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  4. Continuous Testing for Agile and DevOps Using Testsigma

Continuous Testing for Agile and DevOps Using Testsigma

Learn how to use an automated testing tool to run continuous testing and take advantage of AI-driven test case maintenance.

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Renju Jose user avatar
Renju Jose
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Jul. 11, 18 · Tutorial
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It has not been long since Agile and DevOps practices were introduced and all companies started their run towards them. The mainstream adoption of Agile reduced the duration of release cycles from months to weeks or even days. However, with this increased pace of releases began the struggles of QA personnel to ensure quality in the limited time available to them before the release is shipped off. A necessary change was due and this need for change led to the inception and widespread adoption of continuous testing.

Continuous testing is one of those buzzwords we keep hearing in all walks of the modern Software Development Life Cycle. In simple words, it is nothing but testing early (from the requirement phase), testing often (in every phase of the SDLC) and automating it (using CI/CD) so that testing activities are done with minimal user intervention and provide insight into the business risks involved early in the release cycle.

Continuous testing is not just limited to test automation. It is tightly coupled with DevOps practices, which require an amalgamation of shift-left and shift-right approaches and demand changes in the whole organization, starting from people involved with the tools used across the SDLC. Let us see how Testsigma can help you achieve continuous testing in today's quest towards Agile and DevOps-oriented software development.

Start Creating Tests Right From the Design Phase Based on a Shift-Left Approach

Using Testsigma, you can start creating automated tests even before a build is available. You can start writing test cases and formulating test steps using simple natural language grammar as soon as the design is available. Also, editing these at a later stage is an easy task.

A shift-left approach to testing ensures that bugs are caught early in the release cycle. This reduces the effort and cost of fixing them.


Diverse and Highly Scalable Cloud Test Environments to Run Tests Continuously

Due to the availability of a cloud environment, in addition to support for local test machines, you can scale up your test environment according to product requirements with just a few clicks.

Also, there are thousands of device/OS/browser/version combos available to select from, which increases the coverage and simplifies compatibility testing.


Reduce Feedback Time for Test Execution to Find and Fix Bugs Faster

It is possible to reduce the execution time up to a 16th of the regular execution time using concurrent test execution. This reduces the feedback time, and faster feedback helps in shipping quality product in less time and reduces maintenance costs.


Customized Notifications With Actionable Feedback for Stakeholders About Test Status and Results

Testsigma gives actionable feedback to all the stakeholders and selected team members about test execution status and results via various channels, such as email, or more advanced team collaboration apps such as Slack.


Integrate Testsigma Into Your CI/CD Pipeline Easily to Automate Test Initiation

Integrate your favorite CI tools with Testsigma to include test automation in the CI/CD pipeline for maintenance-free releases that respond to build failures or success with little to no human interaction.

Apart from the available plugins, new ones are readily added by the Testsigma team as per user suggestions.

Image title

CI Integration Details

Natural Language-Based Test Steps Provide a Unified Platform for Technical and Executive Team Members

The proprietary natural language-based test creation approach allows equal collaboration from the technical as well as non-technical workforce, which helps to discern defects or root causes that are missed by the technical team.

Image title

Maintain Your Tests Using Testsigma's AI-Assisted Test Case Maintenance

The use of AI in test orchestration helps to identify potential failures and defect root causes and automatically suggests actionable modifications to avoid test failure. Also, the dynamic locator strategy helps avoid test flakiness due to structural changes to the HTML DOM.


If you would like to know more, please check out the Testsigma website for more details.

Welcome to the era of #SmartTestAutomation!

Pipeline (software) agile Testing DevOps Continuous Integration/Deployment Software development Release (computing) Execution (computing) Test case Test automation

Opinions expressed by DZone contributors are their own.

Related

  • DevOps Best Practices
  • Why Incorporate CI/CD Pipeline in Your SDLC?
  • Agile Testing: Blending Shift-Left, Automation, and Collaborative Testing Strategies
  • CI/CD Metrics You Should Be Monitoring

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