×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Selenium Framework Design in Data-Driven Testing. Build data-driven test frameworks using Selenium WebDriver, AppiumDriver, Java, and TestNG Carl Cocchiaro

(ebook) (audiobook) (audiobook) Książka w języku 1
Selenium Framework Design in Data-Driven Testing. Build data-driven test frameworks using Selenium WebDriver, AppiumDriver, Java, and TestNG Carl Cocchiaro - okladka książki

Selenium Framework Design in Data-Driven Testing. Build data-driven test frameworks using Selenium WebDriver, AppiumDriver, Java, and TestNG Carl Cocchiaro - okladka książki

Selenium Framework Design in Data-Driven Testing. Build data-driven test frameworks using Selenium WebDriver, AppiumDriver, Java, and TestNG Carl Cocchiaro - audiobook MP3

Selenium Framework Design in Data-Driven Testing. Build data-driven test frameworks using Selenium WebDriver, AppiumDriver, Java, and TestNG Carl Cocchiaro - audiobook CD

Autor:
Carl Cocchiaro
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
354
Dostępne formaty:
     PDF
     ePub
     Mobi
The Selenium WebDriver 3.x Technology is an open source API available to test both Browser and Mobile applications. It is completely platform independent in that tests built for one browser or mobile device, will also work on all other browsers and mobile devices. Selenium supports all major development languages which allow it to be tied directly into the technology used to develop the applications. This guide will provide a step-by-step approach to designing and building a data-driven test framework using Selenium WebDriver, Java, and TestNG.

The book starts off by introducing users to the Selenium Page Object Design Patterns and D.R.Y Approaches to Software Development. In doing so, it covers designing and building a Selenium WebDriver framework that supports both Browser and Mobile Devices. It will lead the user through a journey of architecting their own framework with a scalable driver class, Java utility classes, JSON Data Provider, Data-Driven Test Classes, and support for third party tools and plugins.

Users will learn how to design and build a Selenium Grid from scratch to allow the framework to scale and support different browsers, mobile devices, versions, and platforms, and how they can leverage third party grids in the Cloud like SauceLabs.

Other topics covered include designing abstract base and sub-classes, inheritance, dual-driver support, parallel testing, testing multi-branded applications, best practices for using locators, and data encapsulation.

Finally, you will be presented with a sample fully-functional framework to get them up and running with the Selenium WebDriver for browser testing.

By the end of the book, you will be able to design your own automation testing framework and perform data-driven testing with Selenium WebDriver.

Wybrane bestsellery

O autorze książki

Carl Cocchiaro has a bachelor's degree in business and over 30 years of experience in the software engineering field, designing and building test frameworks for desktop, browser, and mobile applications. He is an expert in the Selenium WebDriver/TestNG Java-based technologies. He is a certified SilkTest engineer and has architected UI and RESTful API automation frameworks for 25 major corporations. Carl is currently a software architect, quality engineering at RSA/Dell technologies, Boston, MA, USA.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
125,10 zł
Dodaj do koszyka
Zamknij Pobierz aplikację mobilną Ebookpoint
Zabrania się wykorzystania treści strony do celów eksploracji tekstu i danych (TDM), w tym eksploracji w celu szkolenia technologii AI i innych systemów uczenia maszynowego. It is forbidden to use the content of the site for text and data mining (TDM), including mining for training AI technologies and other machine learning systems.