What do you think?
Rate this book
ARTIFICIAL INTELLIGENCE DRIVEN SOFTWARE TESTING: Leveraging AI Techniques in Software Testing
Over the past two decades, software applications become increasingly complex, traditional methods of testing have proven insufficient to ensure their quality and reliability. Fortunately, recent advancements in artificial intelligence (AI) have opened up new possibilities for improving the effectiveness and efficiency of software testing. By leveraging machine learning, natural language processing, and other AI techniques, testers can automate repetitive tasks, generate more comprehensive test cases, and even predict defects before they occur.
In this book,"ARTIFICIAL INTELLIGENCE DRIVEN SOFTWARE TESTING", we delve into the world of AI in software testing, exploring the fundamentals of AI, its role in testing, and the benefits and challenges of applying it in practice. We begin by introducing the basics of AI and its various subfields, including machine learning, neural networks, and natural language processing. We then explore the benefits of AI in software testing, including increased testing speed, improved test coverage, and reduced testing costs.
The book also covers specific techniques for using AI in different types of testing, including test case generation, test execution, result analysis, performance testing, and security testing.
Whether you are a software tester, developer, or manager, this book will equip you with the knowledge and practical skills needed to harness the power of AI for improved software quality.
Chapter 1: Introduction to Artificial Intelligence in Software TestingThe Role of Artificial Intelligence in Software TestingAdvantages of AI in Software TestingOverview of the BookChapter 2: Fundamentals of Artificial IntelligenceOverview of Artificial IntelligenceMachine Learning and Deep LearningNeural Networks and Natural Language ProcessingChapter 3: Applying AI to Software TestingBenefits of AI in Software TestingTypes of Testing Tasks that can be Automated with AIChallenges in Applying AI to Software TestingChapter 4: Test Case Generation using AITraditional Test Case Generation TechniquesAI-based Test Case Generation TechniquesTools for AI-based Test Case GenerationChapter 5: Test Execution and Result Analysis with AIOverview of AI-based Test ExecutionAI-based Defect Detection and ClassificationTools for AI-based Test Execution and Result AnalysisChapter 6: Performance Testing with AIOverview of Performance TestingChallenges of Performance Testing with Traditional MethodsPerformance Testing using AI-based MethodsTools for AI-based Performance TestingChapter 7: Security Testing with AIOverview of Security TestingTraditional Methods for Security TestingAI-based Methods for Security TestingTools for AI-based Security TestingChapter 8: Future of AI in Software TestingTrends and Predictions for AI in Software TestingPotential Advancements in AI-based TestingThe Importance of Adaptability in the Face of ChangeChapter 9: ConclusionThe Significance of AI in Software TestingKey Takeaways and Le
In this book,"ARTIFICIAL INTELLIGENCE DRIVEN SOFTWARE TESTING", we delve into the world of AI in software testing, exploring the fundamentals of AI, its role in testing, and the benefits and challenges of applying it in practice. We begin by introducing the basics of AI and its various subfields, including machine learning, neural networks, and natural language processing. We then explore the benefits of AI in software testing, including increased testing speed, improved test coverage, and reduced testing costs.
The book also covers specific techniques for using AI in different types of testing, including test case generation, test execution, result analysis, performance testing, and security testing.
Whether you are a software tester, developer, or manager, this book will equip you with the knowledge and practical skills needed to harness the power of AI for improved software quality.
Chapter 1: Introduction to Artificial Intelligence in Software TestingThe Role of Artificial Intelligence in Software TestingAdvantages of AI in Software TestingOverview of the BookChapter 2: Fundamentals of Artificial IntelligenceOverview of Artificial IntelligenceMachine Learning and Deep LearningNeural Networks and Natural Language ProcessingChapter 3: Applying AI to Software TestingBenefits of AI in Software TestingTypes of Testing Tasks that can be Automated with AIChallenges in Applying AI to Software TestingChapter 4: Test Case Generation using AITraditional Test Case Generation TechniquesAI-based Test Case Generation TechniquesTools for AI-based Test Case GenerationChapter 5: Test Execution and Result Analysis with AIOverview of AI-based Test ExecutionAI-based Defect Detection and ClassificationTools for AI-based Test Execution and Result AnalysisChapter 6: Performance Testing with AIOverview of Performance TestingChallenges of Performance Testing with Traditional MethodsPerformance Testing using AI-based MethodsTools for AI-based Performance TestingChapter 7: Security Testing with AIOverview of Security TestingTraditional Methods for Security TestingAI-based Methods for Security TestingTools for AI-based Security TestingChapter 8: Future of AI in Software TestingTrends and Predictions for AI in Software TestingPotential Advancements in AI-based TestingThe Importance of Adaptability in the Face of ChangeChapter 9: ConclusionThe Significance of AI in Software TestingKey Takeaways and Le
46 pages, Kindle Edition
Published May 14, 2023
2 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
No one has reviewed this book yet.