Software Tools For Software Test Engineers & Test Managers
Must-Have Software Tools & Skills: For Software Test Professionals
3.46 (195 reviews)
999
students
5.5 hours
content
May 2024
last update
$49.99
regular price
What you will learn
Know-how to manage software test activities with Jira, XRay the, most popular tools in the market.
Take advantage of the Free trial version to learn the ins & outs to manage test activities with Jira XRay Cloud.
Gain & build rapid competences in Jira & XRay through, simulated scenarios & project examples.
Take advantage of XRay reporting capabilities & generate test coverage, traceability, tests list, test execution, test plans & test plans metrics reports.
Create project Epics, User Stories, Environments, Components & Versions.
Schedule & prioritize Sprints according to project deadlines and prioritize user stories in project backlog.
Create & manage test activities: user stories, test steps, test sets, test plans & test execution.
Create Filters & reuse them to create project Boards and Dashboards.
Create test runs, execute tests, link defects to user stories under test to provide adequate test coverage.
Create & customize Dashboards, add gadgets and share project Dashboards with team, group or project members.
In the "Extras" section you will access "How to videos" and Integration with CI&CD tools
Other X-Ray Test Types, BDD Cucumber in Agile UAT environment, Cucumber feature file in Katalon Studio & The Online Shopping project example
Bonus section: How to integrate IntelliJ IDE with Jira to continuously execute and update Jira test issues.
Bonus section: How to integrate Bitbucket & Jira
Create Bitbucket Pull requests and pipelines.
Create Bitbucket branch based on Jira issue.
Bitbucket Cloud - Connect your project repository.
Overview - Test Management Phases
Software environments, DevOps and CI/CD
Test Data Management and Test Data Generation
Data Science & Data Analytics tools ( Anaconda, Jupyter Notebook, Neural Network and Deep learning packages)
Manipulating data with numpy and pandas libraries.
Case Study: Real-World Integration & Verification Strategies for Industrial Applications
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Related Topics
2255228
udemy ID
3/5/2019
course created date
11/23/2019
course indexed date
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