Experitest Blog

Discover the Importance of Continuous Testing In an Analytics-Driven World

In today’s digital age, your ability to retain customers is directly connected to your ability to build products quickly. Not only that but also deliver them faster than your competitors with the latest updates and features.

It does sound daunting, but regular analytics along with continuous testing makes it a seamless process. The analytics in the software development pipeline gives you immediate feedback on the risks associated with it.

Moreover, with continuous testing in analytics, there is no single factor to work on. Instead, there is a series of practices that help you with effective product development and delivery.

This article is going to walk you through:

  • Importance of analytics for businesses
  • Why is test analytics important for web and mobile testing?
  • Test analytics for continuous testing
  • Roadblocks in continuous testing
  • Important features for your test analytics tool

 

Why Are Analytics Important For Businesses?

There is no denying that growth in artificial intelligence, machine learning, automation, and the Internet of Things is defining every business process. Many business owners have taken this one step further with an investment in data analytics.

According to new research from Forbes Insights and Cisco, analytic strategies have become an important part within nearly all businesses. 51% of C-suite leaders at 207 large enterprises in both Europe and North America say that analytics is going to have increased importance for growing and maintaining market share over the next two years.

With analytics, the businesses stay on top of capabilities without significant capital. Decision makers can discover and manage data, and data center storage protects against viruses. Furthermore, it leads to faster innovation cycles, direct data monetization, and is also transforming the world from process to data-driven.

Why Test Analytics Matters for Web and Mobile Testing?

Testing, be it mobile or web is now moving away from waterfall and iteration model and is turning towards feedback oriented continuous testing method.

What is Continuous Testing?

In the Continuous DevOps process, a web or mobile app changes from development to testing to deployment. The continuous testing process helps the developer to find risks, address them and improve the quality of the product. It also executes automated tests as a part of software delivery lifeline to get immediate feedback on business risks associated with it.

Test Analytics for Continuous Testing

During continuous integration and testing, test analytics serve as a major tool that helps you increase your user and customer experience. According to Gartner, to Gartner, real-time analytics precise, faster, and effective decisions that conventional ones.

The test analytics calculate risk, and the amount of testing necessary. It also leads to quick identification and warnings through which an organization can deliver fast solutions to fix issues and provide high-quality products.

Moreover, it also offers analytical insights that uncover ways to reduce expenses. With this, the payoff of test analytics is quite clear and beneficial.

Roadblocks in Continuous Testing

Agile teams are aware that they need to practice continuous testing. But there are instances when process decays, does not expand, or desired results are not achieved.

It all comes down to some roadblocks that fall into the following three categories:

  • Time

The development teams underestimate the resources and time required for test automation. You need be sure to test all stages without any extra delays in the delivery.

  • Complexity

Testing a small stage in a web app is easy. At the same time, automating a business critical mobile with a number of technologies and complex setup comes as an endeavor on its own. The development team needs to ensure that the testing resource has the capability to work for all technologies.

You should have easy and cost-effective access to systems for tests. Moreover, you also need a systematic way to unveil complex usability issues affecting the user experience.

  • Results

At some points, results are not capable of indicating how much of the application’s functionality is tested or working. Now trying to track this data requires a manual investigation that leads to incorrect answers and delays.

However, in the times of agile and DevOps, you need to make descisions instantaneously, while automatically fixing any issues.

Although the digital age demands continuous integration, these roadblocks prevent the testing teams from adopting this approach.

So, to make it effective and fix the above roadblocks, you need a Test Analytics System to help you understand your test executions.

Features Your Test Analytics System Needs Right Now

As stated, continuous testing comes with a number of roadblocks.

This testing process also leads to a huge amount of test results data generated the code test cycles. However, the data needs to be filtered so that the test teams can make most of it. It is also essential to analyze to prevent the bottlenecking in the DevOps process.

The SeeTEst platform includes a Test Analytics System and consolidates all your digital test results for both web and mobile. With this system, the user gains end-end-end insights and can drive improvements.

continuous testing analytics

Experitest Dashboard

It comes with a quality dashboard with a single snapshot containing key information on the web and mobile apps. The dashboard also shows you test coverage rate and execution status. The user can monitor an entire QA program from a single place.

Experitest’s Digital Test Analytics shortens investigation times, weed out repetitive failures, and automatically identifies the trouble areas in your application.

continuous testing analytics

Experitest Digital Test Analytics

The best part is that it highlights the factors causing your test to fail. It also manages the fault investigation workflow by assigning group tests to organizational units, receiving feedback, and then integrating it with defect management systems.

You can click here to get started!

 

codeless automation

Jonny SteinerContent Manager

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