Artificial Intelligence in Testing

Artificial Intelligence in Testing

Leverage AI in Testing for Faster and Smarter Software Testing

Accelerate Test Creation, Maintenance, Execution, and Test Coverage to Generate Better Outcomes

Leverage AI in Testing for Faster and Smarter Software Testing

Accelerate Test Creation, Maintenance, Execution, and Test Coverage to Generate Better Outcomes

AI in Software Test Automation

AI in testing services is changing the way businesses approach quality assurance by providing more accurate and timely insights into areas of improvement. By leveraging self-learning and analytical technologies, our AI testing service is able to provide a more comprehensive view of your quality assurance process and identify areas where you can make changes to improve efficiency.

Benefits of Leveraging AI in Software Testing

Visual-Validation

Visual validation – AI’s pattern recognition and image recognition capabilities can be combined to detect visual bugs in applications by performing visual testing. It ensures that visual elements are attractive and work properly.

Visual-Validation

Visual validation – AI’s pattern recognition and image recognition capabilities can be combined to detect visual bugs in applications by performing visual testing. It ensures that visual elements are attractive and work properly.

test-Coverage

Test coverage is Better– AI in testing improves test coverage. It can seamlessly check file contents, memory, and internal program state.

Improve-Accuracy

Improve Accuracy – The chances of human-prone errors in manual testing are high, particularly when repetitive tasks are involved. These human-prone errors can be eliminated with automation testing. With the introduction of AI in automation testing, repetitive tasks can be handled more efficiently, and results are more accurate.

Improve-Accuracy

Improve Accuracy – The chances of human-prone errors in manual testing are high, particularly when repetitive tasks are involved. These human-prone errors can be eliminated with automation testing. With the introduction of AI in automation testing, repetitive tasks can be handled more efficiently, and results are more accurate.

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Saves time, money, and Effort – Software tests must be run every time there is a change in the source code. This can be time-consuming and requires a lot of testers. AI-driven tests make repetitive tasks easy, fast, and efficient.

reducing-defects

Reducing defects – AI in testing aids in early and rapid bug identification, making the product reliable and bug-free for end-users.

How does AI Overcome QA Challenges in Testing?

When organizations leverage AI capabilities in software testing, they can optimize true potential within the existing practices.
Let’s see some of the ways how AI can help beat the QA challenges:

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Speeding up Reversal Testing & Finding Suitable Test Treatment

With the help of AI, Regression sequences can be tailored to establish what is essential and how much throughout the entire process.

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Optimized Test & Probability of Ignored Bugs Decreased

Rather than taking a chaotic testing tactic, AI allows you to focus on risky areas, thus improving effectiveness and giving class experience, and reducing ignored bugs probability substantially.

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Release Effect

Combining test records, neural networks, and data from existing test runs foresees how a forthcoming release affects the user.

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Root Cause Analysis

Sometimes QA Engineers do everything they are supposed to do right, but some bugs go unnoticed. This is where the tester will have to analyze the incident, which can be analyzed quickly with the implementation of AI.

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Client Forecasting

Forecasting enables enterprises to evaluate their client’s data for a better understanding of their needs regarding the latest products and features.

Our Test Offerings

To simplify the QA process and aim for significant changes in quality, test analysis, user experience, turnaround time, and cost, Cogniwize blends its QA and test skills with AI-powered IP.

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Test Data
Management

  • Identity Reclaimable Test Data
  • Set Up Test Data for Reprocess & Automation
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Test Case
Generation

  • MBT Creation
  • Exploratory Testing
  • Pairwise Testing BOTs
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Test Automation &
Implementation

  • Automatic Test Environment Setup
  • Smart Dashboards
  • ML-Based Auto Error Bucketing
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Coverage Assessment for
Risk Management

  • End-To-End Detectability
  • Functional Point Evaluation
  • Risk Projection
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Test Case
Optimization

  • Eliminating Duplicates & Componentizing
  • Combinatorial Assessment
  • Boost for Maintenance
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Fault Detection
( Projection )

  • Detect Irregularities
  • Detect Projection

Our Tools Expertise

Why Choose Us?

Cogniwize believes in providing industry-leading solutions and a smooth conversion experience to its customers.
By joining forces with us, organizations can leverage:

  • Adaptable, modular solution :

Our versatile, result-oriented platform is tool cynic and flexible with the capability to provide AI testing services.

  • Intelligent platform :

Cogniwize’s AI Studio is a compatible solution that gives an intellectual advantage by integrating AI capabilities.

  • Market leaders :

Cogniwize is identified as one of the forerunners in leveraging AI in the quantitative easing space.

  • Transformation-led style :

We have widespread R&D understanding and dedicated labs that support developing technologies.

  • Robust environment :

Our agreeable solution includes top-in-line tools to run superior QE.

We’d love to keep in touch!

Got a query? No problem. Please provide information about your business needs, our experts team are here to help you out!