The document provides information about JUnit, a unit testing framework for Java. It discusses what JUnit is, why it is used, its history and basic annotations. Key points include:
- JUnit serves as a foundation for launching testing frameworks on the JVM and defines the TestEngine API. It provides a Console Launcher and supports popular IDEs and build tools.
- JUnit allows developers to write automated tests to validate code works as intended before deploying. This reduces bugs and tracks changes made by others.
- Basic annotations in JUnit identify test methods and classes, allow ignoring tests, and specify expected exceptions.
- JUnit advocates writing isolated, fast, and independent unit tests through
Renaissance of JUnit - Introduction to JUnit 5Jimmy Lu
The document introduces JUnit 5, which was rewritten to address limitations in JUnit 4. JUnit 5 includes JUnit Jupiter for writing tests, JUnit Vintage for running JUnit 3/4 tests, and a unified platform. It provides key features like lambda syntax for assertions, dependency injection, dynamic and nested tests, and an extension model. The platform defines APIs for test discovery, execution and reporting that are used by IDEs and build tools to launch testing frameworks in a modular way.
Talk was given for the first time at JPrime 2017 conference in Sofia, Bulgaria
JUnit is the standard way to test things in Java. In fact, it is the most commonly included external library for Java projects! Here is another fact - JUnit 4 release was 11 years ago and no feature releases were added in recent years. What you knew about JUnit in 2010 is still 100% relevant today. In 2017...
So finally, time for upgrade!
What took 11 years? What is new? What changed and what stayed the same? What about IDE and build tool support? When is the release date? What will testing on the JVM look like in the future? Check the presentation and you will find out.
For more info about JPrime check out jprime.io
JUnit 5 - The Next Generation of JUnit - Ted's Tool TimeTed Vinke
JUnit 5 is the next generation of JUnit. The goal is to create an up-to-date foundation for developer-side testing on the JVM. This includes focusing on Java 8 and above, as well as enabling many different styles of testing.
An Introduction to JUnit 5 and how to use it with Spring boot tests and Mockitoshaunthomas999
This document provides an overview of JUnit 5, including its components and features. It introduces JUnit 5 as an improvement over JUnit 4, released in 2017 to work with Java 8+. JUnit 5 consists of the Platform, Jupiter, and Vintage. The Platform provides test discovery and execution. Jupiter supports writing new tests with annotations and extensions. Vintage allows running old JUnit 3 & 4 tests on the platform. New features discussed include assertions, assumptions, display names, tags, repetition, and parameterization. It also covers using JUnit 5 with Spring tests and Mockito.
The document discusses the next generation of the JUnit testing framework, JUnit 5. It introduces the new modular architecture of JUnit 5, which consists of the JUnit Platform, JUnit Jupiter, and JUnit Vintage. It describes some of the new features in JUnit 5 like new annotations, assertions, assumptions, tagging tests, extensions, and dynamic tests. Finally, it provides some migration tips for moving from JUnit 4 to JUnit 5.
JUnit is the standard way to test things in Java. In fact, it is the most commonly included external library for Java projects! Here is another fact - JUnit 4 release was 11 years ago and no feature releases were added in recent years. What you knew about JUnit in 2010 is still 100% relevant today. In 2017...
So finally, time for an upgrade!
What took 11 years? What is new? What changed and what stayed the same? What about IDE and build tool support? What will testing on the JVM look like in the future? Check the presentation and you will find out.
YouTube Link: https://youtu.be/SDwqcFwvwY0
** Selenium Training:https://www.edureka.co/masters-program/automation-testing-engineer-training **
This ‘JUnit Tutorial’ video by Edureka helps you understand about the unit testing framework in detail. Topics to be covered in this Software Testing Video are:
What is Junit? Advantages and uses
Features
The JUnit framework
How to set up JUnit
How to run a simple JUnit program
JUnit annotations and Assert statements
Exceptions
Parameterized test
JUnit vs TestNG
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
JUnit is a unit testing framework for Java that allows developers to write and run repeatable automated tests of Java code. Key aspects of JUnit include:
1. Tests are written by creating test classes that extend JUnit's TestCase class and contain test methods with names beginning with "test".
2. Tests use JUnit's assert methods like assertEquals to make assertions and determine whether the test passed or failed.
3. Annotations like @Before and @After allow setting up fixtures that run before and after each test.
4. The TestRunner class collects and runs all test cases and reports results.
5. Tests can be organized into test suites to group related tests and control execution
Renaissance of JUnit - Introduction to JUnit 5Jimmy Lu
The document introduces JUnit 5, which was rewritten to address limitations in JUnit 4. JUnit 5 includes JUnit Jupiter for writing tests, JUnit Vintage for running JUnit 3/4 tests, and a unified platform. It provides key features like lambda syntax for assertions, dependency injection, dynamic and nested tests, and an extension model. The platform defines APIs for test discovery, execution and reporting that are used by IDEs and build tools to launch testing frameworks in a modular way.
Talk was given for the first time at JPrime 2017 conference in Sofia, Bulgaria
JUnit is the standard way to test things in Java. In fact, it is the most commonly included external library for Java projects! Here is another fact - JUnit 4 release was 11 years ago and no feature releases were added in recent years. What you knew about JUnit in 2010 is still 100% relevant today. In 2017...
So finally, time for upgrade!
What took 11 years? What is new? What changed and what stayed the same? What about IDE and build tool support? When is the release date? What will testing on the JVM look like in the future? Check the presentation and you will find out.
For more info about JPrime check out jprime.io
JUnit 5 - The Next Generation of JUnit - Ted's Tool TimeTed Vinke
JUnit 5 is the next generation of JUnit. The goal is to create an up-to-date foundation for developer-side testing on the JVM. This includes focusing on Java 8 and above, as well as enabling many different styles of testing.
An Introduction to JUnit 5 and how to use it with Spring boot tests and Mockitoshaunthomas999
This document provides an overview of JUnit 5, including its components and features. It introduces JUnit 5 as an improvement over JUnit 4, released in 2017 to work with Java 8+. JUnit 5 consists of the Platform, Jupiter, and Vintage. The Platform provides test discovery and execution. Jupiter supports writing new tests with annotations and extensions. Vintage allows running old JUnit 3 & 4 tests on the platform. New features discussed include assertions, assumptions, display names, tags, repetition, and parameterization. It also covers using JUnit 5 with Spring tests and Mockito.
The document discusses the next generation of the JUnit testing framework, JUnit 5. It introduces the new modular architecture of JUnit 5, which consists of the JUnit Platform, JUnit Jupiter, and JUnit Vintage. It describes some of the new features in JUnit 5 like new annotations, assertions, assumptions, tagging tests, extensions, and dynamic tests. Finally, it provides some migration tips for moving from JUnit 4 to JUnit 5.
JUnit is the standard way to test things in Java. In fact, it is the most commonly included external library for Java projects! Here is another fact - JUnit 4 release was 11 years ago and no feature releases were added in recent years. What you knew about JUnit in 2010 is still 100% relevant today. In 2017...
So finally, time for an upgrade!
What took 11 years? What is new? What changed and what stayed the same? What about IDE and build tool support? What will testing on the JVM look like in the future? Check the presentation and you will find out.
YouTube Link: https://youtu.be/SDwqcFwvwY0
** Selenium Training:https://www.edureka.co/masters-program/automation-testing-engineer-training **
This ‘JUnit Tutorial’ video by Edureka helps you understand about the unit testing framework in detail. Topics to be covered in this Software Testing Video are:
What is Junit? Advantages and uses
Features
The JUnit framework
How to set up JUnit
How to run a simple JUnit program
JUnit annotations and Assert statements
Exceptions
Parameterized test
JUnit vs TestNG
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
JUnit is a unit testing framework for Java that allows developers to write and run repeatable automated tests of Java code. Key aspects of JUnit include:
1. Tests are written by creating test classes that extend JUnit's TestCase class and contain test methods with names beginning with "test".
2. Tests use JUnit's assert methods like assertEquals to make assertions and determine whether the test passed or failed.
3. Annotations like @Before and @After allow setting up fixtures that run before and after each test.
4. The TestRunner class collects and runs all test cases and reports results.
5. Tests can be organized into test suites to group related tests and control execution
This presentation describes the some of the major functionality of JUnit4 and TestNG .Each topic contains example so that a viewer can understand the usage and apply them in their code.
This document provides an introduction and overview of TestNG, an alternative testing framework to JUnit. It outlines TestNG's main features like annotations for tests, assertions, exception handling. It also includes links to examples on GitHub and the official website, as well as how to add the TestNG dependency to Maven projects.
This document provides an overview of JUnit, a unit testing framework for Java. It discusses JUnit's history and development by Kent Beck and others. The key aspects covered include: writing test cases by extending TestCase and adding test methods; using assertion methods like assertTrue and assertEquals to check conditions; organizing tests into test suites; and running JUnit tests within the Eclipse IDE. Other unit testing tools for other languages are also briefly mentioned.
TestNG is a testing framework for Java that overcomes limitations of JUnit and supports features like parameters, dependent methods, flexible configuration, and powerful execution models. It uses annotations to guide test case execution and allows grouping, parallelization, and skipping of test cases. TestNG can be installed in Eclipse by adding the TestNG plugin, then a new Java project is created and the TestNG library is added to generate test reports from test classes using various TestNG annotations that are run from Eclipse.
The document discusses JUnit 5, the next generation of the JUnit testing framework for Java. Key aspects include a new programming model using extensions, support for Java 8 features, and ways to migrate from earlier JUnit versions. The new framework consists of the JUnit Platform launcher, the JUnit Jupiter API for writing tests, and the JUnit Vintage engine for running JUnit 3 and 4 tests.
Introduction of TestNG framework and its benefits over Junit frameworkBugRaptors
TestNG is a testing framework stirred from NUnit and JUnit but presenting some new functionalities that make it much easier and powerful to use. It is an open source automated testing framework; in which NG means Next Generation. TestNG is much more influential than JUnit but is inspired by JUnit. It is developed to be better than JUnit, specifically while testing integrated classes. We should thank Cedric Beust who has created TestNG.
The document provides an overview of the FlexUnit 4 testing framework architecture. It discusses how FlexUnit 4 uses test cases, test suites, requests, runners, and listeners to execute unit tests in a flexible and extensible manner. Key aspects include using builders to identify the correct runner for each class, sequencing tests using statements, and decorating test methods to handle asynchronous behavior.
1. The document discusses various tools and frameworks for unit testing Java, Android, and C/C++ code including JUnit, EasyMock, Google Test, and Google Mock.
2. It provides information on setting up and writing tests for each framework including creating test projects, including libraries, and using mocking functionality.
3. Code examples and references are given for writing and running unit tests with each testing framework.
Test driven development - JUnit basics and best practicesNarendra Pathai
A presentation covering all the basics of Software Unit testing using JUnit framework. A lot of best practices, myths misconceptions are covered. Naming conventions for test methods and fundamental requirements for doing sustainable Junit testing.
This document provides information about TestNG, an open source Java testing framework created by Cédric Beust. It discusses TestNG features like annotations, parameters, data-driven testing, dependencies, and integration with Selenium. TestNG allows writing flexible tests with features like data providers, groups, parallel test execution, and built-in assertions. The document also provides references to learn more about TestNG through books, tutorials, videos and the TestNG website.
This document provides an overview of TestNG, an open source testing framework for Java. It discusses TestNG annotations that can be used to configure tests such as @BeforeClass and @AfterClass. TestNG supports features like dependent test methods, parallel testing, and parameterization. The document explains how to set up TestNG in Eclipse and Maven projects, and covers using TestNG for Selenium testing. TestNG configuration is done through XML files which specify test classes, groups, parallel execution and parameters.
Unit testing and integration testing are software testing techniques. Unit testing involves validating individual units or components of code work properly. Integration testing involves combining units and testing them together to find interface defects. An example integration test scenario described combining database scripts, application code, and GUI components developed separately into one system and verifying the interfaces. TestNG is a testing framework that supports features like dependency testing, grouping tests, and parameterization to make testing more powerful than JUnit.
JUnit is an open source unit testing framework for Java applications. It was written by Erich Gamma and Kent Beck and is part of the xUnit family of unit testing frameworks. JUnit allows developers to write test cases that test individual classes and methods. These test cases can be grouped into test suites and run automatically to ensure code meets requirements and to catch errors early in the development process. JUnit includes annotations like @Test to identify test methods and asserts to validate method output. It integrates with development tools like Eclipse to provide test results.
This document provides an overview of the TestNG testing framework, including its features, benefits, installation process, and comparisons to JUnit. TestNG is a testing framework inspired by JUnit and designed to cover all categories of tests. It allows for multi-threaded, grouped, dependent, and parameterized testing. TestNG has advantages over JUnit like flexible grouping of tests, dependency testing, and integration with tools. The document demonstrates how to use TestNG annotations, XML configuration, parameters, data providers, factories, listeners and more. It also summarizes the key differences between TestNG and JUnit.
What is TestNG in Selenium? TestNG is a data driven framework that allows to group, prioritise and order your test case in the most convenient manner YOU descire. Let's see more about it.
TestNG is a testing framework for Java that provides flexibility in test configuration and execution. It allows tests to be run in parallel and in groups. Key features include dependency management between tests using annotations, parameterized testing, exception handling, and listeners to customize reporting. TestNG offers more flexibility and features than JUnit, while both frameworks can be used together in TestNG's mixed mode.
JUnit is a unit testing framework for Java that allows developers to write test cases to validate code. Key features include annotations to mark test cases and setup/teardown methods, assertions to validate expected results, and the ability to generate HTML reports of test results. Code coverage tools like EclEmma measure which lines and conditions of code are executed by tests, helping developers ensure their tests cover all relevant parts of the code. Maintaining a high level of test coverage can improve code quality and help identify unused code.
The document discusses various aspects of unit testing including definitions, benefits, naming standards, and best practices. It provides definitions for terms like error, defect, failure. It outlines the benefits of unit testing like finding bugs early, enabling code refactoring. It discusses what should be tested like boundaries, error conditions. It also provides examples of good test names and guidelines for structuring and naming unit tests.
This document provides an introduction to JUnit, a unit testing framework for Java. It discusses why unit testing is important, how to write and organize JUnit tests, how to use assertions and mocks, and how to integrate JUnit with IDEs and build tools like Maven and Ant. Key aspects covered include the benefits of unit testing, the core components and design of JUnit, best practices for test-driven development and test maintenance, and resources for learning more about JUnit.
JUnit: A unit testing framework that is extensively used to test the code written in Java.
Unit testing is a type of software testing.
Software testing: The process of examining whether the software and its components meet the specified requirements
Other types of software testing are as shown.
Test driven development and unit testing with examples in C++Hong Le Van
Test-driven development (TDD) relies on short development cycles of writing a failing test case, producing code to pass that test, and refactoring the code. Unit testing tests individual units of code by isolating each part and showing they work correctly. Boost.Test is a popular C++ unit testing framework that allows organizing tests into suites and fixtures, and provides assertions and output of results. A minimal Boost.Test example defines a test case using BOOST_AUTO_TEST_CASE that contains an assertion like BOOST_CHECK_EQUAL to test that 2+2 equals 4.
This presentation describes the some of the major functionality of JUnit4 and TestNG .Each topic contains example so that a viewer can understand the usage and apply them in their code.
This document provides an introduction and overview of TestNG, an alternative testing framework to JUnit. It outlines TestNG's main features like annotations for tests, assertions, exception handling. It also includes links to examples on GitHub and the official website, as well as how to add the TestNG dependency to Maven projects.
This document provides an overview of JUnit, a unit testing framework for Java. It discusses JUnit's history and development by Kent Beck and others. The key aspects covered include: writing test cases by extending TestCase and adding test methods; using assertion methods like assertTrue and assertEquals to check conditions; organizing tests into test suites; and running JUnit tests within the Eclipse IDE. Other unit testing tools for other languages are also briefly mentioned.
TestNG is a testing framework for Java that overcomes limitations of JUnit and supports features like parameters, dependent methods, flexible configuration, and powerful execution models. It uses annotations to guide test case execution and allows grouping, parallelization, and skipping of test cases. TestNG can be installed in Eclipse by adding the TestNG plugin, then a new Java project is created and the TestNG library is added to generate test reports from test classes using various TestNG annotations that are run from Eclipse.
The document discusses JUnit 5, the next generation of the JUnit testing framework for Java. Key aspects include a new programming model using extensions, support for Java 8 features, and ways to migrate from earlier JUnit versions. The new framework consists of the JUnit Platform launcher, the JUnit Jupiter API for writing tests, and the JUnit Vintage engine for running JUnit 3 and 4 tests.
Introduction of TestNG framework and its benefits over Junit frameworkBugRaptors
TestNG is a testing framework stirred from NUnit and JUnit but presenting some new functionalities that make it much easier and powerful to use. It is an open source automated testing framework; in which NG means Next Generation. TestNG is much more influential than JUnit but is inspired by JUnit. It is developed to be better than JUnit, specifically while testing integrated classes. We should thank Cedric Beust who has created TestNG.
The document provides an overview of the FlexUnit 4 testing framework architecture. It discusses how FlexUnit 4 uses test cases, test suites, requests, runners, and listeners to execute unit tests in a flexible and extensible manner. Key aspects include using builders to identify the correct runner for each class, sequencing tests using statements, and decorating test methods to handle asynchronous behavior.
1. The document discusses various tools and frameworks for unit testing Java, Android, and C/C++ code including JUnit, EasyMock, Google Test, and Google Mock.
2. It provides information on setting up and writing tests for each framework including creating test projects, including libraries, and using mocking functionality.
3. Code examples and references are given for writing and running unit tests with each testing framework.
Test driven development - JUnit basics and best practicesNarendra Pathai
A presentation covering all the basics of Software Unit testing using JUnit framework. A lot of best practices, myths misconceptions are covered. Naming conventions for test methods and fundamental requirements for doing sustainable Junit testing.
This document provides information about TestNG, an open source Java testing framework created by Cédric Beust. It discusses TestNG features like annotations, parameters, data-driven testing, dependencies, and integration with Selenium. TestNG allows writing flexible tests with features like data providers, groups, parallel test execution, and built-in assertions. The document also provides references to learn more about TestNG through books, tutorials, videos and the TestNG website.
This document provides an overview of TestNG, an open source testing framework for Java. It discusses TestNG annotations that can be used to configure tests such as @BeforeClass and @AfterClass. TestNG supports features like dependent test methods, parallel testing, and parameterization. The document explains how to set up TestNG in Eclipse and Maven projects, and covers using TestNG for Selenium testing. TestNG configuration is done through XML files which specify test classes, groups, parallel execution and parameters.
Unit testing and integration testing are software testing techniques. Unit testing involves validating individual units or components of code work properly. Integration testing involves combining units and testing them together to find interface defects. An example integration test scenario described combining database scripts, application code, and GUI components developed separately into one system and verifying the interfaces. TestNG is a testing framework that supports features like dependency testing, grouping tests, and parameterization to make testing more powerful than JUnit.
JUnit is an open source unit testing framework for Java applications. It was written by Erich Gamma and Kent Beck and is part of the xUnit family of unit testing frameworks. JUnit allows developers to write test cases that test individual classes and methods. These test cases can be grouped into test suites and run automatically to ensure code meets requirements and to catch errors early in the development process. JUnit includes annotations like @Test to identify test methods and asserts to validate method output. It integrates with development tools like Eclipse to provide test results.
This document provides an overview of the TestNG testing framework, including its features, benefits, installation process, and comparisons to JUnit. TestNG is a testing framework inspired by JUnit and designed to cover all categories of tests. It allows for multi-threaded, grouped, dependent, and parameterized testing. TestNG has advantages over JUnit like flexible grouping of tests, dependency testing, and integration with tools. The document demonstrates how to use TestNG annotations, XML configuration, parameters, data providers, factories, listeners and more. It also summarizes the key differences between TestNG and JUnit.
What is TestNG in Selenium? TestNG is a data driven framework that allows to group, prioritise and order your test case in the most convenient manner YOU descire. Let's see more about it.
TestNG is a testing framework for Java that provides flexibility in test configuration and execution. It allows tests to be run in parallel and in groups. Key features include dependency management between tests using annotations, parameterized testing, exception handling, and listeners to customize reporting. TestNG offers more flexibility and features than JUnit, while both frameworks can be used together in TestNG's mixed mode.
JUnit is a unit testing framework for Java that allows developers to write test cases to validate code. Key features include annotations to mark test cases and setup/teardown methods, assertions to validate expected results, and the ability to generate HTML reports of test results. Code coverage tools like EclEmma measure which lines and conditions of code are executed by tests, helping developers ensure their tests cover all relevant parts of the code. Maintaining a high level of test coverage can improve code quality and help identify unused code.
The document discusses various aspects of unit testing including definitions, benefits, naming standards, and best practices. It provides definitions for terms like error, defect, failure. It outlines the benefits of unit testing like finding bugs early, enabling code refactoring. It discusses what should be tested like boundaries, error conditions. It also provides examples of good test names and guidelines for structuring and naming unit tests.
This document provides an introduction to JUnit, a unit testing framework for Java. It discusses why unit testing is important, how to write and organize JUnit tests, how to use assertions and mocks, and how to integrate JUnit with IDEs and build tools like Maven and Ant. Key aspects covered include the benefits of unit testing, the core components and design of JUnit, best practices for test-driven development and test maintenance, and resources for learning more about JUnit.
JUnit: A unit testing framework that is extensively used to test the code written in Java.
Unit testing is a type of software testing.
Software testing: The process of examining whether the software and its components meet the specified requirements
Other types of software testing are as shown.
Test driven development and unit testing with examples in C++Hong Le Van
Test-driven development (TDD) relies on short development cycles of writing a failing test case, producing code to pass that test, and refactoring the code. Unit testing tests individual units of code by isolating each part and showing they work correctly. Boost.Test is a popular C++ unit testing framework that allows organizing tests into suites and fixtures, and provides assertions and output of results. A minimal Boost.Test example defines a test case using BOOST_AUTO_TEST_CASE that contains an assertion like BOOST_CHECK_EQUAL to test that 2+2 equals 4.
The document discusses different types of software testing like unit testing, integration testing, and Test Driven Development. It emphasizes that integration testing is important for verifying that components work together as expected within the full application environment. The document also describes Arquillian, an open source tool that facilitates integration testing of Java EE and Spring applications by allowing tests to run within a deployed application server container.
Unit Testing Concepts and Best PracticesDerek Smith
Unit testing involves writing code to test individual units or components of an application to ensure they perform as expected. The document discusses best practices for unit testing including writing atomic, consistent, self-descriptive tests with clear assertions. Tests should be separated by business module and type and not include conditional logic, loops, or exception handling. Production code should be isolated from test code. The goal of unit testing is to validate that code meets specifications and prevents regressions over time.
The document discusses unit testing fundamentals, including definitions of unit testing, benefits of unit testing like fewer bugs, and differences between unit and functional testing. It provides best practices for unit testing like tests running fast and in isolation. The document also covers test-driven development, exposing seams to make code testable, using mocking frameworks, and maintaining good test coverage.
Test-driven development (TDD) involves writing unit tests before writing code to help ensure code quality and avoid omitted tests. The document discusses the NUnit testing framework for .NET, which uses attributes to identify test fixtures, methods, and setup/teardown functionality. It also covers how to write tests using assertions and run tests using the NUnit GUI or console applications.
This document discusses test driven development and unit testing. It begins with an agenda that includes the importance of unit testing, test driven development techniques, and unit testing in .NET and Eclipse. It then covers topics like the definition of a unit, myths about unit testing, how test driven development works in short cycles, and metrics for test usage. Finally, it discusses techniques like common test patterns, using mock objects, and unit testing frameworks like NUnit, MSTest, Moq and features in Visual Studio and Eclipse.
The document discusses unit testing concepts, tools, and best practices. It defines a unit test as code that tests small pieces of functionality in isolation. Well-written unit tests help ensure code meets expectations, avoids regressions, and improves code quality. The document recommends testing practices like writing self-descriptive tests with single responsibilities, avoiding conditionals/loops in tests, using dependency injection/mocks, and separating test and production code.
This was a workshop given on the UTN University, for the Software Engineering students. The idea is to give a brief explanation about TDD, and how to use it.
Test Driven Development, or TDD, is the mainstream in many areas of software development, but what about the database? In this session, we explore TDD, the benefits of automated testing, and how testing data projects differs from other types of development. We introduce the tSQLt testing framework and demonstrate its use with a live coding example. Finally, we will discuss some lessons learned in doing TDD with SQL Server.
Originally presented by Steve Fibich and David Moore at Richmond SQL Server Users Group on January 11, 2018
The document discusses several automated testing tools:
- PHPUnit is a unit testing framework for PHP that allows writing and running automated tests. It helps ensure code quality and finds regressions.
- Selenium is a suite of tools for automating web application testing across browsers and platforms. It includes the Selenium IDE, RC, and Grid.
- Phing is a build system based on Apache Ant for PHP projects. It uses XML build files and PHP tasks to provide an extensible and flexible build framework.
The document discusses the automated testing tools JUnit and Cactus. It outlines some pitfalls of using these tools, such as not using assertions correctly, writing unfocused test methods, and failing to isolate tests. However, it does not mention important drawbacks like the high cost and complexity of distributed testing with Cactus. Alternative tools like HttpUnit may provide simpler web testing without requiring test code on multiple JVMs. While automated testing can save time and money, tools like JUnit and Cactus have limitations and are not perfect for all types of testing.
Test-driven development (TDD) is a software development process where test cases are written before code is produced. The process involves writing a failing test case, producing the minimum amount of code to pass the test, and refactoring the new code. TDD encourages writing automated tests that can be repeatedly executed after small code changes to ensure all tests continue to pass.
Unit Testing & TDD Training for Mobile AppsMarcelo Busico
- The document provides an agenda and overview for a training on unit testing and test-driven development for iOS and Android native apps.
- It covers unit testing concepts like the definition of a unit test, test properties, test structure for different platforms, naming conventions, verification types, and using test doubles.
- Test-driven development is explained as a process of writing tests before code to drive the design. The core TDD process involves adding a test, seeing it fail, writing minimum code to pass the test, and refactoring.
- Guidelines for object-oriented design that facilitates testing are presented, including dependency injection, single responsibility principle, loose coupling, and favoring composition over inheritance.
The document discusses unit testing principles and purposes. It states that unit testing is used to prove that classes work properly in isolation, catch bugs early, enforce high-quality code, and make refactoring safer. Unit testing encourages modular and loosely coupled code. However, it does not replace integration or system testing and not all code can be unit tested. The document also provides examples of when code should be refactored before writing unit tests.
This document provides an introduction to automated testing. It discusses the motivations for automated testing such as improving quality and catching bugs early. It covers basic testing concepts like unit, integration, and system tests. It explains testing principles such as keeping tests independent and focusing on visible behavior. The document also discusses popular testing frameworks for different programming languages and provides examples of tests from a codebase.
Software testing
Developers Belief on Software Testing
Developers Responsibility for testing
Test writing methods
State based testing
Behavioural/interaction based testing
Writing a Testable Code
Flaw 1 - Constructor does Real Work
Flaw 2 - API lies about it's real dependencies
Flaw 3 - Brittle Global State & Singletons
Testing Frameworks and tools for Java...
Mockito and PowerMock...
Testing Models
Stubs Based Testing Model
Mocked Objects Based Testing Model
JUit 4.+ and TestNG
https://www.adroitlogic.com
https://developer.adroitlogic.com
Engineering Student MuleSoft Meetup#4 - API Testing With MuleSoftJitendra Bafna
This document provides an overview of a meetup on testing with MuleSoft. It includes:
- An agenda covering testing overview, unit testing, the Munit test recorder, test best practices, and a demo.
- Information on testing stages like unit, integration, and acceptance testing. It also defines unit testing and the Munit framework.
- Details about creating and running Munit tests in Anypoint Studio, including test recorders, components, and coverage reports.
- Best practices for Munit testing like validating individual components, mocking dependencies, and writing negative test cases.
The document concludes with a trivia quiz and a call for future speaker nominations and feedback.
Unit testing is a method where developers write code to test individual units or components of an application to determine if they are working as intended. The document discusses various aspects of unit testing including:
- What unit testing is and why it is important for finding defects early in development.
- Common unit testing techniques like statement coverage, branch coverage, and path coverage which aim to test all possible paths through the code.
- How unit testing fits into the software development lifecycle and is typically done by developers before handing code over for formal testing.
- Popular unit testing frameworks for different programming languages like JUnit for Java and NUnit for .NET.
The document provides examples to illustrate white box testing techniques
This is an introduction to unit testing using various mocking frameworks. It covers why you should consider using a mocking framework, how to apply mocks in your unit testing, and a high level comparison of various tools for mocking/stub creation. The distinction between mocks and stubs is clearly defined.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
2. What is
Junit?
The JUnit Platform serves as a foundation for
launching testing frameworks on the JVM. It
also defines the TestEngine API for developing
a testing framework that runs on the
platform. Furthermore, the platform provides
a Console Launcher to launch the platform
from the command line and a JUnit 4 based
Runner for running any TestEngine on the
platform in a JUnit 4 based environment.
First-class support for the JUnit Platform also
exists in popular IDEs (see IntelliJ IDEA,
Eclipse, NetBeans, and Visual Studio Code)
and build tools (see Gradle, Maven, and Ant).
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3. Why Junit?
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Developer are write the code for business
functionality and the code will go on production. If
any mishap happens whole functionality will
collapse because of functional testing have not
write. To cover any sudden mishaps we should write
a Junit testing according to, what functionality have
implemented. The Junit framework make it
happens. Each Junit test case is independent and
can write multiple cases for each scenario. In
addition, tests are running concurrently. The
simplicity of Junit make it possible for the software
developer to easily correct bugs as they found. It
will also track the status of the code that was wrote
by somebody else and that tests are not affect by
newly added line. It also reduce the bugs in
delivered code.
• To isolate the each part of the application
• Show each isolated part is correct
6. Basic Annotations
@BeforeClass – Run once before any of the test methods in the class, public static void
@AfterClass – Run once after all the tests in the class have been run, public static void
@Before – Run before @Test, public void
@After – Run after @Test, public void
@Test – This is the test method to run, public void
@Test (expected = Exception.class) – specify the what type exception should catch this test case, public void
@Ignore – This case is not execute it will ignored by TestEngine, public void
@RunWith - Tells JUnit to run using Spring’s testing support, Class level
@PrepareForTest - This annotation tells PowerMock to prepare certain classes for testing, Class level
@PrepareForTest(value = ClazzName.class) - This annotation tells PowerMock to prepare all tests from given
class for testing, Class level
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7. Basic Annotations (Cont.)
@Mock - Is used for mock creation. It makes the test class more readable.
@Spy - Is used to create a spy instance. We can use it instead spy(Object) method.
@InjectMocks - Is used to instantiate the tested object automatically and inject all the @Mock or
@Spy annotated field dependencies into it (if applicable).
@Captor - Is used to create an argument captor
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9. Advantages
• Simple framework for writing automated, self-verifying tests in Java
• Support for test assertion
• Test suite development
• No state sharing
• Immediate test reporting
• Annotations to identify test methods
• It does not required to access the network
• It does not required to hit the database
• Does not use file system
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13. Unit testing best practices
• 5 step
• Execution time – Be fast
• Consistent
• Atomic
• Single responsibility
• Test isolation
• Environment isolation
• Class isolation
• Fully automated
• Self-descriptive
• No conditional logic
• No loop
• No Exception catching
• Assertions
• Informative assertion messages
• No test logic in production code
• Separation per business modules
• Separation per type
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14. 5 steps
• Setup
• Prepare an input
• Call a method
• Check output
• Tear down
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15. Execution time – Be fast
Frequent execution
• Several time per day – [Test After development]
• Several time per Hour –[Test driven development]
• Every few minutes – [IDE – Execution after save]
Execution in group
• 10 tests – execution time x 10
• 100 tests – execution time x 100
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16. Execution time – Be fast (Cont.)
What are good numbers?
Expected average execution time in junit testing:
• Single test – <200ms
• Small suite – <10s
• All test suites – <10 min
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17. Consistent
Multiple invocations of the test should consistently return true or false, provided no changes was
made on code.
How to deal with this?
• Mocks
• Dependency injection
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18. Automatic
• Only two possible results: true or false
• No partially success tests
• A test fails – The whole suite fails
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20. Single responsibilities (Cont.)
• One behaviour, multiple methods One Test
• A method calls private and protected methods
• A method calls very simple public methods
• (Specially, getters, setters, values objects simple constructor)
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21. Test isolation
Test should be independent from one another.
Different execution order - the same results
No state sharing
Instance variables:
• Junit - separated
• TestNG - shared
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22. Environment isolation
Unit test should be isolated from any environmental influence
• Database access
• Web services call
• JDNI lookup
• Environmental variables
• Property files
• System data and time
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28. Classes isolation (Cont.)
Let see the example:
Steps 0: The class under test has no dependency
Step 1: The class is depends on some other
classes
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29. Classes isolation (Cont.)
Step 2: Dependencies of dependencies • Step 3: Dependencies of dependencies of
dependencies
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31. Classes isolation (Cont.)
Solution: Mock the dependency Can be hard if code is not testable:
How to write testable code
• Do not call constructors inside a method.
Use factories of dependency injection
• Use interfaces
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32. Fully Automated
No manual steps involved into testing
• Automated tests execution
• Automated result gathering
• Automated decision making (success or failure)
• Automated result distribution
o Email
o System tray icon
o Dashboard web page
o IDE integration
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33. Self-descriptive
Unit test = development level documentation
Unit test = method specification which is always
up to date
Unit test must be easy to read and understand
• Variable names
• Method names Self-descriptive
• Class names
• No conditional logic
• No loops
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34. No conditional logic
Currently written test contains no “if” or
“switch” statements
No Uncertainty:
All inputs values should be known
Method behaviour should be predictable
Expected output should be strict
One test, multiple conditions
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35. No loops
Case 1: Hundreds of repetition
If some logic in a test has to be repeated hundreds of times, it probably means that the test is too
complicated and should be simplified.
Case 2: A few repetition
Repeating thing several times is OK, but it is better to type a code explicitly without loop. You can
extract the code which needs to be repeated into method and invoke it a few times in a row.
Case 3: Unknown number of repetitions
If you don’t know how many times you want to repeats the code and it makes you difficult to avoid
loops, it’s very likely that your test is incorrect rather focus on specifying more strict input data.
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36. No exception catching
Catch an exception only if its expected
Catch only expected type of an exception
Catch expected exception and call “fail”
method
Let other exceptions go uncatched
Catching expected exception
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37. Assertions
Use various types of assertions provided by a testing framework
Create your own assertions to check more complicated, repetitive conditions
Reuse your assertions methods
Loop inside assertions can be a good practice
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38. Informative assertion messages
By reading an assertion only, one should be able to recognize the problem.
It’s a good practice to include business logic information into messages
Assertion messages:
Improve documentation of the code
Inform about the problem in case of test failure
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39. No test logic in production code
Separate unit tests and production code
Don’t create methods/fields used only by unit tests
Use “dependency Injection”
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40. Separation per business module
Create suites of tests per business modules
Use hierarchical approach
Decrease the execution time of suites by splitting then into smaller ones (Per sub-module)
Small suites can be executed more frequently
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41. Separation per type
Keep unit tests separated from integration tests
Different purpose of execution
Different frequency of execution
Different time of execution
Different action in case of failure
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42. Write test case for controller layer
Annotate the class:
Import common static imports
import static org.hamcrest.Matchers.is;
import static org.junit.Assert.assertEquals;
import static org.springframework.test.web.servlet.request.MockMvcRequestBuilders.delete;
import static org.springframework.test.web.servlet.request.MockMvcRequestBuilders.get;
import static org.springframework.test.web.servlet.request.MockMvcRequestBuilders.post;
import static org.springframework.test.web.servlet.request.MockMvcRequestBuilders.put;
import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.jsonPath;
import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.status;
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43. Write test case for controller layer (Cont.)
Mock the beans
Prepare the input:
Mock the method:
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44. Write test case for controller layer (Cont.)
Call a api:
TearDown
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