Learn how to guarantee the quality of your Plone site using the Funittest functional test stack. Funittest uses Selenium Remote Control to run in-browser acceptance tests. Funittest contains scripted acceptance tests, use case scenarios and domain-specific vocabularies covering a wide range of actions a user can perform in a Plone site. Given the extensive library of reusable scripts, verbs, scenarios and tests, you will find that test driven development becomes a lot of fun with Funittest, and you will find it easy to extend the functional test stack when appropriate.
Parasoft delivers a complete framework to create, manage, and extract greater value from unit tests. We help you exercise and test an incomplete system—enabling you to identify problems when they are least difficult, costly, and time-consuming to fix. This reduces the length and cost of downstream processes such as debugging. Moreover, since all tests are written at the unit level, the test suite can be run independent of the complete system. This allows you to isolate code behavior changes, reduces setup complexities, and makes it practical to execute the test suite on a daily basis.
Tim Stollenwerk discussed various types of testing for Plone projects, including unit, integration, and functional testing. He emphasized that testing is important for creating robust code, improving code understanding, providing proof of requirements, and cheaper bug fixing. He demonstrated examples of unit tests using the unittest framework, integration tests across components, and functional tests using zope.testbrowser. Regular testing and code coverage tools help ensure code quality and catch errors.
The document provides an overview of Plone testing tools and techniques presented by Jordan Baker at the Plone Conference 2009 in Budapest. It discusses the goals of testing code for robustness and quality, and provides examples of unit, integration, and functional testing using tools like unittest and PloneTestCase. Key aspects covered include writing tests first, following the testing pyramid approach, and using tools like Roadrunner to speed up integration tests.
This document provides an introduction to unit testing in Python and the Pytest framework. It discusses writing unit test code using the unittest framework and Pytest, how to test functions and handle failures. It also covers features of Pytest like skipping and expected failures, fixture setup/teardown, and distributed testing using the xdist plugin.
This document provides an overview of PowerShell and discusses its usefulness for testing. It includes the following sections: Introduction, Features, Real World Examples, For Testers, and Message for Testers.
The introduction explains that PowerShell is both a command shell and scripting environment from Microsoft that provides benefits for systems administrators over GUI tools.
The features section outlines some of PowerShell's additional capabilities compared to command prompts, including variables, conditional logic, loops, functions, and interacting with objects.
Real world examples provide a website for using PowerShell for testing and a CodePlex project for automating tests using PowerShell.
The section for testers highlights resources like a blog and project for using Power
Parasoft delivers a complete framework to create, manage, and extract greater value from unit tests. We help you exercise and test an incomplete system—enabling you to identify problems when they are least difficult, costly, and time-consuming to fix. This reduces the length and cost of downstream processes such as debugging. Moreover, since all tests are written at the unit level, the test suite can be run independent of the complete system. This allows you to isolate code behavior changes, reduces setup complexities, and makes it practical to execute the test suite on a daily basis.
Tim Stollenwerk discussed various types of testing for Plone projects, including unit, integration, and functional testing. He emphasized that testing is important for creating robust code, improving code understanding, providing proof of requirements, and cheaper bug fixing. He demonstrated examples of unit tests using the unittest framework, integration tests across components, and functional tests using zope.testbrowser. Regular testing and code coverage tools help ensure code quality and catch errors.
The document provides an overview of Plone testing tools and techniques presented by Jordan Baker at the Plone Conference 2009 in Budapest. It discusses the goals of testing code for robustness and quality, and provides examples of unit, integration, and functional testing using tools like unittest and PloneTestCase. Key aspects covered include writing tests first, following the testing pyramid approach, and using tools like Roadrunner to speed up integration tests.
This document provides an introduction to unit testing in Python and the Pytest framework. It discusses writing unit test code using the unittest framework and Pytest, how to test functions and handle failures. It also covers features of Pytest like skipping and expected failures, fixture setup/teardown, and distributed testing using the xdist plugin.
This document provides an overview of PowerShell and discusses its usefulness for testing. It includes the following sections: Introduction, Features, Real World Examples, For Testers, and Message for Testers.
The introduction explains that PowerShell is both a command shell and scripting environment from Microsoft that provides benefits for systems administrators over GUI tools.
The features section outlines some of PowerShell's additional capabilities compared to command prompts, including variables, conditional logic, loops, functions, and interacting with objects.
Real world examples provide a website for using PowerShell for testing and a CodePlex project for automating tests using PowerShell.
The section for testers highlights resources like a blog and project for using Power
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.
Oh so you test? - A guide to testing on Android from Unit to MutationPaul Blundell
Everyone knows you need testing, but what are the different types of testing, how will each type benefit you and what libraries are available to ease the pain? This talk will run through an explanation of each type of testing (unit, integration, functional, acceptance, fuzz, mutation...) explaining upon each level of an Android app, the testing involved, how this will benefit you and how it will benefit your users. It will also explain the architecture of a well tested app. Finally ending with some examples and libraries that ease your accessibility into testing and help with faster more descriptive feedback.
Software construction is an exercise in managing complexity, more so with the spiralling complexity required by modern games. Automated Testing is an industry proven methodology to deliver more reliable complex software, with a fighting chance to do it on time and on budget. And having fun doing so. Crytek is spearheading this idea in the game industry with its flagship title, and now sharing the experience with you: best practices, potential pitfalls, To-Do’s and No-No’s will be shown with real examples of unit testing game code using its proprietary testing framework and tools. Functional Testing and acceptance testing will also be touched on as a viable way of describing and checking game design requirements. And take automated testing to the next level.
Unit testing with JUnit focuses on testing individual units of source code using JUnit. Key aspects covered include:
- Unit testing tests the smallest testable parts of code, while integration testing tests groups of code modules and system testing tests complete integrated systems.
- Tests in JUnit are implemented as public void testX() methods that call methods under test and assert expected outcomes.
- A test suite assembles individual test methods using reflection and executes the suite to automatically run all tests.
- Best practices include writing tests before code, testing all code that could break, and running tests frequently for rapid feedback.
Join core JUnit 5 committer Sam Brannen to gain insight on the latest new features in JUnit 5 as well as what’s on the horizon.
In this presentation we will look at exciting new features that have been added in JUnit 5 over the past year, including temporary directories, custom display name generators, method ordering, timeouts, the Test Kit, and powerful new extension APIs. If you haven't yet made the switch from JUnit 4 to JUnit 5 you will definitely want to check out this presentation.
In closing, Sam will also provide a few tips on how to use JUnit Jupiter to test Spring and Spring Boot apps.
The document summarizes a presentation on testing in Java given by David Noble. The presentation covered test-driven development concepts and practices, common testing terminology, popular tools for different types of testing, and resources for learning more. It included a demonstration of test-driven development using an open source medical records system. The goal was to motivate excellence in testing through concepts, practices and tools discussed.
Unit testing involves writing code to test individual units or components of an application to ensure they operate as intended. A unit test targets a specific function or class and ensures the code works correctly. A test suite is a collection of test cases that test a module. Frameworks like JUnit simplify the unit testing process and allow for test automation. JUnit tests are created in the same project structure with a "Test" suffix and use annotations to define test cases and suites. Tests can then be run and results analyzed to measure code coverage.
Testes? Mas isso não aumenta o tempo de projecto? Não quero...Comunidade NetPonto
Os Testes são cada vez mais uma necessidade nos projectos de desenvolvimento de software... Sejam eles unitários, de carga ou de "User Interface", uma boa framework de testes ajuda a resolver os problemas mais cedo, de forma mais eficaz e mais barata.
No final da sessão vamos perceber não só para que servem, como são feitos e como o Visual Studio 2010 pode ajudar.
1) The document provides solutions to common issues in QuickTest Professional (QTP), including how to add constants to a datatable, check if a parameter or checkpoint exists, validate checkpoints without failing tests, and the difference between actions and functions.
2) It also discusses when to use recovery scenarios versus error handling, how to use environment variables, the files in a QTP test, and how to rename checkpoints.
3) Finally, it addresses questions about browser support, resolving issues with Windows Media Player when running QTP, the purpose of the lservrc file, and ensuring QTP can run from Quality Center.
Unit testing with PHPUnit - there's life outside of TDDPaweł Michalik
Basics of PHPUnit and why is it even more relevant in legacy code. Key points of the framework are explained, along with mocking objects, test organisation, creating documentations with tests and accessing non-public objects (where applicable).
Live version with additional notes available at: http://pawelmichalik.net/presentations/unit-testing-with-phpunit?showNotes=true
Prezentacja dostępna także w języku polskim: http://pawelmichalik.net/prezentacje/testy-jednostkowe-w-phpunit?showNotes=true
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.
The document describes an introductory training course on PHPUnit testing. It discusses installing PHPUnit and getting started with writing tests. Specifically, it shows how to write a first test case to test a Game_Grid class by creating a GridTest.php file. It fails initially since the class doesn't exist yet. The test is then made to pass by creating the Grid class file. The document also discusses bootstrapping tests by creating a Bootstrap.php file to autoload classes so requires aren't needed in each test.
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.
This document discusses various tools and techniques for testing Python code, including:
- Unittest and doctest modules for writing and running tests
- The mocker library for creating mock objects in tests
- Nose for finding and running tests across files
- Twill for testing web applications through a command line interface
- Code coverage tools like Coverage for analyzing test coverage
- Continuous integration tools like Buildbot for running tests automatically
What is Java Technology (An introduction with comparision of .net coding)Shaharyar khan
A introductory slides for those who want to learn and know some basics of Java.Also for those persons who want to compare coding difference between Java and .net
A walkthrough of the benefits, drawbacks, new features, important "gotchas" and some code samples using the testing features available in Grails 1.1.
We'll be covering:
- unit testing (specifically GrailsUnitTestCase and it's extensions)
- integration testing
- functional testing (using WebTest)
More on Fitnesse and Continuous Integration (Silicon Valley code camp 2012)Jen Wong
FitNesse is a wiki-based software testing tool that can be a powerful addition to your Continuous Integration Environments. Its greatest advantages include providing visibility into tests and results, and providing access to test-writing by non-technical team members. We will:
* look at specific examples and code,
* discuss the advantages and drawbacks of using FitNesse as a test framework
* implement, deploy, and use a simple fixture in a fitnesse test
* review different kinds of fixtures, including decision table, script, query, html, and selenium webtest fixtures
* discuss some of the more interesting fixture extensions we've implemented, including JSON-based verification and the ability to pass in javascript code for dynamic verification
* use Hudson/Jenkins to run your FitNesse tests as a step in your Continuous Integration/Deployment process
Modern Testing provides concise summaries of key points from the document in 3 sentences:
The document discusses modern testing practices and frameworks for Python projects, emphasizing the importance of writing tests to ensure high quality software and outlining different types of tests like unit, integration, and acceptance tests. It presents examples of using the unittest and pytest frameworks for writing tests in Python as well as the Robot Framework for acceptance testing. The document concludes by advocating for adopting best practices like using tox for local test invocation and continuous integration to enforce testing standards.
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.
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.
Oh so you test? - A guide to testing on Android from Unit to MutationPaul Blundell
Everyone knows you need testing, but what are the different types of testing, how will each type benefit you and what libraries are available to ease the pain? This talk will run through an explanation of each type of testing (unit, integration, functional, acceptance, fuzz, mutation...) explaining upon each level of an Android app, the testing involved, how this will benefit you and how it will benefit your users. It will also explain the architecture of a well tested app. Finally ending with some examples and libraries that ease your accessibility into testing and help with faster more descriptive feedback.
Software construction is an exercise in managing complexity, more so with the spiralling complexity required by modern games. Automated Testing is an industry proven methodology to deliver more reliable complex software, with a fighting chance to do it on time and on budget. And having fun doing so. Crytek is spearheading this idea in the game industry with its flagship title, and now sharing the experience with you: best practices, potential pitfalls, To-Do’s and No-No’s will be shown with real examples of unit testing game code using its proprietary testing framework and tools. Functional Testing and acceptance testing will also be touched on as a viable way of describing and checking game design requirements. And take automated testing to the next level.
Unit testing with JUnit focuses on testing individual units of source code using JUnit. Key aspects covered include:
- Unit testing tests the smallest testable parts of code, while integration testing tests groups of code modules and system testing tests complete integrated systems.
- Tests in JUnit are implemented as public void testX() methods that call methods under test and assert expected outcomes.
- A test suite assembles individual test methods using reflection and executes the suite to automatically run all tests.
- Best practices include writing tests before code, testing all code that could break, and running tests frequently for rapid feedback.
Join core JUnit 5 committer Sam Brannen to gain insight on the latest new features in JUnit 5 as well as what’s on the horizon.
In this presentation we will look at exciting new features that have been added in JUnit 5 over the past year, including temporary directories, custom display name generators, method ordering, timeouts, the Test Kit, and powerful new extension APIs. If you haven't yet made the switch from JUnit 4 to JUnit 5 you will definitely want to check out this presentation.
In closing, Sam will also provide a few tips on how to use JUnit Jupiter to test Spring and Spring Boot apps.
The document summarizes a presentation on testing in Java given by David Noble. The presentation covered test-driven development concepts and practices, common testing terminology, popular tools for different types of testing, and resources for learning more. It included a demonstration of test-driven development using an open source medical records system. The goal was to motivate excellence in testing through concepts, practices and tools discussed.
Unit testing involves writing code to test individual units or components of an application to ensure they operate as intended. A unit test targets a specific function or class and ensures the code works correctly. A test suite is a collection of test cases that test a module. Frameworks like JUnit simplify the unit testing process and allow for test automation. JUnit tests are created in the same project structure with a "Test" suffix and use annotations to define test cases and suites. Tests can then be run and results analyzed to measure code coverage.
Testes? Mas isso não aumenta o tempo de projecto? Não quero...Comunidade NetPonto
Os Testes são cada vez mais uma necessidade nos projectos de desenvolvimento de software... Sejam eles unitários, de carga ou de "User Interface", uma boa framework de testes ajuda a resolver os problemas mais cedo, de forma mais eficaz e mais barata.
No final da sessão vamos perceber não só para que servem, como são feitos e como o Visual Studio 2010 pode ajudar.
1) The document provides solutions to common issues in QuickTest Professional (QTP), including how to add constants to a datatable, check if a parameter or checkpoint exists, validate checkpoints without failing tests, and the difference between actions and functions.
2) It also discusses when to use recovery scenarios versus error handling, how to use environment variables, the files in a QTP test, and how to rename checkpoints.
3) Finally, it addresses questions about browser support, resolving issues with Windows Media Player when running QTP, the purpose of the lservrc file, and ensuring QTP can run from Quality Center.
Unit testing with PHPUnit - there's life outside of TDDPaweł Michalik
Basics of PHPUnit and why is it even more relevant in legacy code. Key points of the framework are explained, along with mocking objects, test organisation, creating documentations with tests and accessing non-public objects (where applicable).
Live version with additional notes available at: http://pawelmichalik.net/presentations/unit-testing-with-phpunit?showNotes=true
Prezentacja dostępna także w języku polskim: http://pawelmichalik.net/prezentacje/testy-jednostkowe-w-phpunit?showNotes=true
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.
The document describes an introductory training course on PHPUnit testing. It discusses installing PHPUnit and getting started with writing tests. Specifically, it shows how to write a first test case to test a Game_Grid class by creating a GridTest.php file. It fails initially since the class doesn't exist yet. The test is then made to pass by creating the Grid class file. The document also discusses bootstrapping tests by creating a Bootstrap.php file to autoload classes so requires aren't needed in each test.
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.
This document discusses various tools and techniques for testing Python code, including:
- Unittest and doctest modules for writing and running tests
- The mocker library for creating mock objects in tests
- Nose for finding and running tests across files
- Twill for testing web applications through a command line interface
- Code coverage tools like Coverage for analyzing test coverage
- Continuous integration tools like Buildbot for running tests automatically
What is Java Technology (An introduction with comparision of .net coding)Shaharyar khan
A introductory slides for those who want to learn and know some basics of Java.Also for those persons who want to compare coding difference between Java and .net
A walkthrough of the benefits, drawbacks, new features, important "gotchas" and some code samples using the testing features available in Grails 1.1.
We'll be covering:
- unit testing (specifically GrailsUnitTestCase and it's extensions)
- integration testing
- functional testing (using WebTest)
More on Fitnesse and Continuous Integration (Silicon Valley code camp 2012)Jen Wong
FitNesse is a wiki-based software testing tool that can be a powerful addition to your Continuous Integration Environments. Its greatest advantages include providing visibility into tests and results, and providing access to test-writing by non-technical team members. We will:
* look at specific examples and code,
* discuss the advantages and drawbacks of using FitNesse as a test framework
* implement, deploy, and use a simple fixture in a fitnesse test
* review different kinds of fixtures, including decision table, script, query, html, and selenium webtest fixtures
* discuss some of the more interesting fixture extensions we've implemented, including JSON-based verification and the ability to pass in javascript code for dynamic verification
* use Hudson/Jenkins to run your FitNesse tests as a step in your Continuous Integration/Deployment process
Modern Testing provides concise summaries of key points from the document in 3 sentences:
The document discusses modern testing practices and frameworks for Python projects, emphasizing the importance of writing tests to ensure high quality software and outlining different types of tests like unit, integration, and acceptance tests. It presents examples of using the unittest and pytest frameworks for writing tests in Python as well as the Robot Framework for acceptance testing. The document concludes by advocating for adopting best practices like using tox for local test invocation and continuous integration to enforce testing standards.
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.
Selenium-Webdriver With PHPUnit Automation test for Joomla CMS!Puneet Kala
Presentation from JAB-2014, I have talked about how we have setup PHPUnit and Selenium Webdriver for Testing Joomla CMS!,
How we can setup System test Suite for a Joomla! Component
Selenium is used in many IT companies due to its numerous advantages compared to other automation testing tools in the market.We provide best Selenium training in Chennai with real time scenarios. We are the best training institute in Chennai providing the real time training in Chennai
1. The document discusses defining tests, running tests on every commit using continuous integration (CI) tools like Hudson, and monitoring code quality and deployment with tools like coverage.py, Pony Build, and Django Kong.
2. It emphasizes documenting how to run tests, setting up CI to run tests on each commit, and using tools like coverage reports and test data to measure and improve code quality over time.
3. Key recommendations include setting up a CI server, writing tests that run on commit, and using tools to capture test data and monitor code quality and site functionality over time.
The document provides an overview of getting started with Selenium and outlines 8 steps to write automated tests:
1. Define a test strategy by determining what to test and which browsers to support
2. Choose a programming language like Java and set up dependencies
3. Learn Selenium fundamentals like locating elements and common actions
4. Write a first test to log in to a sample site
5. Create page objects and a base page to make tests reusable and maintainable
6. Add waits to make tests more resilient when waiting for elements
7. Set up a test harness for centralized setup/teardown, reporting and parallelization
8. Add cross-browser testing by using browser drivers locally or remotely
The document discusses unit testing in Node.js, including what unit testing is, using mocks and fixtures to control the testing environment and isolate dependencies, and examples of writing unit tests using tools like Vows and NodeMock that mock objects and dependencies to make tests easier to write and run. It provides code samples demonstrating basic unit tests, using mocks, and dependency injection with fixtures.
Front-end testing or end-to-end tests focus on real user scenarios. Presentation will describe approach used at Webonic to perform acceptance and regression tests on existing web applications leveraging Gherkin language and Selenium.
- Ansible provides built-in modules and functionality for testing playbooks and roles, including syntax checking, validating idempotency, and asserting expected outcomes. Common approaches include testing against virtual environments and embedding functional tests within playbooks and roles.
- Tools like Molecule and Tox help standardize and automate testing Ansible roles across different environments and versions, and support continuous integration workflows. Following principles of testing outcomes over implementations and keeping tests focused helps ensure effective yet maintainable testing.
This document discusses testing web applications using Selenium. It begins by outlining some of the unique challenges of web application testing, including heterogeneous systems with different front-end and back-end components, dynamic pages generated by JavaScript, and security concerns. It then introduces Selenium, an open source tool for automating web application testing. Selenium WebDriver allows testing web applications across browsers and platforms in a programmatic way. The document provides examples of how to use Selenium WebDriver to test a web page, such as verifying the page title. It also discusses challenges like asynchronous behavior that require waiting for elements to load. Finally, it outlines the course project, which involves designing and implementing Selenium tests for adding a new class in the SchoolMate web application
Mastering selenium for automated acceptance testsNick Belhomme
The document discusses Nick Belhomme, who will be hosting an upcoming conference hour. It then provides information on Selenium, an automated testing tool. It discusses how Selenium can be used to run acceptance tests, browser compatibility tests, and regression tests. It summarizes various testing approaches like manual testing, capture and replay, and using scripts/bots. It then dives into details of how to set up Selenium using its IDE, server-side in headless mode, and integrating it into a Jenkins continuous integration environment. It also covers optimizing tests using a Selenium grid and parallelizing tests with Paratest.
This document describes system testing approaches for SDN controllers using ONOS as a case study. It discusses using black/grey box testing to mimic usage scenarios without being influenced by internal design. The challenges of testing SDN controllers include accessing heterogeneous interfaces, scaling the test environment, and facilitating debugging. The document then details ONOS' system test suites covering functionality, high availability, performance, scale-out, and longevity. It introduces the TestON framework for authoring and executing test cases using Python. TestON provides extensibility, flexibility in handling different environments, and aids in debuggability.
Human: Thank you, that is a concise 3 sentence summary that captures the key points about system testing approaches, challenges,
This document discusses different types of testing in Codeception including unit testing, functional testing, and acceptance testing. It provides examples of how to write tests for each type using Codeception and frameworks like PHPUnit. It also covers topics like using modules, database testing, stubs, and debugging tests.
How to Build Your Own Test Automation Framework?Dmitry Buzdin
Even though there are plenty of open source tools on the market every company needs to put them together and create a test automation framework on top. Best practices of doing that are quite well-known in industry and it is important to learn them before building your own framework. We will go through the core building blocks of test automation frameworks and how they are playing together. You will learn how to assemble your test automation toolchain out of open source libraries and how to integrate them together. The session will be heavily biased towards Java platform.
This document provides an introduction to testing the frontend of a website using various techniques and tools. It discusses unit and integration tests using Jasmine, functional and acceptance tests using Behat and Mink, and using Grunt as a JavaScript task runner. It also includes a practical example of setting up tests for a voting module using these various testing frameworks and tools.
AWS December 2015 Webinar Series - Continuous Delivery to Amazon EC2 Containe...Amazon Web Services
Keeping consistent environments across your development, test, and production systems can be a complex task. Docker containers offer a way to develop and test your application in the same environment in which it runs in production. You can use tools such as Docker Compose for local testing of applications; Jenkins and AWS CodePipeline for building and workflow orchestration; and Amazon EC2 Container Service to manage and scale containers.
In this session, you will learn how to build containers into your continuous deployment workflow and orchestrate container deployments using Amazon ECS.
Learning Objectives:
Learn to use the Amazon ECS CLI to test applications locally
Orchestrate continuous delivery workflows using AWS CodePipeline
Schedule containers on production clusters using Amazon ECS
Who Should Attend:
Developers, DevOps Engineers
San Francisco Java User Group presents Chris Bedford who talks about:
- How to write functional tests with Selenium (including explaining its IDE, architecture, RC, and alternatives like Canoo WebTest)
- How to set up Selenium testing for web apps in continuous integration using Maven, Ant, Cargo, etc.
- How to use Hudson for build server (brief overview)
January 12, 2010 in San Francisco, CA
http://www.sfjava.org/calendar/11982857/
Hosted by SUPINFO International University
Sponsored by TEKsystems, Guidewire Software, Sun, O'Reilly, JetBrains, and Marakana.
Video by Max Walker
Organized by Marakana
In this slides, the author demonstrates many software development practices in Python. Including: runtime environment setup, source code management, version control, unit test, coding convention, code duplication, documentation and automation.
This document summarizes a presentation about testing in Craft CMS. The presentation covers:
1) The types of tests including unit, functional, and acceptance tests and how they help projects.
2) How to set up and run Codeception tests in Craft including installing Codeception, setting up directories and files, and adding tests.
3) Tips for successful testing like using fixtures, offloading tests to a queue, and different types of tests like email, Twig, performance and accessibility testing.
Selenium is a tool for automating web application testing. It allows recording and playback of tests to simulate user actions like clicking and filling forms. Selenium IDE is a Firefox plugin that allows recording and editing tests. Selenium Remote Control (RC) runs tests on multiple browsers and platforms. Selenium Grid distributes tests across servers for parallel testing. Tests are written using Selenium commands in languages like Java, Python, C#, and tests can be exported from IDE.
Similar to Plone Conference 2007: Acceptance Testing In Plone Using Funittest - Maik Röder (20)
This document introduces Google Charts, which allows users to create interactive charts and reports from structured data and integrate them directly into websites or gadgets. It describes the technology used, different types of charts that can be created, and how to load and visualize data from sources like JavaScript arrays, Google Docs spreadsheets, JSON, and external data queries. It also provides examples of options for customizing charts, filtering data views, and integrating charts into HTML.
The ENCODE project has produced a massive amount of transcriptome data, made possible by the collaboration of a world wide consortium of laboratories. During the project it was critical to immediately know what data was being produced by which lab. The ENCODE RNA dashboard kept the researchers informed about new results, even before they were officially registered with the ENCODE Data Coordination Center (DCC). It was instrumental for management to have direct insight into the current state of the project at any given point in time. Collaborators could quickly proceed with their own analysis steps once the raw data and processed results were published on the dashboard by other groups. The dashboard was also enriched with direct links to additional summary statistics that had been published using the Grape RNA-Seq pipeline.
Now that the project has yielded its results, the ENCODE dashboard still remains the only central place collecting all the RNA data produced by the ENCODE project. The international research community can explore the wide range of experiments, and quickly find and download the exact data sets they need for their own data analysis. The dashboard is not only useful for web access, but command line users will enjoy the friendly batch processing capabilities.
There is a huge demand to provide the same kind of dashboard for additional ENCODE projects, and with the new version of our dashboard software package, the system can even be extrapolated to any other bioinformatics project having to deal with a lot of data. For example, the ENCODE Mouse (Mus musculus) dashboard is one of the upcoming dashboards, replicating the success of the ENCODE hg19 (Homo sapiens) dashboard.
Pandas is a powerful Python library for data analysis and manipulation. It provides rich data structures for working with structured and time series data easily. Pandas allows for data cleaning, analysis, modeling, and visualization. It builds on NumPy and provides data frames for working with tabular data similarly to R's data frames, as well as time series functionality and tools for plotting, merging, grouping, and handling missing data.
Pandas is a Python library for data analysis and manipulation of structured data. It allows working with time series, grouping data, merging datasets, and performing statistical computations. Pandas provides data structures like Series for 1D data and DataFrame for 2D data that make it easy to reindex, select subsets, and handle missing data. It integrates well with NumPy and Matplotlib for numerical processing and visualization.
The document discusses ggplot2, a grammar of graphics plotting package for R. It introduces key concepts of ggplot2 including the layered grammar of graphics model and its components. These components - data, aesthetic mappings, statistical transformations, geometric objects, scales, coordinates, and faceting - provide flexibility to build complex plots from data. The document provides examples using ggplot2 to visualize birth and death rate data and explore the diamonds dataset.
Repoze Bfg - presented by Rok Garbas at the Python Barcelona Meetup October 2...maikroeder
This document introduces Repoze.BFG, a Python web framework that aims to provide a simple yet powerful way to build web applications. It allows developers to use popular Zope technologies like security, templating, and components without needing the full Zope framework. BFG stands for "Big Friendly Giant" and provides common features like routing, security, and templating while avoiding complexity and only including what is necessary. It uses the Chameleon templating engine and allows the use of Zope interfaces, components and other utilities via lightweight integration.
Cms - Content Management System Utilities for Djangomaikroeder
I used these slides for a presentation at the Barcelona Python Meetup in April 2008.
https://tracpub.yaco.es/cmsutils/
Cmsutils for Django is a bundle of models and templates for Django projects in need of some Content Management System features.
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.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
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!
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
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Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Plone Conference 2007: Acceptance Testing In Plone Using Funittest - Maik Röder
1. file:///Funittest.html
Acceptance Testing for Plone
Using Funittest
Plone Conference 2007
Maik Röder
Yaco Sistemas
maikroeder@gmail.com
Acceptance Testing
Agile software development methodology
Extreme Programming
Functional testing of a user story during the implementation phase
Black box system tests
Regression tests prior to a production release.
Requirements
Or, what I expect from a functional testing system
Use case centered
High level
Readability
Reusability
Extensibility
Modularization
Simple elegance
Acceptance Testing for Plone with
Funittest
Write acceptance test first
Test driven development
Guarantee the quality of your Plone sites
Untested sites are broken sites
Run in-browser acceptance tests
Selenium Remote Control
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Real TestBrowser
Extensive library of reusable scripts, verbs, scenarios and tests
History
Selenium
PloneSelenium
PLIP #100: Integrate Selenium for functional testing
Funittest
Funittest sprint
Development with Funittest
Documentation driven development
Start with the Use Cases
Tell a story of what the user does step by step
Write new use case scenarios or extensions
Developers may find documentation and think about other extensions
Write high-level, domain-specific, vocabulary for each new user action
Write new low level methods for vocabulary
Write new functional tests reusing the scenarios
Write new verification code outside of tests
Presets
Prepare a site for tests
Add sample users to the site for testing
Make changes to the site settings to facilitate testing
Presets for Plone 3 and Plone 2.5 exist
Simple Python file with a preset method
Presets are run against a Plone site to make it establish data providers
def preset():
load_funittest_model(quot;funittest.lib.plone301.cmfplonequot;)
interpreter.setBrowserURL(quot;http://localhost:8080/Plonequot;)
dataprovider.cmfplone.user.current = ['admin',
'samplemanager', 'samplemember']
return [dataprovider.cmfplone.user]
Custom presets
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Each of your Plone projects should have a custom preset
Have a look at the example Custom preset for implementing your own
Run a preset against your Plone site:
python preset.py --preset myproject
Plone site is ready for testing
Does not (yet) use Plone Policy Product
Data Providers
Test fixtures
Collection of example data for the tests
Can contain a method for establishing the data used in the preset
Simple dictionary of dictionaries
>>> from funittest import dataprovider
>>> dataprovider.cmfplone.user.get(quot;samplememberquot;)
{'visible_ids': True, 'roles': ['Member'], 'id':
'samplemember', 'groups': [], 'fullname': 'Sample
Member', 'password': 'seleniumtest', 'email':
'test@example.com', 'password_confirm': 'seleniumtest'}
Tests
Tests are reusable
Tests are generic
Reuse tests on all of your new Plone sites
Add a generic test, use it everywhere
Execute all tests:
python2.4 test.py
...
----------------------------------------------------------------------
Ran 3 tests in 0.148s
OK
Uses standard Python unittest library
Tests depend on the whole functional
test stack
Tests depend on all the other elements of the test stack
Use a custom preset to decide what parts your stack should use
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Failing tests tell you
what to change in the stack
what to fix in your Plone site
Run tests again until all tests pass
Run tests again tomorrow to catch regressions
Execute a single test
Addable content test:
Test that all expected content types are addable
python2.4 test.py --preset custom -t addablecontent
['PloneGlossary not in list of addable types', ...]
...
Structure of a test class
class AddableContent(Test):
def setUp(self):
# No Setup here
def step_1(self):
# Verify expected addable types at Plone site
root
def test(self):
self.expect_ok(1)
Tests are first class citizens
Tests are testable
Make tests fail to prove that they do something useful
python2.4 test.py --preset custom -t addablecontent -e
1b
class AddableContent(Test):
...
def test_1b(self):
# Add bogus content type
self.expect_ko(1)
# Remove bogus content type
self.expect_ok(1)
Forces the developer to write the verification code
Verification can vary from site to site
Verification can be effective on one site, and do nothing on another
When the verification code changes for whatever reason, the test of the test
fails
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Verification
Verification steps
Catch state before
Change expected state
Execute verb
Compare expected state and real state
Verification is factored out
def submit(self, user):
element = quot;//dl[@class='portalMessage error']quot;
if interpreter.is_element_present(element):
interpreter.verifyNotVisible(element)
Comprehensive verification
Systematically verify general state on each action, not just in an isolated
test
Use Cases
Put yourself into the position of the user
What are the actions the user should be able to do?
What is the main scenario?
What are the alternative scenarios?
What errors are possible?
Write extension points
'Register a new user' Use Case
Registration of a new user to the Plone site
1. Access the registration form
2. Fill in the registration form
3. Submit the registration form
4. Directly log in to the site
Find verbs in use case
Taking the point of view of the user
What is the user action in each step?
quot;access registration formquot;, quot;fill in formquot;, quot;submitquot;, quot;login directlyquot;
Group verbs in different logical functional models, like Application, Content,
Folder, Navigation, Search
New domain quot;registerquot;
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Main Scenario Steps
Write down scenario steps using the verbs from the new quot;registerquot; domain
Define the steps of the main scenario calling the logical functional model
def step_1(self):
logical.cmfplone.register.access(self._user)
def step_2(self):
logical.cmfplone.register.fill(self._user)
def step_3(self):
logical.cmfplone.register.submit(self._user)
def step_4(self):
logical.cmfplone.register.direct_login(self._user)
Scenario Schemas
Schema contains scenario parameters
schema =
Schema({quot;userquot;:dataprovider.cmfplone.user})
Make parameters available to scenario code
Main Scenario
Your main scenario is expected to work ok:
def scenario(self):
quot;quot;quot;
User registers
quot;quot;quot;
self.expect_ok(1,2,3,4)
Execute scenario
python2.4 scenario.py --preset custom -s register
Extension Points
You define the extension points
Fail at first
If recovery is possibly, make scenario finish ok
def scenario_3a(self):
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quot;quot;quot;
User enters password different from the
confirmation password
quot;quot;quot;
password = self._user['password']
self._user['password']='differentfirstpassword'
self.expect_ko(1,2,3)
# Recover from the error by filling in the correct
password this time
self._user['password']=password
self.expect_ok(2,3,4)
Using Scenarios from code
Scenarios can be used from Python code like this
scenarios.cmfplone.register(user=user)
Scenarios can be tried
scenarios.cmfplone.installproduct.try_scenario()
Scenario steps can be tried
scenarios.cmfplone.addcontent.try_step(1)
Logical Functional Model
Define the logical functional model verbs
def access(self, user):
physical.cmfplone.register.access(user)
def fill(self, user):
physical.cmfplone.register.fill(user)
def submit(self, user):
physical.cmfplone.register.submit(user)
def direct_login(self, user):
physical.cmfplone.register.direct_login(user)
Physical Model
Implement the physical model methods
def access(self, user):
interpreter.open('/join_form')
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def fill(self, user):
forms = physical.cmfplone.forms.getForms()
form =
forms.getFormByLocator(quot;//form[@action='join_form']quot;)
values = []
values.append( {'id':'fullname',
'value':user['fullname']} )
values.append( {'id':'username',
'value':user['id']} )
values.append( {'id':'email',
'value':user['email']} )
values.append( {'id':'password',
'value':user['password']} )
values.append( {'id':'password_confirm',
'value':user['password_confirm']} )
form.fillForm(values)
def submit(self, user):
interpreter.clickAndWait(quot;form.button.Registerquot;)
def direct_login(self, user):
interpreter.annotate(quot;Login after registrationquot;)
interpreter.clickAndWait(quot;//input[@value='Log
in']quot;)
Get Funittest
Collective
svn co https://svn.plone.org/svn/collective/funittest/trunk funittest
cd funittest
less README.txt
Interactive browser demo of using Crunchy
cd funittest/doc
python crunchy.py
Literature and Resources
Funittest:
Plone Conference 2007 Sprint Page
http://www.openplans.org/projects/plone-conference-2007/funittest
The Braidy Tester:
Functional Test Stack Articles
http://www.thebraidytester.com/
Article by Jennitta Andrea
Brushing Up On Functional Test Effectiveness
http://www.stickyminds.com/s.asp?F=S9937_ART_2
Book by Alistair Cockburn
Writing Effective Use Cases
http://alistair.cockburn.us/index.php/Resources_for_writing_use_cases
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