This tutorial shows how Selenium and Jenkins fit in DevOps LifeCycle for Continuous Testing.

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Agenda

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Agenda For The Session
i. What Is Automation Testing With Selenium?
ii. What Is DevOps?
iii. Role Of Selenium In DevOps Life Cycle
iv. Selenium + Jenkins  Achieving Continuous Testing
v. Demo: Creating Test Cases & Building Jobs (Selenium + Jenkins)

3. Copyright © 2017, edureka and/or its affiliates. All rights reserved.
Selenium Automation Testing Tool
Selenium is an open-source tool which automates web browser testing.
It is mainly used for functional testing (unit testing & regression testing).
Programming Language
Support
Web Browser Support
Operating System Support

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What Is DevOps?
Let’s understand what is DevOps and what is the
need for DevOps methodology.

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What Is DevOps?
DevOps is a software development approach which involves Continuous Development, Continuous Testing, Continuous
Integration, Continuous Deployment & Continuous Monitoring of the software throughout its development lifecycle.

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Selenium’s Role In DevOps Lifecycle
DevOps is a software development approach which involves Continuous Development, Continuous Testing, Continuous
Integration, Continuous Deployment & Continuous Monitoring of the software throughout its development lifecycle.
Jenkins

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Selenium + TestNG + Jenkins
Now let’s understand how Selenium & TestNG are used to create
test cases, and how Jenkins is used to build jobs.

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Achieving Continuous Testing
Create test cases
with Selenium on
Eclipse IDE
1
Create XML files
for executing
TestNG test suite
2
Create windows
batch file
3
Build Jenkins job
by executing the
batch file
4
Schedule Jobs &
configure Email
notification
5

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Hands-on:-
Selenium + TestNG + Jenkins
Demo: Creating Test Cases & Building Jobs
(Selenium + TestNG + Jenkins)

10. Copyright © 2017, edureka and/or its affiliates. All rights reserved.
Session In A Minute
Selenium Automation Testing Tool
Achieving Continuous Testing
Selenium’s Role In DevOps Lifecycle
Demo:- Selenium + TestNG + Jenkins

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WebDriver vs. IDE vs. RC
➢ Data Warehouse is like a relational database designed for analytical needs.
➢ It functions on the basis of OLAP (Online Analytical Processing).
➢ It is a central location where consolidated data from multiple locations (databases) are stored.