● What is Unit Testing?
● Benefits
● What is PHPUnit?
● Installation
● The Bank Account Example
● Categories of (Unit) Tests / Software Testing
Pyramid
● Links
● What is Unit Testing?
● Benefits
● What is Test Driven Development?
● What is Behavior Driven Development?
● Categories of (Unit) Tests / Software Testing
Pyramid, Frameworks
● C++, Java, .NET, Perl, PHP frameworks
● Unit-testing Zend Framework application
The document discusses NUnit, an open source unit testing framework for .NET. It describes what NUnit is, how to install and use it, key concepts like test fixtures and methods, and provides an example of writing unit tests for a calculator class using NUnit's attributes. The document also covers running tests via the NUnit GUI or console, and examining the output XML file for test results.
This document provides an introduction to unit testing using the NUnit framework. It defines unit testing as developer tests that validate code works as expected. Unit tests are part of the construction cycle and sit between technical design and QA testing in the software development lifecycle. Benefits of unit testing include early defect detection, better code design, regression protection, and learning new APIs. The document then describes NUnit attributes that mark test fixtures and methods. It also covers NUnit assertions for verification. Examples are provided of test-driven development and using NUnit for continuous integration.
This document discusses unit testing in Python. It explains that unit tests should be written before code to automatically test inputs and outputs. The code is then written to pass the tests. Tests are implemented by creating test classes that inherit from unittest.TestCase and adding test methods with assert statements. The document provides an example test and steps for creating unit tests, including importing unittest and the code to test.
A workshop to demonstrate how we can write unit tests in python, and how we can refactor jupyter notebooks to be modular and tested.
Code: https://github.com/davified/unit-testing-workshop
This document discusses target platforms in Eclipse and Tycho. It describes how target platforms were managed before and how the target platform concept was introduced to specify dependencies. It also covers editing and using target platforms in Eclipse and Maven builds, sharing target platforms, and some missing concepts like project-specific and compound target platforms. Performance techniques like aggregating repositories and using mirrors are presented. Related topics on sustainable repositories and linking to other repositories are also mentioned.
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.
● What is Unit Testing?
● Benefits
● What is Test Driven Development?
● What is Behavior Driven Development?
● Categories of (Unit) Tests / Software Testing
Pyramid, Frameworks
● C++, Java, .NET, Perl, PHP frameworks
● Unit-testing Zend Framework application
The document discusses NUnit, an open source unit testing framework for .NET. It describes what NUnit is, how to install and use it, key concepts like test fixtures and methods, and provides an example of writing unit tests for a calculator class using NUnit's attributes. The document also covers running tests via the NUnit GUI or console, and examining the output XML file for test results.
This document provides an introduction to unit testing using the NUnit framework. It defines unit testing as developer tests that validate code works as expected. Unit tests are part of the construction cycle and sit between technical design and QA testing in the software development lifecycle. Benefits of unit testing include early defect detection, better code design, regression protection, and learning new APIs. The document then describes NUnit attributes that mark test fixtures and methods. It also covers NUnit assertions for verification. Examples are provided of test-driven development and using NUnit for continuous integration.
This document discusses unit testing in Python. It explains that unit tests should be written before code to automatically test inputs and outputs. The code is then written to pass the tests. Tests are implemented by creating test classes that inherit from unittest.TestCase and adding test methods with assert statements. The document provides an example test and steps for creating unit tests, including importing unittest and the code to test.
A workshop to demonstrate how we can write unit tests in python, and how we can refactor jupyter notebooks to be modular and tested.
Code: https://github.com/davified/unit-testing-workshop
This document discusses target platforms in Eclipse and Tycho. It describes how target platforms were managed before and how the target platform concept was introduced to specify dependencies. It also covers editing and using target platforms in Eclipse and Maven builds, sharing target platforms, and some missing concepts like project-specific and compound target platforms. Performance techniques like aggregating repositories and using mirrors are presented. Related topics on sustainable repositories and linking to other repositories are also mentioned.
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.
Automated Testing for Embedded Software in C or C++Lars Thorup
This document discusses automated testing for embedded C software. It introduces Lars Thorup and provides an agenda for the document. It then defines automated testing, describes the Unity testing framework for embedded C, and provides an example of how to handle dependencies in testing. It advocates for continuous integration, breaking dependencies through abstraction and injection, and explains how automated testing can improve software quality through faster development and preventing bugs.
This presentation walks the reader through implementing a simple web application and its tests using Python, Flask, and the Pytest testing framework. Emphasis is placed on following the process of test-driven development (TDD) in creating the application.
This document discusses unit testing ILE procedures in IBM i. It introduces unit testing as a way to identify bugs early and test code as it is written. It outlines how to create a test script in RPG that calls the procedures being tested and produces a report of the inputs, expected outputs, and actual results. The document provides terminology for different types of testing and guidelines for compiling test scripts separately from production code. It emphasizes that unit testing should be integrated into the development process.
This document provides an overview of the Python unittest module for writing and running automated tests. It discusses how the unittest.TestCase class is used to define test classes with methods named "test_" that contain assertions. The unittest module then handles running the tests and provides features like test organization, discovery of test methods, and integration with other tools.
Learn why you should put your blackbox (or system/integration) tests into Docker Containers.
Brief (remedial) overview of Docker for software testers who don't know docker, and only need to know the basics to wrap their regression tests inside of a container.
Stopping the Rot - Putting Legacy C++ Under TestSeb Rose
The document discusses introducing unit testing to legacy C++ code. It covers choosing a testing framework, writing initial tests and mocks, and various refactoring techniques like wrapping dependencies, extracting components, and adding non-intrusive C seams to facilitate testing. The goal is to incrementally make the code more testable while maintaining functionality through practices like test-driven development.
This document discusses using JUnit to automate unit testing of RPG code on an IBM iSeries system. It provides an overview of the benefits of automated testing and outlines the steps to set up the infrastructure for testing, including creating Java and RPG modules, compiling the code, and running tests. Sample code is provided for a simple math module and test. The document recommends automating the testing process through a shell script to run compilation and tests.
Unit testing is used to test individual units or components of code. The document discusses installing PHPUnit and configuring it using XML. It recommends a project directory structure with separate src and tests folders. Writing unit tests involves extending the TestCase class and prefixing test methods with "test". Common assertions include assertTrue, assertFalse, assertEquals. Annotations like @depends and @dataProvider can parameterize tests. Best practices include independent, focused tests that are maintained alongside code changes.
Unit Testing with NUnit introduces unit testing and the NUnit testing framework. It demonstrates writing basic tests for a method that finds the closest number in an array to a given input. The document emphasizes that unit testing leads to code that is easier to change and improve, as tests allow refactoring without breaking existing functionality. It also notes that code should be designed and structured to facilitate testing, and legacy code without tests is difficult to refactor safely.
This document discusses using GoogleTest as a C++ unit testing framework. It provides an overview of GoogleTest features such as assertion-rich testing, test fixtures, test result reporting, and parameterized/data-driven tests. It also demonstrates how to set up a sample project in Visual Studio to write and run tests using GoogleTest, including features like type assertions, death tests, and test filtering.
A brief introduction about the art of unit test, how to test a class, mock a collaborator and use a fake database. TDD is introduced. Code for exercises is available on github along with a detailed explanation. Examples and exercises are written in Java.
The document discusses unit testing and provides examples of unit tests for different types of code including:
- A simple unit test for a "User" class that tests getter and setter methods.
- A more complex unit test for a "UserManager" class that tests for exceptions when saving duplicate users.
- A database unit test using the DBUnit framework to test saving a user object to the database and validating the expected data.
Apache maven, a software project management toolRenato Primavera
This document discusses Apache Maven, an open-source tool for managing software projects and automating common software project tasks such as compiling source code, running tests, packaging, and deploying artifacts. It describes how Maven uses a Project Object Model (POM) file to manage a project's build, reporting and documentation from a central configuration. It also outlines key Maven concepts like the POM, lifecycles, phases, dependencies, repositories, inheritance, and multi-module 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.
The document discusses automated testing in Python and other languages. It covers unit testing, how unit tests work in Python using the unittest module, the benefits of testing like refactoring with confidence and faster debugging. It also briefly mentions test frameworks for other languages like Java, Perl, PHP and Erlang. The key themes are that testing finds bugs, helps refactor code safely, and that when frameworks have shortcomings the better approach is to help fix them rather than starting new ones.
Introduction to JUnit testing in OpenDaylightOpenDaylight
This document discusses JUnit testing frameworks for developers. It describes the goals of unit and integration testing using JUnit. It provides an overview of basic JUnit annotations like @Test and @Before. It also discusses three Maven plugins for unit, integration, and OSGi testing. Finally, it provides an example of using Mockito to mock dependencies in JUnit tests.
Unit test in drupal 8 by Pratomo Ardianto Drupalcamp Cebu 2018Promet Source
This document discusses unit testing in Drupal 8. It explains that unit testing in Drupal 7 used Simpletest, while Drupal 8 uses PHPUnit. There are different types of tests like unit, kernel, and functional tests. It outlines how to set up the test directory and code for unit testing in Drupal 8, and how to run the tests both from the user interface and command line. The document also includes references for more information on testing in Drupal 8.
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.
● PHP and the OWASP Top Ten Security
Vulnerabilities
● Secure Programming With The Zend
Framework
● Apache HTTPD
Security
● MySQL Security
● PHP Security Tools
Чому це важливо?
Життєвий цикл. Наука відладки. Помилки
Приклад відладки. Процес
Розуміння помилок. Поведінка. Серйозність.
Пріорітет. Додаткові атрибути
Ізоляція. Аналіз. Рішення
Тестування. Неоптимальний процес
Попередження
Automated Testing for Embedded Software in C or C++Lars Thorup
This document discusses automated testing for embedded C software. It introduces Lars Thorup and provides an agenda for the document. It then defines automated testing, describes the Unity testing framework for embedded C, and provides an example of how to handle dependencies in testing. It advocates for continuous integration, breaking dependencies through abstraction and injection, and explains how automated testing can improve software quality through faster development and preventing bugs.
This presentation walks the reader through implementing a simple web application and its tests using Python, Flask, and the Pytest testing framework. Emphasis is placed on following the process of test-driven development (TDD) in creating the application.
This document discusses unit testing ILE procedures in IBM i. It introduces unit testing as a way to identify bugs early and test code as it is written. It outlines how to create a test script in RPG that calls the procedures being tested and produces a report of the inputs, expected outputs, and actual results. The document provides terminology for different types of testing and guidelines for compiling test scripts separately from production code. It emphasizes that unit testing should be integrated into the development process.
This document provides an overview of the Python unittest module for writing and running automated tests. It discusses how the unittest.TestCase class is used to define test classes with methods named "test_" that contain assertions. The unittest module then handles running the tests and provides features like test organization, discovery of test methods, and integration with other tools.
Learn why you should put your blackbox (or system/integration) tests into Docker Containers.
Brief (remedial) overview of Docker for software testers who don't know docker, and only need to know the basics to wrap their regression tests inside of a container.
Stopping the Rot - Putting Legacy C++ Under TestSeb Rose
The document discusses introducing unit testing to legacy C++ code. It covers choosing a testing framework, writing initial tests and mocks, and various refactoring techniques like wrapping dependencies, extracting components, and adding non-intrusive C seams to facilitate testing. The goal is to incrementally make the code more testable while maintaining functionality through practices like test-driven development.
This document discusses using JUnit to automate unit testing of RPG code on an IBM iSeries system. It provides an overview of the benefits of automated testing and outlines the steps to set up the infrastructure for testing, including creating Java and RPG modules, compiling the code, and running tests. Sample code is provided for a simple math module and test. The document recommends automating the testing process through a shell script to run compilation and tests.
Unit testing is used to test individual units or components of code. The document discusses installing PHPUnit and configuring it using XML. It recommends a project directory structure with separate src and tests folders. Writing unit tests involves extending the TestCase class and prefixing test methods with "test". Common assertions include assertTrue, assertFalse, assertEquals. Annotations like @depends and @dataProvider can parameterize tests. Best practices include independent, focused tests that are maintained alongside code changes.
Unit Testing with NUnit introduces unit testing and the NUnit testing framework. It demonstrates writing basic tests for a method that finds the closest number in an array to a given input. The document emphasizes that unit testing leads to code that is easier to change and improve, as tests allow refactoring without breaking existing functionality. It also notes that code should be designed and structured to facilitate testing, and legacy code without tests is difficult to refactor safely.
This document discusses using GoogleTest as a C++ unit testing framework. It provides an overview of GoogleTest features such as assertion-rich testing, test fixtures, test result reporting, and parameterized/data-driven tests. It also demonstrates how to set up a sample project in Visual Studio to write and run tests using GoogleTest, including features like type assertions, death tests, and test filtering.
A brief introduction about the art of unit test, how to test a class, mock a collaborator and use a fake database. TDD is introduced. Code for exercises is available on github along with a detailed explanation. Examples and exercises are written in Java.
The document discusses unit testing and provides examples of unit tests for different types of code including:
- A simple unit test for a "User" class that tests getter and setter methods.
- A more complex unit test for a "UserManager" class that tests for exceptions when saving duplicate users.
- A database unit test using the DBUnit framework to test saving a user object to the database and validating the expected data.
Apache maven, a software project management toolRenato Primavera
This document discusses Apache Maven, an open-source tool for managing software projects and automating common software project tasks such as compiling source code, running tests, packaging, and deploying artifacts. It describes how Maven uses a Project Object Model (POM) file to manage a project's build, reporting and documentation from a central configuration. It also outlines key Maven concepts like the POM, lifecycles, phases, dependencies, repositories, inheritance, and multi-module 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.
The document discusses automated testing in Python and other languages. It covers unit testing, how unit tests work in Python using the unittest module, the benefits of testing like refactoring with confidence and faster debugging. It also briefly mentions test frameworks for other languages like Java, Perl, PHP and Erlang. The key themes are that testing finds bugs, helps refactor code safely, and that when frameworks have shortcomings the better approach is to help fix them rather than starting new ones.
Introduction to JUnit testing in OpenDaylightOpenDaylight
This document discusses JUnit testing frameworks for developers. It describes the goals of unit and integration testing using JUnit. It provides an overview of basic JUnit annotations like @Test and @Before. It also discusses three Maven plugins for unit, integration, and OSGi testing. Finally, it provides an example of using Mockito to mock dependencies in JUnit tests.
Unit test in drupal 8 by Pratomo Ardianto Drupalcamp Cebu 2018Promet Source
This document discusses unit testing in Drupal 8. It explains that unit testing in Drupal 7 used Simpletest, while Drupal 8 uses PHPUnit. There are different types of tests like unit, kernel, and functional tests. It outlines how to set up the test directory and code for unit testing in Drupal 8, and how to run the tests both from the user interface and command line. The document also includes references for more information on testing in Drupal 8.
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.
● PHP and the OWASP Top Ten Security
Vulnerabilities
● Secure Programming With The Zend
Framework
● Apache HTTPD
Security
● MySQL Security
● PHP Security Tools
Чому це важливо?
Життєвий цикл. Наука відладки. Помилки
Приклад відладки. Процес
Розуміння помилок. Поведінка. Серйозність.
Пріорітет. Додаткові атрибути
Ізоляція. Аналіз. Рішення
Тестування. Неоптимальний процес
Попередження
● Що таке Continuous Integration?
● Jenkins (Oracle Hudson)
● Установка Jenkins (Ubuntu Server)
● Створення завдання на прикладі Java
● Інструменти статичного аналізу
● Sonar. Установка. Аналітика.
This document provides an overview of web application security. It discusses why security is important for web applications and outlines common security threats. It then covers topics like designing secure applications, building them securely, and assessing security. Design considerations include input validation, authentication, authorization, and session management. Building securely involves role-based access control, exception handling, and cryptography. Assessment involves testing for vulnerabilities like injection flaws and broken authentication.
● Що таке ITIL (коротко)?
● Що таке сервіс (service)?
● Сучасні проблеми керівників та менеджерів
● Що таке ITSM?
● Що таке ITIL (детально)?
● Стратегія сервісу, Дизайн сервісу,
Перехід(зміни) сервісу, Надання(робота)
сервісу, Постійне вдосконалення сервісу
● Відповідні стандарти та джерела
● Резюме
• Що таке continuous integration (CI)?
• Побудова фічі з CI
• Практики та Переваги
• Впровадження
• Інструменти
• Приклади проектів -
Java, PHP, Android
• Висновки
What is continuous integration?
Building a feature with continuous integration
Practices of continuous integration
Benefits of continuous integration
Introducing continuous integration
Final thoughts
Continuous integration tools
• Хто ми є
• Agile і методології/Принципи Lean
• Коротко про Kanban
• Інструменти та процес
• Експерименти з обмеженнями
• Команди та рівномірне навантаження
• Приклад Канбан-процесу
• Дошки, картки, персоналізація, діаграми
• Резюме та посилання
Типи баз даних
● Реляційні бази даних (OLTP)
● Обробка транзакцій (ACID)
● Database-centric архітектура
● Моделювання даних. Узгодження іменування
● Нормалізація та денормалізація
● Індексування. Найкращі практики
● Що таке "цикл зворотнього зв'язку"?
● Цикли зворотнього зв'язку у eXtreme
Programming
● Зміцнення та скорочення циклу
зворотнього зв'язку
● Декларація взаємозалежності
● Запитання та обговорення
This document provides an overview of LDAP (Lightweight Directory Access Protocol). It discusses what directory services are, the need for LDAP to centralize user information, and some key LDAP concepts like its data model, schemas, and LDIF format. It also covers setting up an OpenLDAP server, including configuration, indexing, access control, and integration with other LDAP tools and applications.
phpunit is testing framework for php testing.
A browser is able to give the syntax error but what if in case of some logical error.
Phpunit testing enables you to check your logic.
It is fully object oriented framework.
It also can be enabled in Netbeans.
you can find the option of phpunit testing in Netbeans
This document introduces unit testing with PHPUnit. It discusses what unit testing is, why it's important, and tools like SimpleTest and PHPUnit. It provides examples of basic unit tests for a HelloWorld class using PHPUnit. It also covers more advanced testing techniques like data providers, expected exceptions, fixtures, doubles, mocks, stubs, and database testing using examples like testing a BankAccount class. The document provides hints and tips for unit testing MVC frameworks like Zend Framework.
This document discusses unit testing PHP code with PHPUnit. It begins with an introduction to the speaker and then covers why testing is important, how to get started with PHPUnit, writing basic tests for a sample class, using features like data providers and expecting exceptions, and more advanced topics like stubs, mocks and testing databases and Zend Framework applications. The overall message is that testing is crucial for any PHP project and PHPUnit makes it easy to start writing tests.
Presentation showing that writing tests is not really hard with examples on testing a simple class, testing with dataproviders, fixtures, mocks, stubs, databases and how to use zend framework bootstrap for MVC testing.
Given at php|tek 09 unconf sessions.
Unit testing is important for code quality and confidence. PHPUnit is the standard unit testing framework for PHP. It allows developers to write tests using assertions, data providers, exceptions handling, fixtures for setup and teardown, and database testing. PHPUnit works with all PHP IDEs and frameworks and provides code coverage reports. It can be installed via PEAR or Composer.
Leveling Up With Unit Testing - LonghornPHP 2022Mark Niebergall
Writing unit testing on a project can seem like a daunting task, and earning team and leadership buy-in can be challenging. Level up your skillset as we cover PHPUnit and Prophecy setup with composer, writing meaningful tests, restructuring existing classes with dependency injection to allow for unit testing, using mock objects, and releasing code confidently with test coverage. We'll also discuss overcoming common biases, unit testing challenges, and shortcomings of unit testing.
This document provides an introduction and overview of PHPUnit, a tool for writing and running unit tests for PHP code. It discusses why unit testing and PHPUnit are useful, how to install and run PHPUnit, and best practices for writing effective unit tests with PHPUnit including describing tests clearly, using specific assertions, and decoupling test code and data. The document also addresses using PHPUnit for legacy code and references additional resources.
This document provides an introduction and overview of unit testing in PHP. It discusses what unit testing is, the benefits of unit testing, and some key aspects of unit testing like test isolation, automation, and speed. It also introduces the PHPUnit testing framework as the de facto standard for PHP unit testing. Examples are provided of unit testing a multiplication function with PHPUnit by creating test cases to assert expected outcomes. The document also discusses differences between unit testing and integration testing and refactoring code to be more testable through techniques like dependency injection.
EPHPC Webinar
Unit Testing
Merangkak Menuju Pengembangan Aplikasi PHP yang Berkualitas dan Tahan Banting.
Date: Wednesday, April 6, 2011
Time: 1:00 pm, Bangkok Time (Bangkok, GMT+07:00)
Fighting Fear-Driven-Development With PHPUnitJames Fuller
This talk was designed for PHP developers with limited or no experience in unit testing. I focus on describing the problem of fear-driven-development, and how test-driven-development can be used to improve the quality of your code.
PHPUnit is a unit testing framework for PHP that allows developers to write and run automated tests to validate that sections of code are working properly. A unit test verifies that a specific part of a program performs as expected. PHPUnit makes it possible to mock external dependencies to isolate units for testing. It provides assertions to validate test outcomes and facilities for running tests and reporting results.
This document discusses PHPUnit, an automated testing framework for PHP. It begins by explaining what automated testing with PHPUnit means - writing test code fragments called unit tests that automatically check parts of software code for correctness. It then provides examples of converting print-based tests to automated tests using PHPUnit assertions. The document outlines how to write tests with PHPUnit by creating test classes that extend the base test case and contain test methods. It also covers running tests from the command line, marking tests as incomplete or skipped, using fixtures, and extensions for testing exceptions, output and performance. Finally, it discusses advantages like confidence in code and fast feedback, and disadvantages like an initial learning curve.
The document discusses integration testing in Magento 2. It explains that integration tests show how different parts of a system work together. It provides examples of integration test annotations like @magentoDbIsolation and @magentoConfigFixture that change test behavior. It also gives examples of integration tests, such as testing that a non-existing category returns a 404, saving and loading an entity, and inserting a block into the product view page. The document emphasizes that integration tests are not the only tests needed, and are used to check if code works as expected with the environment.
Leveling Up With Unit Testing - php[tek] 2023Mark Niebergall
Unit testing provides several benefits for PHP projects, including automating regression testing, enabling continuous integration and deployment, and increasing confidence when refactoring code. The talk reviewed how to set up PHPUnit and write unit tests, focusing on best practices like dependency injection, mocking, and testing edge cases. It also demonstrated how to refactor legacy code to be more testable by extracting dependencies and following SOLID principles. The discussion covered topics like convincing teammates and managers of unit testing's value as well as challenges of testing legacy code.
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.
This document provides an overview of test driven development with PHPUnit. It discusses what unit testing is, the benefits of testing, and how to get started with PHPUnit. Key topics covered include writing tests, assertions, dependencies, data providers, testing errors and exceptions, fixtures, and database testing. The document also mentions test output, incomplete/skipped tests, test doubles, code coverage analysis, and the skeleton generator.
This document provides an overview of automated unit testing in PHP. It discusses what unit testing is, why it is important, what should be tested, when to test, and how to set up and run tests using PHPUnit. Key points include:
- Unit testing validates individual units of source code. Each test should test a single function or class.
- Tests should be run early and often to catch bugs early in development.
- PHPUnit is a popular PHP testing framework that allows creating and running automated tests. It provides assertions, fixtures, and other features to test code.
- Tests can be organized into test suites and run via the command line or configured via an XML file. Groups allow filtering tests to
- Unit testing involves writing code to test individual units or components of an application to ensure they perform as expected.
- The document discusses setting up a unit testing framework for WordPress plugins and themes using PHPUnit and WP-CLI. It provides steps to generate initial test files and install dependencies to support unit testing.
- Examples of writing unit tests are given, including how to structure tests with assertions to validate the behavior of functions and methods. Maintaining well-organized test files and cases is important for an effective testing suite.
This document outlines an agenda for presenting on software testing. It discusses the importance of testing code, different types of tests like unit tests, integration tests and acceptance tests. It also introduces the PHPUnit testing framework and how to write tests in PHPUnit. Specific techniques like test doubles and test-driven development are explained. Frameworks for testing code in Zend and CakePHP are also briefly mentioned.
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...GlobalLogic Ukraine
Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck?
Відео та деталі заходу: https://bit.ly/45tILxj
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
ScyllaDB is making a major architecture shift. We’re moving from vNode replication to tablets – fragments of tables that are distributed independently, enabling dynamic data distribution and extreme elasticity. In this keynote, ScyllaDB co-founder and CTO Avi Kivity explains the reason for this shift, provides a look at the implementation and roadmap, and shares how this shift benefits ScyllaDB users.
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Getting the Most Out of ScyllaDB Monitoring: ShareChat's TipsScyllaDB
ScyllaDB monitoring provides a lot of useful information. But sometimes it’s not easy to find the root of the problem if something is wrong or even estimate the remaining capacity by the load on the cluster. This talk shares our team's practical tips on: 1) How to find the root of the problem by metrics if ScyllaDB is slow 2) How to interpret the load and plan capacity for the future 3) Compaction strategies and how to choose the right one 4) Important metrics which aren’t available in the default monitoring setup.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Introducing BoxLang : A new JVM language for productivity and modularity!Ortus Solutions, Corp
Just like life, our code must adapt to the ever changing world we live in. From one day coding for the web, to the next for our tablets or APIs or for running serverless applications. Multi-runtime development is the future of coding, the future is to be dynamic. Let us introduce you to BoxLang.
Dynamic. Modular. Productive.
BoxLang redefines development with its dynamic nature, empowering developers to craft expressive and functional code effortlessly. Its modular architecture prioritizes flexibility, allowing for seamless integration into existing ecosystems.
Interoperability at its Core
With 100% interoperability with Java, BoxLang seamlessly bridges the gap between traditional and modern development paradigms, unlocking new possibilities for innovation and collaboration.
Multi-Runtime
From the tiny 2m operating system binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, Web Assembly, Android and more. BoxLang has been designed to enhance and adapt according to it's runnable runtime.
The Fusion of Modernity and Tradition
Experience the fusion of modern features inspired by CFML, Node, Ruby, Kotlin, Java, and Clojure, combined with the familiarity of Java bytecode compilation, making BoxLang a language of choice for forward-thinking developers.
Empowering Transition with Transpiler Support
Transitioning from CFML to BoxLang is seamless with our JIT transpiler, facilitating smooth migration and preserving existing code investments.
Unlocking Creativity with IDE Tools
Unleash your creativity with powerful IDE tools tailored for BoxLang, providing an intuitive development experience and streamlining your workflow. Join us as we embark on a journey to redefine JVM development. Welcome to the era of BoxLang.
Introducing BoxLang : A new JVM language for productivity and modularity!
Php unit (eng)
1. PHPUnit
● What is Unit Testing?
● Benefits
● What is PHPUnit?
● Installation
● The Bank Account Example
● Categories of (Unit) Tests / Software Testing
Pyramid
● Links
2. What is Unit Testing?
● In computer programming, unit testing is a method by which
individual units of source code are tested to determine if they
are fit for use. A unit is the smallest testable part of an
application. In procedural programming a unit may be an
individual function or procedure. Unit tests are created by
programmers or occasionally by white box testers.
● Ideally, each test case is independent from the others:
substitutes like method stubs, mock objects, fakes and test
harnesses can be used to assist testing a module in
isolation. Unit tests are typically written and run by software
developers to ensure that code meets its design and
behaves as intended. Its implementation can vary from
being very manual (pencil and paper) to being formalized as
part of build automation
3. Benefits
The goal of unit testing is to isolate each part of the program and
show that the individual parts are correct. A unit test provides a
strict, written contract that the piece of code must satisfy. As a
result, it affords several benefits. Unit tests find problems early in
the development cycle.
● Facilitates change (refactor, regression, etc.)
● Simplifies integration (parts, sum & integration)
● Documentation (live, understand API)
● Design (TDD, no formal design, design element)
4. What is PHPUnit?
● PHPUnit is the de-facto standard for unit testing
in PHP projects. It provides both a framework
that makes the writing of tests easy as well as
the functionality to easily run the tests and
analyse their results.
● Part of xUnit family, created by Sebastian
Bergmann, integrated & supported by Zend
Studio/Framework.
● Simple installation with PEAR
5. Installation
● PHPUnit should be installed using the PEAR Installer. This installer is
the backbone of PEAR, which provides a distribution system for PHP
packages, and is shipped with every release of PHP since version
4.3.0.
● The PEAR channel (pear.phpunit.de) that is used to distribute
PHPUnit needs to be registered with the local PEAR environment.
Furthermore, components that PHPUnit depends upon are hosted on
additional PEAR channels.
pear channel-discover pear.phpunit.de
pear channel-discover components.ez.no
pear channel-discover pear.symfony-project.com
● This has to be done only once. Now the PEAR Installer can be used to
install packages from the PHPUnit channel:
pear install phpunit/PHPUnit
● After the installation you can find the PHPUnit source files inside
your local PEAR directory; the path is usually /usr/lib/php/PHPUnit.
6. The Bank Account Example
<?php
class BankAccount
{
protected $balance = 0;
public function getBalance()
{
return $this->balance;
}
protected function setBalance($balance)
{
if ($balance>=0) {
$this->balance = $balance;
} else {
throw new BankAccountException;
}
}
public function depositMoney($balance)
{
$this->setBalance($this->getBalance() + $balance);
return $this->getBalance();
}
public function withdrawMoney($balance)
{
$this->setBalance($this->getBalance() - $balance);
return $this->getBalance();
}
}
7. Bank Account Test
<?php
require_once 'BankAccount.php';
class BankAccountTest extends PHPUnit_Framework_TestCase
{
public function testBalanceIsInitiallyZero()
{
$ba = new BankAccount;
$this->assertEquals(0, $ba->getBalance());
}
}
9. The setUp() template method
<?php
require_once 'BankAccount.php';
class BankAccountTest extends PHPUnit_Framework_TestCase
{
protected $ba;
public function setUp()
{
$this->ba = new BankAccount
}
public function testBalanceIsInitiallyZero()
{
$this->assertEquals(0, $this->ba->getBalance());
}
}
10. More Tests...
<?php
require_once 'BankAccount.php';
class BankAccountTest extends PHPUnit_Framework_TestCase
{
// ...
public function testBalanceCannotBecomeNegative()
{
try {
$this->ba->withdrawMoney(1);
} catch (BankAccountException $e) {
$this->assertEquals(0, $this->ba->getBalance());
return;
}
$this->fail();
}
}
11. Even More Tests...
<?php
require_once 'BankAccount.php';
class BankAccountTest extends PHPUnit_Framework_TestCase
{
// ...
public function testBalanceCannotBecomeNegative2()
{
try {
$this->ba->withdrawMoney(-1);
} catch (BankAccountException $e) {
$this->assertEquals(0, $this->ba->getBalance());
return;
}
$this->fail();
}
}
12. More and More Tests...
<?php
require_once 'BankAccount.php';
class BankAccountTest extends PHPUnit_Framework_TestCase
{
// ...
public function testDepositingAndWithdrawingMoneyWorks()
{
$this->assertEquals(0, $this->ba->getBalance());
$this->ba->depositMoney(1);
$this->assertEquals(1, $this->ba->getBalance());
$this->ba->withdrawMoney(1);
$this->assertEquals(0, $this->ba->getBalance());
}
}
14. Categories of (Unit) Tests
● Small: Unit Tests
● Check conditional logic in the code
● A debugger should not be required in case of failure
● Medium: Functional Tests
● Check whether the interfaces between classes
abide by their contracts
● Large: End-to-End Tests
● Check for “wiring bugs”