Quality Assurance:: Software Testing with AI

In today’s rapidly evolving software landscape, traditional testing methods are no longer sufficient. ‘Quality Assurance: Software testing with AI’ explores the transformative potential of artificial intelligence in revolutionizing the software testing process. This comprehensive guide delves into cutting-edge AI techniques, including machine learning, deep learning, and natural language processing, and demonstrates how they can be applied to enhance test automation, improve test coverage, and accelerate the software development lifecycle. Learn how to leverage AI for: Automated test case generation: Create more comprehensive and effective test suites with minimal human intervention. Predictive analytics: Identify potential defects and risks before they occur, minimizing costly downstream issues. Test data generation: Generate realistic and diverse test data to simulate real-world scenarios. Visual testing: Automatically detect visual anomalies and ensure consistent user experience across different devices and browsers. Performance testing: Optimize software performance and identify bottlenecks using AI-powered analysis. Discover best practices for implementing AI-driven testing strategies, including: Choosing the right AI tools and technologies for your specific needs. Building and maintaining high-quality AI models. Integrating AI testing seamlessly into your existing development workflows. Addressing the ethical and security considerations of AI in software testing. Whether you are a seasoned software tester, a development manager, or a curious technologist, ‘Quality Assurance: Software testing with AI’ provides valuable insights and practical guidance to harness the power of AI for delivering superior software quality. —- ISBN: 9798309672127 | ISBN10: B0DWF4MR9J | ISBN-13: 979-8309672127