Java Test Automation for REST, Web and MobileElias Nogueira
Presentation about how to use REST, Web and Mobile open source tools to increase your test codebase.
This presentation was made by me and Edson Yanaga for JavaOne 2017 San Francisco on 04/09/2017
Functional Tests Automation with Robot Frameworklaurent bristiel
The document discusses Robot Framework, an open source test automation framework written in Python. It can be used to write functional, end-to-end, component, and unit tests. Robot Framework uses a keyword-driven, data-driven, or behavior-driven approach. It provides built-in keywords and libraries that allow tests to be written in a simple, lightweight manner and executed across multiple platforms and applications. Case studies are presented on large companies using Robot Framework to automate testing of their products. Both advantages and limitations of the framework are covered.
Robot Framework is an open-source automation framework developed by Nokia Networks. It is keyword-driven and data-driven, uses a tabular test format, and supports test libraries that provide keywords to interact with the application under test. Robot Framework has built-in reporting and logging capabilities and supports integration with Jenkins for continuous integration.
The document announces the release of Specs2 3.0 and provides an overview of the changes, improvements, and additional features. It mentions updates to the user guide, API with changes to nesting and fragments, new reporting capabilities, and support for ScalaCheck. It encourages users to try out the new version and provides examples of ways to contribute back through reporting issues, extending functionality, or adding new specs and tests.
Talk given at Typeform for the Barcelona Bug busters meetup.
How to Automate API Testing guides you through a possible API Testing workflow for API Functional Testing exploring different tools and approaches.
This document discusses test automation within a Scrum process. It begins by providing background on the author and defining test automation. It then discusses how to start with automation, including using frameworks and learning programming skills. It describes how to plan test automation in a Scrum process, including when to automate, criteria for choosing what to automate, and how to plan the automation work. The document then discusses automating test cases, executing automation scripts, and delivering the automation work in a Scrum process. Finally, it briefly discusses some newer trends in test automation.
This document discusses using Python for test automation. It introduces the author as a senior developer in test automation using Python. The document outlines topics to be covered, including testing, automation, different Python modules for test automation, and demos. It promotes Python for test automation due to its ease of use, readability, cross-platform capabilities, large community and support libraries.
This presentation demonstrates general guidelines how to create good test cases using Robot Framework. Both good practices and anti-patterns are presented.
The presentation is hosted on GitHub where you can find the original in ODP format: https://github.com/robotframework/DosDontsSlides
This document provides an introduction to Robot Framework, an open source test automation framework for acceptance testing. It discusses Robot Framework's architecture, installation process, test structure, standard and external libraries, Selenium keywords, and provides a demo of creating a simple test case with Robot Framework.
10x Test Coverage, Less Drama: Shift Left Functional & Performance TestingSauce Labs
Shifting left means starting testing earlier in the development cycle by writing tests alongside code development within small teams. This eliminates surprises from late-discovered problems and ensures code meets expectations before being declared "done". To achieve superior test coverage, teams must test more by shifting left and testing as code is committed so developers get immediate feedback and bugs are fixed early. Shifting left embeds quality into every step of development and allows for continuous testing and integration to produce higher quality, shippable features faster.
If you’re responsible for creating diverse, scalable automated tests but don’t have the time, budget, or a skilled-enough team to create yet another custom test automation framework, then you need to know about Robot Framework!
In this webinar, Bryan Lamb (Founder, RobotFrameworkTutorial.com) and Chris Broesamle (Solutions Engineer, Sauce Labs) will reveal how you can use this powerful, free, open source, generic framework to create continuous automated regression tests for web, batch, API, or database testing. With the simplicity of Robot Framework, in conjunction with Sauce Labs, you can improve your test coverage and time to delivery of your applications.
Diffy : Automatic Testing of Microservices @ TwitterPuneet Khanduri
Agile development has become a norm nowadays. Though it fosters faster product development cycles, it often results in a higher number of functional and/or performance regressions. In an SOA setting such as Twitter, such regressions may cascade from one service to one or more services. Detecting such regressions manually is not practically feasible in light of the hundreds of services and tens of thousands of metrics each service collects. To this end, we developed a novel tool called Diffy to automatically detect such regressions.
The key highlights of the talk are the following:
A simple yet effective approach for detecting functional regressions. False positives are minimized via statistical analysis of metrics obtained from a tuple <primary,> of nodes, where the same traffic is sent to each node.
An ensemble approach to performance regression. The need for an ensemble of classifiers stemmed from the multifaceted characteristics of the performance data. In order to minimize the impact of variability of hardware performance across nodes, we used two clusters – instead of a tuple of nodes – corresponding to the release candidate and production code. The approach is robust against the presence of anomalies in the performance data.
The proposed techniques work well with minute data. Diffy has been in use in production by multiple services at Twitter, and has been baked into the continuous build process so as to actively detect functional and/or performance regressions.
We shall take the audience through how the techniques are being used at Twitter with REAL data.
This document discusses various types of API testing including functionality, usability, reliability, load, creativity, security, proficiency, and documentation testing. It provides two examples of API tests - one to test getting a list of countries and another to test getting details of a single country. Key aspects covered include generating test data, preparing variables, using prepared variables in tests, running test collections, and reviewing test results. The overall document provides guidance on developing comprehensive API tests.
TestWorks Conf Robot framework - the unsung hero of test automation - Michael...Xebia Nederland BV
The Robot Framework is a generic test automation framework for acceptance test-driven development, that appears to be largely neglected.
Undeservedly so, as it facilitates powerful and yet simple test automation against a variety of interfaces.
It features some distinct advantages when compared to seemingly similar frameworks such as Cucumber or Fitnesse.
This workshop is meant to show you what makes the Robot Framework special and what is has to offer you.
This document discusses using SonarQube to improve code quality. It introduces SonarQube and describes demonstrating its dashboard, showing code changes and quality metrics. The document outlines a strategy for using SonarQube to identify rule violations, improve test coverage, reduce complexity, and detect unused code. It lists additional SonarQube features and provides resources for learning more.
Making the build self-testing is one of the best pratices of continuous integration. This was the main goal of this presentation, the work done in a REST API, using Symfony, phpspec, PHPUnit and Behat.
This presentation has been prepared to share knowledge about JetBrains UpSource tool usage on HTML project for back-end developers. Also code review process description has been provided to share good/bad experience of code review procedure.
Trust Your Pipeline - Automatically Testing and End-to-End Java ApplicationElias Nogueira
This is a presentation for you that need to learn about testing in other levels than the unit and integration testing and the importance of a testing pipeline in your project.
Bruno Souza and I presented this on JavaOne Conference 2017 in San Francisco on 02/09/2017
Robot Framework is an open source test automation framework that can be used to test web, desktop, and mobile applications. It uses a keyword-driven design and has a modular architecture that makes it easy to extend with custom test libraries. Some benefits include being highly reusable, accessible for beginners, and having powerful logging capabilities. However, it does not support while loops or nested for loops, and working with non-string data types can be complicated. The framework operates independently of the system under test and uses test suites made up of test cases that can each be in their own namespace. Custom keywords, variables, and extensions are usually stored separately.
Robot Framework - Lord of the Rings
Introduction to the Robot Framework for Acceptance Test automation, and hands on examples, highlighting the key features. To catch the demo's, drop me a note at my email id.
SonarQube is an open source tool that helps manage code quality. It covers 7 axes of code quality and allows for continuous inspection of code bases through its plugins. It provides benefits like reducing bugs and technical debt by detecting issues early. Key metrics reported include potential bugs, duplicates, and test coverage. The tool integrates with development workflows and provides visual dashboards and reports to track quality over time.
[FullStack NYC 2019] Effective Unit Tests for JavaScriptHazem Saleh
The document discusses code coverage and mutation testing tools for JavaScript. It introduces karma-coverage as a code coverage plugin that can be used with Karma test runner. Traditional code coverage only measures executed code and does not guarantee tests will fail on logic changes. Mutation testing seeds code with faults to evaluate test strength by whether faults are killed by tests. The document demonstrates Stryker, a mutation testing tool for JavaScript that works with popular frameworks and provides test reports. It provides sample URLs and recommends using Stryker with Angular CLI 6.1+.
How to cover your web pages with easy tests in Python using easy wrapper over selenium of Selenide style. What are the styles of test coverage? How to start automation on your project? Which tool to choose?
This is a presentation to correspondent workshop (in russian) happened to have place in Kiev, during "Black Tea Testing #8" testing event, organized by Cogniance (cogniance.com) and IT Labs (itlabs.net.ua).
See video (in russian) at https://youtu.be/m1lopvj4nNg
See code src at https://github.com/yashaka/easy-web-tests-python/
Robot Framework is a generic test automation framework for acceptance and regression testing. It has easy-to-use tabular test data syntax and supports test automation using the keyword-driven testing approach. Tests are created using test cases composed of test data and keywords. Keywords are provided by test libraries that extend the functionality of the framework. Robot Framework can be installed on Windows using pip and supports creating and running tests from the command line or using the RIDE test data editor.
Acceptance Test Driven Development and Robot FrameworkSteve Zhang
This presentation is about using Robot Framework automation test framework to implement Acceptance Test Driven Development, BDD or Specification By Example
This document provides an introduction to Robot Framework, an open source test automation framework for acceptance testing. It discusses Robot Framework's architecture, installation process, test structure, standard and external libraries, Selenium keywords, and provides a demo of creating a simple test case with Robot Framework.
10x Test Coverage, Less Drama: Shift Left Functional & Performance TestingSauce Labs
Shifting left means starting testing earlier in the development cycle by writing tests alongside code development within small teams. This eliminates surprises from late-discovered problems and ensures code meets expectations before being declared "done". To achieve superior test coverage, teams must test more by shifting left and testing as code is committed so developers get immediate feedback and bugs are fixed early. Shifting left embeds quality into every step of development and allows for continuous testing and integration to produce higher quality, shippable features faster.
If you’re responsible for creating diverse, scalable automated tests but don’t have the time, budget, or a skilled-enough team to create yet another custom test automation framework, then you need to know about Robot Framework!
In this webinar, Bryan Lamb (Founder, RobotFrameworkTutorial.com) and Chris Broesamle (Solutions Engineer, Sauce Labs) will reveal how you can use this powerful, free, open source, generic framework to create continuous automated regression tests for web, batch, API, or database testing. With the simplicity of Robot Framework, in conjunction with Sauce Labs, you can improve your test coverage and time to delivery of your applications.
Diffy : Automatic Testing of Microservices @ TwitterPuneet Khanduri
Agile development has become a norm nowadays. Though it fosters faster product development cycles, it often results in a higher number of functional and/or performance regressions. In an SOA setting such as Twitter, such regressions may cascade from one service to one or more services. Detecting such regressions manually is not practically feasible in light of the hundreds of services and tens of thousands of metrics each service collects. To this end, we developed a novel tool called Diffy to automatically detect such regressions.
The key highlights of the talk are the following:
A simple yet effective approach for detecting functional regressions. False positives are minimized via statistical analysis of metrics obtained from a tuple <primary,> of nodes, where the same traffic is sent to each node.
An ensemble approach to performance regression. The need for an ensemble of classifiers stemmed from the multifaceted characteristics of the performance data. In order to minimize the impact of variability of hardware performance across nodes, we used two clusters – instead of a tuple of nodes – corresponding to the release candidate and production code. The approach is robust against the presence of anomalies in the performance data.
The proposed techniques work well with minute data. Diffy has been in use in production by multiple services at Twitter, and has been baked into the continuous build process so as to actively detect functional and/or performance regressions.
We shall take the audience through how the techniques are being used at Twitter with REAL data.
This document discusses various types of API testing including functionality, usability, reliability, load, creativity, security, proficiency, and documentation testing. It provides two examples of API tests - one to test getting a list of countries and another to test getting details of a single country. Key aspects covered include generating test data, preparing variables, using prepared variables in tests, running test collections, and reviewing test results. The overall document provides guidance on developing comprehensive API tests.
TestWorks Conf Robot framework - the unsung hero of test automation - Michael...Xebia Nederland BV
The Robot Framework is a generic test automation framework for acceptance test-driven development, that appears to be largely neglected.
Undeservedly so, as it facilitates powerful and yet simple test automation against a variety of interfaces.
It features some distinct advantages when compared to seemingly similar frameworks such as Cucumber or Fitnesse.
This workshop is meant to show you what makes the Robot Framework special and what is has to offer you.
This document discusses using SonarQube to improve code quality. It introduces SonarQube and describes demonstrating its dashboard, showing code changes and quality metrics. The document outlines a strategy for using SonarQube to identify rule violations, improve test coverage, reduce complexity, and detect unused code. It lists additional SonarQube features and provides resources for learning more.
Making the build self-testing is one of the best pratices of continuous integration. This was the main goal of this presentation, the work done in a REST API, using Symfony, phpspec, PHPUnit and Behat.
This presentation has been prepared to share knowledge about JetBrains UpSource tool usage on HTML project for back-end developers. Also code review process description has been provided to share good/bad experience of code review procedure.
Trust Your Pipeline - Automatically Testing and End-to-End Java ApplicationElias Nogueira
This is a presentation for you that need to learn about testing in other levels than the unit and integration testing and the importance of a testing pipeline in your project.
Bruno Souza and I presented this on JavaOne Conference 2017 in San Francisco on 02/09/2017
Robot Framework is an open source test automation framework that can be used to test web, desktop, and mobile applications. It uses a keyword-driven design and has a modular architecture that makes it easy to extend with custom test libraries. Some benefits include being highly reusable, accessible for beginners, and having powerful logging capabilities. However, it does not support while loops or nested for loops, and working with non-string data types can be complicated. The framework operates independently of the system under test and uses test suites made up of test cases that can each be in their own namespace. Custom keywords, variables, and extensions are usually stored separately.
Robot Framework - Lord of the Rings
Introduction to the Robot Framework for Acceptance Test automation, and hands on examples, highlighting the key features. To catch the demo's, drop me a note at my email id.
SonarQube is an open source tool that helps manage code quality. It covers 7 axes of code quality and allows for continuous inspection of code bases through its plugins. It provides benefits like reducing bugs and technical debt by detecting issues early. Key metrics reported include potential bugs, duplicates, and test coverage. The tool integrates with development workflows and provides visual dashboards and reports to track quality over time.
[FullStack NYC 2019] Effective Unit Tests for JavaScriptHazem Saleh
The document discusses code coverage and mutation testing tools for JavaScript. It introduces karma-coverage as a code coverage plugin that can be used with Karma test runner. Traditional code coverage only measures executed code and does not guarantee tests will fail on logic changes. Mutation testing seeds code with faults to evaluate test strength by whether faults are killed by tests. The document demonstrates Stryker, a mutation testing tool for JavaScript that works with popular frameworks and provides test reports. It provides sample URLs and recommends using Stryker with Angular CLI 6.1+.
How to cover your web pages with easy tests in Python using easy wrapper over selenium of Selenide style. What are the styles of test coverage? How to start automation on your project? Which tool to choose?
This is a presentation to correspondent workshop (in russian) happened to have place in Kiev, during "Black Tea Testing #8" testing event, organized by Cogniance (cogniance.com) and IT Labs (itlabs.net.ua).
See video (in russian) at https://youtu.be/m1lopvj4nNg
See code src at https://github.com/yashaka/easy-web-tests-python/
Robot Framework is a generic test automation framework for acceptance and regression testing. It has easy-to-use tabular test data syntax and supports test automation using the keyword-driven testing approach. Tests are created using test cases composed of test data and keywords. Keywords are provided by test libraries that extend the functionality of the framework. Robot Framework can be installed on Windows using pip and supports creating and running tests from the command line or using the RIDE test data editor.
Acceptance Test Driven Development and Robot FrameworkSteve Zhang
This presentation is about using Robot Framework automation test framework to implement Acceptance Test Driven Development, BDD or Specification By Example
This document outlines a learning roadmap for manual testers to become Selenium automation testers. It recommends first updating skills by learning about automation, programming languages for web testing like Java, exploring tools like Firebug, and trying record and playback with Selenium IDE. It then suggests updating locator skills with FirePath and regular expressions. The roadmap instructs to build a simple framework using existing solutions, then implement features, refactor code, experiment integrating WebDriver with other tools, create extensions, challenge assumptions of what can't be automated, and try WebDriver for mobile automation. The goal is to help manual testers transition to Selenium automation testing.
The client faced challenges with regression testing Oracle Applications due to constant upgrades. Infosys created an automation framework that enabled the client to reduce regression testing efforts and costs by 80% and minimize business interruptions. The framework included documenting test cases, developing automated scripts using testing tools, executing the scripts across multiple releases, and managing tests. This improved cost savings, delivery confidence, maintainability, and resource utilization.
How Manual Testers Can Break into Automation Without Programming SkillsRanorex
Adoption of automating tests has not happened as quickly as organizations need. As more companies move toward implementing agile development as their software development lifecycle, more features are being implemented and released more quickly. This leaves less time for full regression testing of the system, nonetheless this should still be done. Manual testers need to transform into test automation testers as well.
Learn how to make this jump as a manual tester and focus on the right areas first e.g. automation test structure, object recognition and results interpretation.
Making Your Results Visible - A Test Result Dashboard and Comparison ToolXiaoxing Hu
This document introduces REPAUTO, a test automation framework that aims to address common issues like flaky tests. It summarizes the key problems such as the large number of tests, devices and networks that can cause failures, and the difficulty of debugging issues. The framework proposes centralized logging, history comparison and flake detection to make triaging easier. It was built with technologies like Allure and MVC, and the source code is available on GitHub for feedback.
The document discusses test automation in agile environments. It covers Capgemini's World Quality Report on automation, the evolution of business models and IT ecosystems, and challenges with agile automation. Key topics include testing being embedded within the Scrum process with no separate schedule for testing, the importance of test-driven development and behavior-driven development, achieving high levels of automation coverage, and using tools like Cucumber, JUnit, and Selenium to support test automation. The document emphasizes that automation is necessary to achieve faster time to market and increased productivity in agile.
Patterns of a “good” test automation frameworkAnand Bagmar
This document discusses patterns for test automation frameworks. It begins by introducing common patterns like page objects, business layer, and factories. It then provides examples of page object and business layer page object patterns. The document also discusses test data patterns and different ways to specify test data and locators. Finally, it outlines advantages of using patterns like reduced complexity, reusability, and maintenance. The key message is that the best pattern depends on the specific test automation context.
Behavior Driven Development and Automation Testing Using CucumberKMS Technology
This document discusses behavior-driven development (BDD) and automation testing using Cucumber. It begins with an example of a Cucumber scenario for logging into a system. It then demonstrates an automation test case written in Java and discusses how Cucumber executes scenarios. The rest of the document outlines an agenda to discuss BDD, Cucumber automation, developing a Cucumber framework, and the pros and cons of BDD and Cucumber.
The document discusses Appium, an open source tool for automating native, mobile web, and hybrid applications on iOS and Android platforms. It provides an overview of the speaker's background and agenda. Key topics covered include using Appium to test desktop, mobile web, and native apps across platforms like Windows, Mac, iOS, and Android. The document also discusses strategies for improving test performance and working with accessibility identifiers.
Testing Big Data: Automated Testing of Hadoop with QuerySurgeRTTS
Are You Ready? Stepping Up To The Big Data Challenge In 2016 - Learn why Testing is pivotal to the success of your Big Data Strategy.
According to a new report by analyst firm IDG, 70% of enterprises have either deployed or are planning to deploy big data projects and programs this year due to the increase in the amount of data they need to manage.
The growing variety of new data sources is pushing organizations to look for streamlined ways to manage complexities and get the most out of their data-related investments. The companies that do this correctly are realizing the power of big data for business expansion and growth.
Learn why testing your enterprise's data is pivotal for success with big data and Hadoop. Learn how to increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your data - all with one data testing tool.
Testing web services is very important part of integration testing on web projects.
In this presentation you can learn the best approaches, tools and features of Web Services testing. Soon I'll share url with a video from my presentation.
The document provides an overview of automation testing concepts using QuickTest Professional (QTP) 9.2. It discusses what automation testing is, its benefits, and the automation life cycle. It also covers topics like supported technologies, add-ins, recording and run modes, and the main QTP window. Sample script snippets demonstrate commonly used QTP functions.
The document discusses test automation concepts and introduces QuickTest Professional (QTP) 9.2. It covers the benefits of automation, the automation life cycle, supported technologies and browsers, the object repository, recording and run modes, options, and basic VBScript concepts used in QTP.
The document discusses test automation concepts and introduces QuickTest Professional (QTP) 9.2. It covers the benefits of automation, the automation life cycle, supported technologies, record and run modes, main tools and features in QTP, and key areas like script structure, parameterization, checkpoints, and exception handling.
The document provides an overview of automation testing using Quick Test Professional (QTP). It discusses the need for automation testing, rules of automation, and the different automation tools available. It then covers the life cycle of automation testing using QTP, including analyzing the application, selecting a tool, designing and recording test scripts, running tests, and finding and reporting defects. The document also describes key QTP concepts like object identification, the object repository, recording modes, parameters, reusable actions, and checkpoints.
The document summarizes several software testing tools:
- Abbot provides automated testing of Java GUI components, allowing tests to be run from code or scripts.
- Anteater is a framework for testing web applications and XML web services using Ant build scripts.
- Apodora automates functional testing of web applications through programmatic browser control.
- GNU/LDTP tests GNOME and other Linux desktop applications via accessibility libraries and test case recording.
- httest is a scriptable HTTP client/server for testing and benchmarking web applications.
The document provides an overview of QuickTest Professional (QTP), including:
1. QTP is a tool used for functional and regression testing of applications. It supports testing of various software using built-in and external add-ins.
2. The object repository in QTP stores object identification properties that are used to recognize and interact with objects during testing.
3. Tests in QTP can include multiple actions, which can be arranged hierarchically. Data tables are used to support data-driven testing by storing test and action iteration data.
My first test qtp tutorial slide presentation.
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mail2web - Check your email from the web at
http://link.mail2web.com/mail2web
QTP is a functional test and regression test automation solution that addresses major software applications and environments. The testing process involves preparation, recording tests, enhancing tests, running and debugging tests, and analyzing results. QTP supports features like checkpoints, parameters, object spying, and keyword-driven testing to simplify test creation and maintenance. It is suitable for functional testing and regression testing of relatively stable systems.
Soft Test Ireland - Introduction to Jakarta Jmeter - Philip BannonDavid O'Dowd
This document provides an introduction to functional, performance, and non-functional testing with JMeter. It discusses what JMeter is, how it works, its main components, and how to perform tests. It also provides demonstrations of creating functional and performance tests with JMeter.
Quick Test Professional (QTP) is a functional testing tool made by Mercury Interactive that uses VBScript for test automation. It works by recording user actions and generating a test script. There are three main types of recording in QTP: normal, analog, and low-level recording. QTP supports testing of web, Java, .NET, and other applications and environments. The document provides details on various QTP concepts like object repositories, checkpoints, data-driven testing, and more.
Mykola Kovsh - Functional API automation with JmeterIevgenii Katsan
Mykola Kovsh presented on using JMeter for functional API automation testing at his company. He discussed their problem of not having enough time for full regression testing of a mobile betting application. JMeter was chosen as a solution because it is free, supports parallel test runs, CI integration and comprehensive reports. Key aspects covered included creating modular and data-driven test scripts in JMeter, continuous integration using ANT and Bamboo, and improvements made such as separating test plans and customizing reports. Automating over 200 test cases with JMeter helped find bugs, shorten regression testing time and improve overall application quality.
Functional Testing Swing Applications with Frankensteinvivek_prahlad
Frankenstein is a tool for testing Swing applications that allows recording and playing back user interactions. It was created to address limitations of other testing tools in supporting multithreaded applications and custom UI components. Frankenstein works by hooking into the Swing event queue to record events during recording and then replay them during playback. It uses a Ruby driver to write modular, parameterized tests and provides features like synchronization of multithreaded tests and customizable reporting.
QUICK TEST PROFESSIONAL 8.2
Mercury Quick Test Professional 8.2 provides the industry’s best solution for functional test and regression test automation - addressing every major software application and environment
Анна Горб — преподаватель Компьютерной школы Hillel, Scrum Master/Team Lead в Luxoft
Приобщилась к тестированию в 2007 году в Днепропетровской компании Aquasoft.
За 7 месяцев сделала головокружительную карьеру до QA Lead небольшой группы тестирования.
С 2010 года работает в компании Luxoft. На разных проектах, банковских и не очень.
С 2013 году аттестована как тренер. Любит делиться с людьми своими знаниями и опытом.
Ведет тренинги как по прикладному тестированию, так и по управлению тестированием.
С 2015 года сертифицированный Scrum Master.
Коллекционирует желтеньких резиновых уточек.
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
The document outlines an automation testing syllabus covering software development lifecycles, the role of testers, types of testing, test techniques, test cases, test plans, bugs, Java concepts, production tools, load testing, test management tools, and real-world manual testing projects. Key topics include waterfall, agile, and scrum models; unit, integration, and regression testing; black box and white box techniques; test plans; bug tracking; Java fundamentals; and tools like JUnit, Selenium, JIRA, LoadRunner, and QTP. The syllabus aims to equip students with the skills needed for both manual and automation testing.
AntUnit is a framework that provides Ant tasks for testing other Ant tasks. It allows testing to be integrated into the regular build process. Key features include flexibility, extensibility, and tight integration with the development environment. The document discusses why AntUnit was created, how to use and extend it, and provides examples of testing command line applications, web applications, and GUI applications using AntUnit tasks and extensions.
This document provides an introduction to JMeter, an open source performance testing tool. It discusses what JMeter is used for, its key features, components, strengths and weaknesses. It also provides instructions on setting up and running JMeter, including building a test plan with thread groups, samplers, listeners and other elements. The document demonstrates how to perform tasks like parameterization, session handling, and distributed testing with JMeter.
its all about Artificial Intelligence(Ai) and Machine Learning and not on advanced level you can study before the exam or can check for some information on Ai for project
RICS Membership-(The Royal Institution of Chartered Surveyors).pdfMohamedAbdelkader115
Glad to be one of only 14 members inside Kuwait to hold this credential.
Please check the members inside kuwait from this link:
https://www.rics.org/networking/find-a-member.html?firstname=&lastname=&town=&country=Kuwait&member_grade=(AssocRICS)&expert_witness=&accrediation=&page=1
We introduce the Gaussian process (GP) modeling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of GP modeling into any uncertainty quantification workflow, as well as a standalone surrogate modeling tool. We first briefly present the key mathematical tools on the basis of GP modeling (a.k.a. Kriging), as well as the associated theoretical and computational framework. We then provide an extensive overview of the available features of the software and demonstrate its flexibility and user-friendliness. Finally, we showcase the usage and the performance of the software on several applications borrowed from different fields of engineering. These include a basic surrogate of a well-known analytical benchmark function; a hierarchical Kriging example applied to wind turbine aero-servo-elastic simulations and a more complex geotechnical example that requires a non-stationary, user-defined correlation function. The GP-module, like the rest of the scientific code that is shipped with UQLab, is open source (BSD license).
Raish Khanji GTU 8th sem Internship Report.pdfRaishKhanji
This report details the practical experiences gained during an internship at Indo German Tool
Room, Ahmedabad. The internship provided hands-on training in various manufacturing technologies, encompassing both conventional and advanced techniques. Significant emphasis was placed on machining processes, including operation and fundamental
understanding of lathe and milling machines. Furthermore, the internship incorporated
modern welding technology, notably through the application of an Augmented Reality (AR)
simulator, offering a safe and effective environment for skill development. Exposure to
industrial automation was achieved through practical exercises in Programmable Logic Controllers (PLCs) using Siemens TIA software and direct operation of industrial robots
utilizing teach pendants. The principles and practical aspects of Computer Numerical Control
(CNC) technology were also explored. Complementing these manufacturing processes, the
internship included extensive application of SolidWorks software for design and modeling tasks. This comprehensive practical training has provided a foundational understanding of
key aspects of modern manufacturing and design, enhancing the technical proficiency and readiness for future engineering endeavors.
Analysis of reinforced concrete deep beam is based on simplified approximate method due to the complexity of the exact analysis. The complexity is due to a number of parameters affecting its response. To evaluate some of this parameters, finite element study of the structural behavior of the reinforced self-compacting concrete deep beam was carried out using Abaqus finite element modeling tool. The model was validated against experimental data from the literature. The parametric effects of varied concrete compressive strength, vertical web reinforcement ratio and horizontal web reinforcement ratio on the beam were tested on eight (8) different specimens under four points loads. The results of the validation work showed good agreement with the experimental studies. The parametric study revealed that the concrete compressive strength most significantly influenced the specimens’ response with the average of 41.1% and 49 % increment in the diagonal cracking and ultimate load respectively due to doubling of concrete compressive strength. Although the increase in horizontal web reinforcement ratio from 0.31 % to 0.63 % lead to average of 6.24 % increment on the diagonal cracking load, it does not influence the ultimate strength and the load-deflection response of the beams. Similar variation in vertical web reinforcement ratio leads to an average of 2.4 % and 15 % increment in cracking and ultimate load respectively with no appreciable effect on the load-deflection response.
Value Stream Mapping Worskshops for Intelligent Continuous SecurityMarc Hornbeek
This presentation provides detailed guidance and tools for conducting Current State and Future State Value Stream Mapping workshops for Intelligent Continuous Security.
The Fluke 925 is a vane anemometer, a handheld device designed to measure wind speed, air flow (volume), and temperature. It features a separate sensor and display unit, allowing greater flexibility and ease of use in tight or hard-to-reach spaces. The Fluke 925 is particularly suitable for HVAC (heating, ventilation, and air conditioning) maintenance in both residential and commercial buildings, offering a durable and cost-effective solution for routine airflow diagnostics.
☁️ GDG Cloud Munich: Build With AI Workshop - Introduction to Vertex AI! ☁️
Join us for an exciting #BuildWithAi workshop on the 28th of April, 2025 at the Google Office in Munich!
Dive into the world of AI with our "Introduction to Vertex AI" session, presented by Google Cloud expert Randy Gupta.
Concept of Problem Solving, Introduction to Algorithms, Characteristics of Algorithms, Introduction to Data Structure, Data Structure Classification (Linear and Non-linear, Static and Dynamic, Persistent and Ephemeral data structures), Time complexity and Space complexity, Asymptotic Notation - The Big-O, Omega and Theta notation, Algorithmic upper bounds, lower bounds, Best, Worst and Average case analysis of an Algorithm, Abstract Data Types (ADT)