10-Step Guideline on Using AI to Enhance Your Test Automation Strategy

The Opportunity: Why is AI-driven Test Automation so Essential Today?

Businesses are always on the lookout for solutions that can upgrade their applications, in turn, driving transformation across the development and testing of the applications. While the existing methods were meeting business needs, there is a need for frequent and faster development and testing. 

AI and ML stand out as transformational technologies of our digital age that have the power to bring innovation, stability, and speed to the applications.

The Solution: 10 Guidelines 

The question is: Is your business/team ready to take advantage of it? If yes, here’s how you can set your team up for accelerated releases, enhanced decision-making, innovation, and agility. 

Identify The Need for AI and Set Clear Goals 

What is your objective to use AI in your Test Automation Journey? To reduce defects? To reduce infrastructure overhead? Or To enhance time to market?

The first crucial step in using AI in test automation is defining clear and measurable goals. Well-defined goals clarify the expected benefits of using AI in test automation, fostering stakeholder and team support for the initiative.

Understand Your Testing Maturity Model (TMM) Level

Where does your current testing process stand? Initial? Managed? Defined? Measured? Optimized?

Assess your current TMM level to help you identify current pain points and bottlenecks, areas for improvement, and develop a roadmap for maturing your software testing practices.

Further Reading – Evaluate your TMM level and understand how integrating AI into your testing strategy can help to improve your team’s testing efficiency. 

Choose The Right AI Tool

There are numerous AI-powered testing tools available, such as Tesim, Webomates, and Applitools. Evaluate their AI capability features like test case generation, defect analysis, compatibility with your existing testing framework, and how well they align with your defined objectives.

Further Reading – Not sure what features to look out for while finalizing a tool? Refer Points to consider while choosing the right tool. 

Here is The Ultimate List of AI Test Automation Platforms in 2024 based on our research. The article also focuses on the parameters you need to consider for evaluating the best fit for your team based on your needs.

Calculate The ROI of Test Automation

Not every test scenario can or should be automated. When referring to test automation, ROI weighs the costs involved in implementing and maintaining automated tests against the benefits gained from improved testing efficiency and quality.

You can use the following formula to calculate ROI.

ROI = (Benefits  — Costs) / Costs x 100

Further Reading – Check out the details here on How To Calculate The ROI Of Test Automation. It will also help you in Calculating Time and Cost Benefits that you stand to gain with the use of AI in test automation.

Leverage AI for Test Data and Test Case Generation

Today, data is the king. And AI thrives on data. 

Generate data: AI algorithms can analyze existing data sources, such as databases to understand data patterns. This helps in creating a robust training dataset for your AI models, ensuring they are well-prepared to handle diverse testing scenarios such as positive and negative test cases, and edge cases.

Generate test cases: AI algorithms can automatically generate test cases by analyzing the application’s requirements, historical data, and any patterns in user behaviors. This frees up human testers to focus on higher-level tasks like exploratory testing and analyzing results.

Prioritize test cases:  AI Testing can also help you prioritize test cases according to their impact and probability of failure.

Move to Low Code/No Code Test Automation

If your team’s primary goal is to enhance collaboration and accelerate testing cycles, selecting low code/no code test automation platforms will be beneficial as they offer code templates and pre-built features. 

The AI-powered automation with self-healing capability will help you address the major bottleneck related to flaky tests, and deal with synchronization issues or dynamic elements.

Integrate AI with Your CI/CD/CT Pipeline

By integrating AI into your CI/CD/CT pipeline (Continuous Integration, Continuous Delivery, Continuous Testing), you can automate the repetitive tasks freeing up the testers and developers for more productive tasks. 

Continuous testing, using Webomates CQ, helps customers get scheduled updates and actionable insights timely without any manual effort. AI-driven code analysis tools can also help you detect code defects early in the development process, providing immediate feedback.

Further Reading – Read on to know Why Continuous Testing is important for CI/CD.

Invest in Predictive Analytics for Defect Prevention  

Do you know what False Fail is?

Without AI, determining whether there is an actual defect in the system takes a lot of time. AI tools, such as AI Defect Predictor tool, can help you save massive amounts of time spent in analyzing the defect. 

AI can predict potential defects, and performance issues, and find the locus of defects helping you speed up the defect-fixing process. This proactive approach prevents defects from reaching production, thereby reducing user defects.

Embrace Cloud Testing

Cloud-based testing platforms offer unprecedented agility by enabling on-demand testing and scalability, allowing teams to adapt testing strategies as project requirements evolve. It also helps in reducing your operational and infrastructural costs.

AI-based test automation includes various aspects such as UI Testing,  API Testing, along with nonfunctional testing. Its self-healing test automation framework can dynamically adapt the testing scope to the changes, eliminating the need for any manual updates.

Further Reading – Take a look at this animation and know the three easy steps you can take to AI automate your application.

Gather Test Insights to Make Data-Driven Decisions 

AI-powered tools help you with test insights into the entire CI/CD pipeline to understand the impact every change is having on the product. 

These insights will help developers and testers make informed decisions about application development and testing strategies.

Webomates: A Valuable Difference 

Customer loyalty is fueled by seamless, personalized experiences. That’s what Webomates helps you achieve!

With its unique Testing-as-a-service, Webomates has raised the bar in quality AI testing by supporting the business’ needs to test applications with quality, speed, and agility.  

With the help of Webomates Testing, our customers are able to:

AI is there to help you increase your efficiency! Introduce your team to AI Testing for an improved efficiency and speed up your software delivery! Schedule a demo to discover the full potential of our AI-driven software testing solutions that can boost your business outcomes, increase productivity, and accelerate product releases. 

You can also reach out to us at info@webomates.com

Tags: AI Testing, Software Testing, Test Automation, Test Automation Strategy