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Unit Testing in Java
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Unit testing terminology
– Unit test
l A piece of code written by a developer that executes a specific functionality in the code under test and asserts a certain behaviour or state as correct
l Small unit of code (method/class)
l External dependencies are removed
l (Mocking) – Test fixture
l Testing context
l Shared test data
l Methods for setting up test data
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Unit testing frameworks for Java
– JUnit
– TestNG
– Jtest
– Many others
– Custom, developer-written, tests
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JUnit
import static org.junit.Assert.assertEquals; import org.junit.Test;
import mypackage.Calculator;
class CalculatorTest { @Test
void addition() {
Calculator calculator = new Calculator(); assertEquals(2, calculator.add(1, 1));
} }
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JUnit
import static org.junit.Assert.assertEquals; import org.junit.Test;
import mypackage.Calculator;
class CalculatorTest { @Test
void addition() {
Calculator calculator = new Calculator(); assertEquals(2, calculator.add(1, 1));
} }
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JUnit
import static org.junit.Assert.assertEquals; import org.junit.Test;
import mypackage.Calculator;
class CalculatorTest { @Test
void addition() {
Calculator calculator = new Calculator(); assertEquals(2, calculator.add(1, 1));
} }
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JUnit
import static org.junit.Assert.assertEquals; import org.junit.Test;
import mypackage.Calculator;
class CalculatorTest { @Test
void addition() {
Calculator calculator = new Calculator(); assertEquals(2, calculator.add(1, 1));
} }
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JUnit
import static org.junit.Assert.assertEquals; import org.junit.Test;
import mypackage.Calculator;
class CalculatorTest { @Test
void addition() {
Calculator calculator = new Calculator(); int expected = 2;
int actual = calculator.add(1, 1); assertEquals(expected, actual);
} }
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JUnit
import static org.junit.Assert.assertEquals; import org.junit.Test;
import mypackage.Calculator;
class CalculatorTest { @Test
void addition() {
Calculator calculator = new Calculator(); int expected = 2;
int actual = calculator.add(1, 1); assertEquals(expected, actual);
} }
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JUnit
import static org.junit.Assert.assertEquals; import org.junit.Test;
import mypackage.Calculator;
class CalculatorTest { @Test
void addition() {
Calculator calculator = new Calculator(); int expected = 2;
int actual = calculator.add(1, 1); assertEquals(expected, actual);
} }
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JUnit constructs
– JUnit test
l A method only used for testing
– Test suite
l A set of test classes to be executed together
– Test annotations
l Define test methods (e.g., @Test, @Before) l JUnit uses the annotations to build the tests
– Assertion methods
l Check expected result is the actual result l e.g., assertEquals, assertTrue, assertSame
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JUnit annotations
– @Test
l Identifies a test method
– @Before
l Execute before each test
– @After
l Execute after each test
– @BeforeClass
l Execute once, before all tests in this class
– @AfterClass
l Execute once, after all tests in this class
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JUnit assertions
– assertEquals(expected, actual)
import static org.junit.Assert.assertEquals; import org.junit.Test;
import mypackage.Calculator;
class CalculatorTest { @Test
void addition() {
Calculator calculator = new Calculator(); int expected = 2;
int actual = calculator.add(1, 1); assertEquals(expected, actual);
} }
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JUnit assertions
– assertEquals(message, expected, actual)
import static org.junit.Assert.assertEquals; import org.junit.Test;
import mypackage.Calculator;
class CalculatorTest { @Test
void addition() {
Calculator calculator = new Calculator();
int expected = 2;
int actual = calculator.add(1, 1);
assertEquals(“Expected value != actual”, expected, actual);
} }
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JUnit assertions
– assertTrue
import static org.junit.Assert.assertEquals; import org.junit.Test;
import mypackage.Calculator;
class CalculatorTest { @Test
void addition() {
Calculator calculator = new Calculator(); assertTrue(2 == calculator.add(1, 1));
} }
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JUnit assertions
– assertTrue
import static org.junit.Assert.assertEquals; import org.junit.Test;
import mypackage.Calculator;
class CalculatorTest { @Test
void addition() {
Calculator calculator = new Calculator(); assertTrue(“Can’t do 1 + 1 :(“, 2 == calculator.add(1, 1));
} }
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JUnit assertions
import …
class CalculatorTest { Calculator calculator @Before
void setup() {
calculator = new Calculator(); }
@Test
void additionBothPositive() { assertEquals(2, calculator.add(1, 1)); assertEquals(5, calculator.add(4, 1));
assertEquals(5, calculator.add(2, 3)); }

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Tasks for Week 7
• Submit weekly exercise on canvas before 23.59pm Sunday
• Submit assignment 2 on canvas and Ed platform before its due.
– All assignments are individual assignments
– Please note that: work must be done individually without consulting someone else’s solutions in accordance with the University’s “Academic Dishonesty and Plagiarism” policies
• Attend Helpdesk session if you have any questions/difficulties on implementation perspective
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What are we going to learn next week?
• Code Review
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