Software Tools For Software Test Engineers & Test Managers

Must-Have Software Tools & Skills: For Software Test Professionals

3.47 (196 reviews)

Udemy

platform

English

language

Other

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

Course Gallery

Software Tools For Software Test Engineers & Test Managers – Screenshot 1 — Screenshot 1 – Software Tools For Software Test Engineers & Test Managers

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Software Tools For Software Test Engineers & Test Managers

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

Course Gallery

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