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Category Archives: AI
Predictive Analytics in Software Testing: Enhancing Quality and Efficiency
Traditional software testing typically emphasizes technical, business, and functional requirements. This approach addresses many scenarios but often misses a key factor: how real users interact with the application
November 29, 2024
88193 Views
13 Min Read
Software Defect Prediction: Approaches and Best Practices
Predicting software defects before they occur is a critical challenge in software development. Defects can lead to costly delays, poor user experiences, and security vulnerabilities.
November 28, 2024
62465 Views
10 Min Read
What Is Autonomous Testing: A Detailed Guide
Testers often deal with complex software applications requiring extensive coverage, handling flaky tests, and meeting tight release deadlines. Also, limited skilled resources and high test maintenance overhead add to the pressure, making it hard to scale traditional testing methods.
November 26, 2024
57932 Views
13 Min Read
What Is AI Testing: Strategies, Tools and Best Practices
AI testing is the integration of artificial intelligence into the test process to enhance automation, improve accuracy, and accelerate test execution. During the testing process, testers come across challenges like the increasing complexity of software applications, generating realistic test data and maintaining test scripts.
November 21, 2024
79555 Views
16 Min Read
AI in Mobile Testing: Tools and Best Practices
This article is a part of our Learning Hub. For more in-depth resources, check out our hub on AI Testing. Testing mobile applications has become a real challenge with the variety of devices, OS versions, and use cases. Traditional testing methods often struggle to keep up with faster mobile testing cycles.
November 20, 2024
68641 Views
18 Min Read
AI-Powered Test Maintenance: Solving the Test Automation Bottleneck
Test automation significantly enhances testing efficiency, coverage, and accuracy when it’s well-planned and managed. Automated testing tools are powerful and add to the challenge of properly planning and managing test scripts.
November 13, 2024
69344 Views
8 Min Read
AI and Accessibility: Examples, Insights and Future
This article is a part of our Learning Hub. For more in-depth resources, check out our hub on AI Testing. Access to information is essential for everyone, yet individuals with impairments often face significant challenges when navigating digital content such as websites, articles, and videos. This is where AI can play a transformative role in … Continue reading AI and Accessibility: Examples, Insights and Future
October 8, 2024
29493 Views
12 Min Read
Test Intelligence in the Era of AI: Opportunities and Challenges
The software development field currently represents a significant target for artificial intelligence (AI) and machine learning (ML) technology. Why software development? Software development and testing are fields where AI/ML-driven technology is used because software applications are increasingly complex and data-intensive.
September 3, 2024
88528 Views
9 Min Read
AutomationAILambdaTest Updates
Introducing KaneAI – World’s First End-to-End Testing Assistant
Picture a world where test automation is as easy as having a conversation with your team—no more struggling with complex code or tedious manual scripting. Just pure efficiency and clarity.
August 21, 2024
232747 Views
5 Min Read
Generative AI in Testing: Benefits and Tools
Generative AI is a type of artificial intelligence that creates new outputs by learning patterns from existing data. As part of modern quality assurance practices, Generative AI in testing enables automation of tasks like test authoring, synthetic test data generation, test suite optimization, and more. TABLE OF CONTENTS What Is Generative AI in Testing? How … Continue reading Generative AI in Testing: Benefits and Tools
July 21, 2024
148048 Views
15 Min Read
