Robotframework Tutorial
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RobotFramework Tutorial
Author: Kevin Jumper
language: en
Publisher: Independently Published
Release Date: 2022-03-10
This tutorial aims at helping people who are interested in test automation to clearly understand and become familiar with RobotFramework tools. It is organized into 15 parts: Writing Your First Test Folder Structure MAC Installation Conditional Testing (If - Else) Variables User Defined 'Keywords' Shadow DOM Iframes (Simple and Nested) For Loop Dropdown, Checkbox and Radio Button Keyboards and Mouse Actions Switch Browser Windows JS - Alert, Confirm, Prompt Upload and Download API Testing Tags Database Testing Page Object Model Robot Framework is a generic open-source automation framework. It can be used for test automation and robotic process automation (RPA). Mentioned below are a list of its features: The framework was initially developed at Nokia Networks and was open-sourced in 2008. Robot Framework is open and extensible and can be integrated with virtually any other tool to create powerful and flexible automation solutions. Robot Framework has easy syntax, utilizing human-readable keywords. Its capabilities can be extended by libraries implemented with Python or Java. The framework has a rich ecosystem around it, consisting of libraries and tools that are developed as separate projects. Robot Framework is operating system and application independent. The core framework is implemented using Python and also runs on Jython (JVM) and IronPython (.NET). Robot Framework itself is open-source software released under Apache License 2.0, and most of the libraries and tools in the ecosystem are also open source.
Certified Test Automation Professional (CTAP) Courseware
With the arrival of Agile, DevOps and Scrum, Test automation can no longer be ignored as a means of testing faster and better. Where manual software testing used to be the basis for the test professional, this is shifting. Automated testing is of such importance and should be seen as a fundamental skill of every testing professional. This course gives you an overview of the most important developments in the field of test automation. You will learn what the most important varieties are in tools and why you should choose for a certain tool. You will also gain insight into the advantages and disadvantages of test automation. Finally, you will receive demos of various tools and you will work with them yourself by doing exercises. After completing this course you will be able to categorize the extensive amount of tools and you can start using one of the chosen tools. To ensure organizations that professionals have the right fundamental Test automation knowledge, the CTAP certification has been introduced. This certification guarantees test professionals who are attending this training and after completing the exam, they will receive the CTAP certificate.
Computational Intelligence Applications for Software Engineering Problems
This new volume explores the computational intelligence techniques necessary to carry out different software engineering tasks. Software undergoes various stages before deployment, such as requirements elicitation, software designing, software project planning, software coding, and software testing and maintenance. Every stage is bundled with a number of tasks or activities to be performed. Due to the large and complex nature of software, these tasks can become costly and error prone. This volume aims to help meet these challenges by presenting new research and practical applications in intelligent techniques in the field of software engineering. Computational Intelligence Applications for Software Engineering Problems discusses techniques and presents case studies to solve engineering challenges using machine learning, deep learning, fuzzy-logic-based computation, statistical modeling, invasive weed meta-heuristic algorithms, artificial intelligence, the DevOps model, time series forecasting models, and more.