Optimize your risk-based testing with AI power.

Empower your testers and enable smarter, faster, more cost-effective risk-based testing with Qualitest’s AI-supercharged suite of tools. Minimize the impact of feature failure on your business and maximize E2E customer experience.

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Manual solutions work. Our AI-powered solutions work best.

Risk-based testing done by humans is effective, but adding machine learning, algorithms and automation can bring stunning results.

Bye-bye bias.

Drive selection and prioritization with data, not tester instinct or experience, to improve accuracy and reliability.

Fewer tests, less cost, greater efficiency.

Run fewer tests by identifying those most likely to fail and those that are redundant. Our tools have proven up to 80 percent accurate in predicting test failure.

Shift-left risk elimination.

AI tools can identify the highest-risk, highest-impact areas early so you can put them on the top of the list.

What’s bugging your users? Find out fast.

Data analytics can zip through massive volumes of user feedback, scanning for repeated words and patterns that show how users feel and where they’re spending time on your site. Gain actionable insights to improve your E2E UX.

Quality at speed.

In a DevOps/Agile world of hourly releases, manual testing simply can’t keep up. You need machine learning, algorithms and automation to keep on schedule while ensuring high quality. AIs work around the clock.

Free your testers for bigger things.

AI automates the tedious, repetitive aspects of testing so testers can turn their talents to complex problems and niche or “edge” cases.

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We offer tailored testing in a broad range of industries, technologies and business initiatives. Find your focus.

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Case Study

Global Fashion Brand Soars to New Heights with Salesforce Einstein AI-driven Product Recommendations Feature Testing

When our Client wanted to integrate Einstein AI recommendations to deliver a more personalized shopping experience, this resulted in an increase in Average Order Value (AOV) and minimized the manual effort needed to create curated looks for shoppers.

Salesforce Test Automation

3 min

Blog

Risks in Generative AI and their Impact on Businesses

Generative AI is revolutionizing industries with efficiency and innovation, but it also introduces risks like biases, misinformation, privacy issues, and deepfakes. This blog explores risks associated with Generative AI, their impact on businesses, and strategies to address them effectively.

Generative AI Hallucination

12 min

Case Study

Optimizing virtual reality experiences: Rendering in the cloud over 5G

When our Client, a maker of popular Virtual Reality headsets, began to explore ways in which they could leverage virtual machines in the cloud to handle all rendering remotely, we helped them to achieve 57 global test reports, 17 targeted test reports, 2100+ unreliability reports and 6 activity trend reports

AI AR/VR/MR Test Automation

3 min

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FAQs

Here are some frequently asked questions about risk-based testing.

What are the advantages of Risk-Based Testing?

Risk-based testing is an approach to software testing that involves identifying and prioritizing tests based on the likelihood and potential impact of defects.

Here are some of the advantages of risk-based testing:

Efficient use of resources: By focusing testing efforts on the areas of the system that are most critical or likely to have defects, you can make more efficient use of your testing resources. This can help you find defects more quickly and with fewer resources.
Better coverage: Because risk-based testing prioritizes tests based on risk, it can help you achieve better coverage of the system by ensuring that you test the most critical and vulnerable parts of the system thoroughly.
Reduced testing time: By prioritizing tests based on risk, you can often reduce the amount of time needed for testing. This is because you can focus on the most important tests first, rather than wasting time on less important tests.
Improved quality: By focusing on the areas of the system that are most critical or likely to have defects, risk-based testing can help improve the overall quality of the system.
Increased customer satisfaction: By identifying and addressing high-risk areas of the system, risk-based testing can help reduce the likelihood of defects that could impact customer satisfaction.

Overall, risk-based testing can help you achieve more efficient and effective testing, better coverage of the system, and improved quality and customer satisfaction.

How do you implement risk-based testing?

Implementing risk-based testing involves several steps, including the following:

Identify risks: The first step is to identify potential risks to the system, such as functional requirements, business priorities, user expectations, technical complexity, and system dependencies.
Assess risks: Once you have identified potential risks, you need to assess each risk in terms of its likelihood and impact. You can use various risk assessment techniques, such as probability and impact analysis, risk matrices, and risk registers, to evaluate and prioritize risks.
Define test objectives: Based on the risk assessment, define test objectives that prioritize high-risk areas of the system. These test objectives should specify what needs to be tested, how it should be tested, and what criteria will be used to determine whether the tests have been successful.
Develop test cases: Develop test cases that address the high-risk areas of the system identified in the risk assessment. These test cases should be designed to detect defects that could have a significant impact on the system.
Execute tests: Execute the tests according to the test objectives and test cases defined in the previous steps. Record the results of each test and any defects detected.
Analyze results: Analyze the test results to determine whether the system meets the test objectives and to identify any high-risk areas that were not adequately addressed.
Repeat the process: Use the insights gained from the previous steps to refine the risk assessment, test objectives, and test cases, and continue the testing process until the system meets the desired level of quality.

Overall, implementing risk-based testing requires a systematic and iterative approach to identify, assess, and prioritize risks, and to design and execute tests that address the most critical areas of the system.

Why choose Qualitest for Risk-Based Testing?

Qualitest’s Risk-Based Testing approach ensures optimal test coverage for critical business areas, identifying potential risks and mitigating them. With our proven methodologies and advanced automation tools, we deliver high-quality results while reducing time and cost.