The Future of Software Quality Assurance.

• Author: Goericke, Stephan.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2019.; Ã2020.
• Year of Publication: 2019
• Edition: 1st ed.
• Language: English
• Physical Description: 1 online resource (272 pages)

Table of Contents

• Intro
• Foreword
• Preface
• A Question of Quality
• Quality Standards Are an Imperative
• The Future Is Before Us
• New Ethics
• Contents
• Editor and Contributors
• About the Editor
• Contributors
• Change-Driven Testing
• 1 A Vicious Circle
• 2 Test Intelligence
• 2.1 Version-Control Systems
• 2.2 Ticket Systems
• 2.3 Profilers
• 3 Change-Driven Testing
• 3.1 Test-Impact Analysis
• 3.2 Test-Gap Analysis
• 3.3 Limitations
• 4 Using Change-Driven Testing
• 4.1 Testing with TIA
• 4.2 Testing with TGA
• 4.3 Closing the Loop
• 5 Adapting Change-Driven Testing
• 6 Conclusion
• References
• The Next Generation Tester: Meeting the Challenges of a Changing IT World
• 1 Introduction
• 2 Forces That Drive Businesses
• 3 Trends in IT
• 3.1 Solutions in IT
• 3.2 Practices in IT
• 4 What Competencies Will Be Needed in Testing?
• 5 General Competencies
• 5.1 Testing Essentials
• 5.2 Risk-Based Testing
• 5.3 System Architectures
• 5.4 Communication
• 5.5 Automation
• 5.6 Adapting to Different Lifecycle Approaches
• 6 Specialist Competencies
• 6.1 Testing Big Data (BD) Applications
• 6.2 Testing Applications Using Connected Devices
• 6.3 Testing Artificial Intelligence (AI) Applications
• 7 The Skills Framework
• 7.1 Competency Descriptions
• 7.2 Competency Levels
• 7.3 Assessing Competencies
• 7.4 Profiles
• 8 Conclusion
• Testing in DevOps
• 1 Introduction
• 2 What Is DevOps?
• 2.1 Customer-Centric Action
• 2.2 Create with the End in Mind
• 2.3 End-to-End Responsibility
• 2.4 Cross-Functional Autonomous Teams
• 2.5 Continuous Improvement
• 2.6 Automate Everything You Can
• 3 Testing in DevOps
• 3.1 Scope
• 3.2 Customer-Centric Testing
• 3.3 Specialized Testing
• 4 Automation
• 4.1 Test Automation
• 4.2 Continuous Testing
• 4.3 Monitoring
• 5 The Role of a Test Engineer.
• 5.1 T-Shaped, Test Shaped
• 5.2 Soft Skills
• 6 Conclusions
• References
• The Tester Skills Program
• 1 Introduction
• 1.1 Background
• 1.2 Stakeholders
• 1.3 Initiation
• 2 Why a New Tester Skills Program?
• 2.1 Existential Crisis for Testers
• 2.2 The Drive to Digital
• 2.3 Waterfall Thinking Won't Work with Continuous Methods
• 2.4 Separating Thinking from Logistics
• 2.5 Logistics: We Don't Care
• 2.6 Without Logistics: The New Model for Testing
• 2.7 Rethinking Status
• 2.8 The (Current) Problem with Certification
• 3 The Tester Skills Program
• 3.1 Skills Focus
• 3.2 New Tester Behaviours
• 3.3 TSP Is a Learning and Development Scheme
• 3.4 The Skills Inventory
• 3.5 Program Member Challenges
• 3.6 Structure of the Foundation Scheme
• 4 The Future
• 4.1 Engaging Competent Training Providers to Deliver TSP
• 4.2 Could the TSP Be the Basis of Certification?
• 4.3 Classroom, Online Instructor-Led or Online Teaching?
• 4.4 Proliferating the TSP
• References
• Testing Autonomous Systems
• 1 Motivation
• 2 Autonomous Systems
• 2.1 Autonomy and Autonomy Levels
• 2.2 Capabilities of Fully Autonomous Systems
• 3 Safety of Autonomous Systems
• 3.1 Safety in Normal Operation
• 3.2 Safety in Failure Mode
• 4 Testing Autonomous Systems
• 4.1 Quality Characteristics and Test Topics
• 4.2 Implications of Learning
• 4.3 New Test Method: Scenario-Based Testing
• 4.4 Requirements for the Test Process
• 5 Conclusion and Outlook
• References
• Further Reading
• Testing in the Digital Age
• 1 Testing Of and With Intelligent Machines
• 2 Testing Of Intelligent Machines
• 2.1 Six Angles of Quality for Machine Intelligence
• 2.2 Quality Is Defined and Tested Using Quality Characteristics
• 2.2.1 Intelligent Behavior
• 2.2.2 Morality
• 2.2.3 Personality
• 2.2.4 Usability
• 3 Testing With Intelligent Machines.
• 3.1 Models Help Quality Forecasting
• 3.2 Robots Testing Physical Machines
• 3.3 Test Execution in a Virtual Engineering Environment
• 3.4 Beware of Testing AI with AI
• Measure Twice, Cut Once: Acceptance Testing
• 1 Acceptance Testing, Part 1: Introduction
• 2 Acceptance Testing, Part 2: The Process
• 2.1 Types of Acceptance Testing
• 2.2 Alpha Testing
• 2.3 Beta Testing
• 2.4 Main Differences Between Alpha and Beta Testing
• 3 Acceptance Testing, Part 3: Approaches
• 3.1 Primary Approach to Acceptance Testing
• 3.2 Basic Steps to Organize a Well-Done Acceptance Phase
• 3.3 Approaches to Create Acceptance Test Cases
• 3.4 Roles and Responsibilities
• 4 Acceptance Testing Part 4: Conclusions
• 4.1 The Execution: What to Avoid When the Acceptance Testing Is Performed?
• 4.2 Involving the End Users
• 4.3 Acceptance Testing Performed by the Internal QA Team
• 4.4 What Are the Main Reasons the Acceptance Testing Phase Often Fails?
• 4.5 Best Option for Successful Acceptance Testing
• 4.6 To Outsource Acceptance Testing or Not?
• Distributed Testing Teams
• 1 Introduction
• 2 Selection of an Offshore Team
• 3 About Training
• 4 Define How Communication Will Be
• 5 How to Maximize Productivity of the Offshore Team?
• 5.1 About Requirements
• 5.2 How to Design Test Cases
• 5.3 About Tests Execution
• 5.4 About Tools
• 6 Retrospective
• 7 Some Conclusions
• Further Reading
• Testing Strategies in an Agile Context
• 1 Introduction
• 2 The Shift in Testing Paradigms
• 3 Investment in Automated Testing
• 4 Transitioning to Agile Testing
• 5 The People Perspective
• 6 Conclusion
• References
• Testing Artificial Intelligence
• 1 Introduction
• 2 An Introduction to AI for Testers
• 2.1 AI Is Black Box Development
• 2.2 Machine Learning and Neural Networks
• 2.3 Algorithm = Data + Code + Labels.
• 2.4 Fuzzy Logics and Mathematics
• 2.5 Development and Correction
• 2.6 Overall Version Evaluation and Metrics
• 3 Risks in AI
• 3.1 Bias
• 3.1.1 Selection Bias
• 3.1.2 Confirmation Bias
• 3.1.3 Under-fitting
• 3.1.4 Over-fitting
• 3.1.5 Outliers
• 3.1.6 Confounding Variables
• 3.2 Over-confidence in AI
• 3.3 Under-confidence in AI
• 3.4 Traceability
• 4 Testing AI
• 4.1 Review of the Neural Network, Training Data and Labelling
• 4.2 Identifying Users
• 4.3 Profiling Users
• 4.4 Creating Test Cases
• 4.5 Test Data
• 4.6 Metrics
• 4.7 Weighing and Contracts
• 4.8 Test Automation
• 4.9 Overall Evaluation and Input for Optimising
• 4.10 Example of AI Test Framework (Fig. 2)
• 5 Conclusions
• Responsible Software Engineering
• 1 Introduction
• 2 Software and Recent Software Quality Requirements
• 3 Software Criticality and the Need for Responsible Software Engineering
• 4 Ethical Principles in Responsible Software Engineering
• 5 Outlook
• References
• Chasing Mutants
• 1 Introduction
• 2 Automated Testing
• 3 Code Coverage and Mutation Operators
• 4 Mutation Testing Challenges and Strategies
• 5 Mutation Testing Tools
• 6 Other Applications of Mutation Testing
• 7 Conclusion
• References
• Embracing Quality with Design Thinking
• 1 Introduction
• 2 Embracing Quality
• 3 Introducing Design Thinking
• 3.1 Fundamental Concepts
• 3.2 Design Thinking Resources
• 3.3 Design Thinking Approaches
• 4 Design Thinking's Role in Quality
• 5 Challenges of Design Thinking
• 6 Conclusions
• References
• Developing Software Quality and Testing Capabilities in Hispanic America: Challenges and Prospects
• 1 Introduction
• 2 Background
• 3 Skill Sets
• 3.1 Software Engineering
• 3.2 Human Competencies
• 4 Industry
• 5 Impact of Professional Certification Schemes.
• 6 Higher Education on Software Quality and Testing
• 6.1 Curriculum Design and Development Experiences in Costa Rica
• 6.1.1 Cenfotec
• 6.1.2 State Universities
• 6.1.3 Other Private Universities
• 6.2 Challenges and Prospects
• 6.2.1 Challenges
• 6.2.2 Prospects
• References
• Further Reading
• The Future of Testing
• 1 Introduction
• 2 The Past
• 3 Present Day
• 4 The Future
• 5 Conclusion: This Is the Future
• References
• Subconscious Requirements: The Fright of Every Tester
• 1 Introduction
• 2 What Are Subconscious Requirements?
• 3 How to Deal with Subconscious Requirements?
• 4 What About the Future?
• 5 Conclusion
• References
• The Why, How and What of Agile Transformations
• 1 Introduction
• 2 Agile Is About Short-Cyclic Working and Iterations
• 3 When to Be Agile and When Not?
• 4 Agile Transformations
• 5 Agile Transformation in Eight Steps
• 6 Pitfalls of Agile Transformations
• 7 Conclusion
• Next-Generation Software Testers: Broaden or Specialize!
• 1 The Future of Testing
• 2 The Concept of T-Shape
• 3 The T-Shaped Tester
• 3.1 Deepening: Testing Knowledge and Skills
• 3.2 Broadening: IT Knowledge and Skills
• 3.3 Broadening: Domain Knowledge
• 3.4 Broadening: Soft Skills
• 4 The Test Specialist
• 5 Conclusions
• Security: It's Everyone's Business!
• 1 Introduction
• 2 Training Security Testers
• 3 Reasons for (Cyber) Attacks
• 4 What Security Testers Need to Understand
• 5 About Password Security
• 6 Use Passphrases Instead of Passwords
• 7 About Usernames
• 8 Conclusions
• Reference.