Quality Engineering

20th Mar 2018

Agile Testing Life Cycle

Share:

Agile Testing Life Cycle

As the intricacy of software continues to grow and time to market shortens, software QA Services becomes a serious business.

Testers have to be responsible for quality response to developers instantaneously along with the development cycle.

This is an age of continuous integration and companies started embracing this new change.

Test smarter, not harder !!!

There is no choice, other than surviving the lashing pace of the software unveilings.

Today, releases that happened once a week and updates are often made several times a day.

By implementing Artificial Intelligence (AI) into the existing testing practices, businesses can move beyond traditional testing practice to completely automated testing.

But wait a minute!! How did we forget the most preferred way of software development?

i.e. Agile Testing practice!!!

When to use Agile model

  • Terms will not be completely understood by all shareholders
  • The client will never realize what they need until the point when they watch a working program
  • An intuitive framework cannot be completely specified nor be able to ever be completely tested.
  • Software develops all the more quickly in disorderly conditions

Advantage of Agile Testing Practice

QUALITY

Improve the the quality of software testing process

FLEXIBILITY

Flexible methods and adjustable to drastic changes.

TIME TO MARKET

Adaptable methodologies and versatile to radical changes.

Test Plan for Agile

Typical test plan in agile includes

  • Testing Scope
  • Consolidating new functionalities to be tested
  • Level or Types of testing
  • Load & Performance Testing
  • Infrastructure Consideration
  • Mitigation or Risks Plan
  • Resource Planning
  • Deliverables & Milestones

Agile Testing Lifecycle

A well designed agile testing approach includes the following four steps –

  • Impact analysis
  • Agile Testing Planning Meetup
  • Release Readiness
  • Daily Scrums
  • Agility Review

Is Your Application Secure? We’re here to help. Talk to our experts Now

Inquire Now

Agile Testing is completely different from waterfall method. It can commence at the beginning of the project and there is option for continuous integration between testing and development through the project. It is not in sequence but incremental and continuous.

The Agile team works towards one goal of achieving Quality. It has a capability of shortening the periods called iterations. This process is called a release. Agile testing helps to work in delivery driven methodology.

Author

Abhay Das

Share:

Latest Blogs

Model Context Protocol Explained: The ‘USB-C’ Standard for Connecting AI Models to Real-World Data

Data & Analytics

31st Jul 2025

Model Context Protocol Explained: The ‘USB-C’ Standard for Connecting AI Models to Real-World Data

Read More
AI in Insurance: How Analytics Automation is Transforming Underwriting & Claims Processing? 

Intelligent Automation

30th Jul 2025

AI in Insurance: How Analytics Automation is Transforming Underwriting & Claims Processing? 

Read More
Introducing LIFTR.ai: An Agentic AI-Powered Application Modernization Platform 

Product Engineering

30th Jul 2025

Introducing LIFTR.ai: An Agentic AI-Powered Application Modernization Platform 

Read More

Related Blogs

Generative AI in Test Case Design: Automating End-to-End QA 

Quality Engineering

18th Jul 2025

Generative AI in Test Case Design: Automating End-to-End QA 

Today’s software developers are under more pressure than ever to produce high-quality products quickly. Release...

Read More
Accelerating Product Launches with Automated Embedded QA

Quality Engineering

16th Jul 2025

Accelerating Product Launches with Automated Embedded QA

In today’s fast-moving dev world, where speed can make or break a product, the usual...

Read More
The Rise of Agentic AI in Testing: Pioneering the Future of Autonomous QA

Quality Engineering

10th Jul 2025

The Rise of Agentic AI in Testing: Pioneering the Future of Autonomous QA

Modern software development demands speed and agility, straining traditional testing methods. Agentic AI in test...

Read More