Why Should Your Team Implement Continuous Testing?
April 20, 2020

Michael Hackett
LogiGear

If you talk to any Manager today, Continuous Testing (CT) is probably high on their list of goals for the year. But, they often don't state the why for implementing Test Automation and CT. When you look at the effects of CT and the myriad of benefits it provides, it makes sense: Continuous Testing helps to deliver immediate feedback, and can give a business an advantage with minimized risks and unblocked testing bottlenecks in the Agile/DevOps environments that will ensure a faster experience.

It's commonly acknowledged that Test Automation is a necessity for Continuous Testing (CT). Oftentimes, however, automated tests are created without considerations for the business risks, whereas Continuous Testing prevents high-risk release candidates from being rolled out to end customers. In comparison, Continuous Testing involves more extensive testing by running various types of tests, from exploratory to security, throughout the delivery process. Although ideal, successfully implementing CT is a difficult goal to achieve.

It will require a lot of changes to be implemented on the development team's behalf, and for the overall testing process to be rethought. Here are 6 tips to help your team progress into Continuous Testing:

Devise an Intelligent Test Automation Strategy

An intelligent Test Automation Strategy is necessary for Continuous Testing. First, you'll need to define your goals and adopt the right approach to ensure success. Next, you must choose the right people and tools to follow a structured methodology.

Embrace CI/CD

Testing in CI/CD is essential for DevOps, as it allows for the delivery of code changes more frequently and reliably. The CI/CD pipeline enables the frequency of Continuous Testing to be executed throughout Test Automation.

CT Needs a Cultural Shift – Everyone Contributes to Quality

The collaboration of Dev, QA, and Ops is crucial for Testing in Continuous Delivery. Each group contributes in different aspects to come together and accomplish the central goal of Continuous Testing success:

■ Developers automate unit tests and integrate these tests with CI/CD pipeline.

■ QA integrates automated integration, functional, and non-functional tests to the pipeline.

■ Ops deals with production infrastructure, monitoring, and other related activities.

Choose the Right Automation Solution for CT

When selecting the right Automation tools, you need to keep in mind the different components that can guarantee Continuous Testing success. Factors to consider in the selection process include:

■ Budget

■ Maintenance

■ Support

■ Documentation

■ Technical Ability

Although it may be difficult to decide what is best for you, it is important to choose tools that can adapt to your skills. There are a myriad of proprietary source tools, and open source tools on the market.

Create Strong Requirements and Define Tests Early

This builds on the point that I mentioned earlier in #1, about devising a Test Automation strategy. Part of this strategy includes defining clear requirements from the start so that there is no wasted time nor effort in the process. Practices like static testing, Behavior-Driven Development (BDD), acceptance test-driven development (ATDD), Keyword-Driven Testing, Action-Based Testing (ABT), and usage of model-based testing tools can greatly aid to overcome requirements ambiguity and define tests early.

Create Virtualized Test Environments on Demand with Production-like Data

In order to create a virtualized test environment, this needs to be short-lived and destroyed after use with test data on demand. QA and Dev teams should be able to create an environment with CI/CD tools that will reduce waiting times and Ops dependencies. Test data needs to be as similar as possible to production. If not, it would be more difficult to find issues of production in the future.

Summary

The goal of Continuous Testing is to test early and test often; for organizations, the first step towards implementing CT is releasing great software code continually. Once this happens, CT will start providing great advantages to the business in the form of quality and minimized risk.

However, as you can see, implementing CT isn't as easy as just deciding to do it; it requires an entire rethinking of your testing processes and the culture within your organization. If you are looking to make the transition to CT but are unsure how, you can get expert help.

Michael Hackett is Co-Founder and SVP at LogiGear
Share this

Industry News

December 03, 2024

SmartBear announced its acquisition of QMetry, provider of an AI-enabled digital quality platform designed to scale software quality.

December 03, 2024

Red Hat signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to scale availability of Red Hat open source solutions in AWS Marketplace, building upon the two companies’ long-standing relationship.

December 03, 2024

CloudZero announced the launch of CloudZero Intelligence — an AI system powering CloudZero Advisor, a free, publicly available tool that uses conversational AI to help businesses accurately predict and optimize the cost of cloud infrastructure.

December 03, 2024

Opsera has been accepted into the Amazon Web Services (AWS) Independent Software Vendor (ISV) Accelerate Program, a co-sell program for AWS Partners that provides software solutions that run on or integrate with AWS.

December 02, 2024

Spectro Cloud is a launch partner for the new Amazon EKS Hybrid Nodes feature debuting at AWS re:Invent 2024.

December 02, 2024

Couchbase unveiled Capella AI Services to help enterprises address the growing data challenges of AI development and deployment and streamline how they build secure agentic AI applications at scale.

December 02, 2024

Veracode announced innovations to help developers build secure-by-design software, and security teams reduce risk across their code-to-cloud ecosystem.

December 02, 2024

Traefik Labs unveiled the Traefik AI Gateway, a centralized cloud-native egress gateway for managing and securing internal applications with external AI services like Large Language Models (LLMs).

December 02, 2024

Generally available to all customers today, Sumo Logic Mo Copilot, an AI Copilot for DevSecOps, will empower the entire team and drastically reduce response times for critical applications.

December 02, 2024

iTMethods announced a strategic partnership with CircleCI, a continuous integration and delivery (CI/CD) platform. Together, they will deliver a seamless, end-to-end solution for optimizing software development and delivery processes.

November 26, 2024

Check Point® Software Technologies Ltd. has been recognized as a Leader and Fast Mover in the latest GigaOm Radar Report for Cloud-Native Application Protection Platforms (CNAPPs).

November 26, 2024

Spectro Cloud, provider of the award-winning Palette Edge™ Kubernetes management platform, announced a new integrated edge in a box solution featuring the Hewlett Packard Enterprise (HPE) ProLiant DL145 Gen11 server to help organizations deploy, secure, and manage demanding applications for diverse edge locations.

November 26, 2024

Red Hat announced the availability of Red Hat JBoss Enterprise Application Platform (JBoss EAP) 8 on Microsoft Azure.

November 26, 2024

Launchable by CloudBees is now available on AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS).