最新章節

• Index
• Chapter 46 – Robotics and Machine Learning Combined with Internet of Things – What could this mean for Indian Services Industries
• Chapter 31 – Algorithmic Business – In Need of Model-Based Testing
• Chapter 30 – Key Considerations in Testing Internet of Things (IOT) Applications
• Chapter 18 – Service Virtualization as an Enabler of DevOps
• Chapter 3 – The Benefits of Replacing Testing Subcontractors with Managed Testing Services

• Index 更新時間：2021-07-09 19:11:35
• Chapter 46 – Robotics and Machine Learning Combined with Internet of Things – What could this mean for Indian Services Industries
• Chapter 31 – Algorithmic Business – In Need of Model-Based Testing
• Chapter 30 – Key Considerations in Testing Internet of Things (IOT) Applications
• Chapter 18 – Service Virtualization as an Enabler of DevOps
• Chapter 3 – The Benefits of Replacing Testing Subcontractors with Managed Testing Services
• Chapter 2 – Future of Testing Engagement Models – Are Predictions of increased QA Spends Justified?
• Across Chapters – World Quality Report 2016 (Capgemini Sogeti HPE):
• Appendix A. References
• Conclusion
• Outlook for the the services sector in India – a point of view
• What does advancement of technology mean for the Indian economy?
• Understanding the context – robotics machine learning and IoT
• Chapter 46. Robotics and Machine Learning Combined with Internet of Things – What Could This Mean for Indian Services Industries
• Conclusion
• New breed of testers in DevOps
• Required skills for agile and DevOps testing
• The importance of industry and domain technology and tools and process skills in testing careers
• Typical roles in testing services
• Career options in testing services
• Chapter 45. Future of Testing – Career Opportunities
• Conclusion
• Testing considerations for new technologies
• Key technology trends that would shape the future of Information Technology
• Chapter 44. Future of Testing in the Digital World
• Conclusion
• What would I do differently as a consultant now?
• Future of consulting
• The digital age consultant
• Digital driving a shift in the way consulting worked
• Chapter 43. Future of Consulting in the Era of Digital Disruption
• Conclusion
• How can Orthogonal Array Testing Strategy (OATS) help?
• Challenges in H&LS applications testing
• Background
• Chapter 42. Orthogonal Array Testing (OAT) – an Application in Healthcare Industry
• Conclusion
• Testing responsive web designs
• QA and testing in the airline industry
• Role of digitization
• Background – the state of the airline business
• Chapter 41. Testing Airline Digital Applications – Case for Responsive Design
• Conclusion
• Testing process for Smart Metering Infrastructure (SMI)
• Smart Meters and Smart Grids
• Typical challenges in the E&U segment
• Trends in Energy and Utilities (E&U)
• Background
• Chapter 40. Smart Energy and Smart Grids – in Need of Effective Testing
• References
• Conclusion
• Digital transformation QA trends in EUC
• Testing considerations in smart metering infrastructure – an illustration
• Testing considerations in an EUC customer journey – an illustration
• Challenge of multichannel and the need for a unified customer journey
• Key technology blocks of digital transformation in the EUC sector
• Technology trends in utilities industry
• Chapter 39. Digital Transformation Trends in Energy and Utilities – QA Considerations
• Conclusion
• Digital transformation in CPR - tests required
• Multi/omni-channel CPR – quality considerations
• Factors considered by digital shoppers
• Being digital – what value levers can it offer to CPR industry
• Customer journey of a digital shopper in an omni-channel environment – an illustration
• Digital transformation in CPR industry
• Physical versus online stores – key trends
• Current challenges in the consumer products and retail sector
• Chapter 38. Digital Transformation in Consumer Products and Retail Sector – QA Considerations
• Conclusion
• How are trends in automotive segments shaping software testing?
• Influence of global automotive trends on the Chinese market
• Key highlights from the growing Chinese automotive market
• Business drivers for global automotive evolution
• Chapter 37. Trends in the Global Automotive Sector – Implications for Testing and QA
• Conclusion
• An illustrative customer journey validation of patient using wearables
• Need for robust digital QA
• Typical challenges in digital eHealth-Care care
• Digital eHealth-Care care ecosystem
• Applications of digital eHealth-Care care
• Digital transformation trends in the healthcare sector
• Chapter 36. Potential Innovations in eHealth-Care – Implications for Testing and QA
• Conclusion
• Focus of QA in supply chain
• An illustration – new technologies in retail
• New technologies in supply chain management
• Industry trends in supply chain management
• Understanding the customer buying process
• Chapter 35. Technologies for Digital Supply Chains and QA Considerations
• Conclusion
• Implication for testing
• Popular blockchains
• The blockchain process
• Introduction to blockchain
• Chapter 34. Blockchain Technology – Assuring Secure Business
• Conclusion
• Testing for FinTech applications or solutions
• FinTech services and their impact on various sectors
• FinTech ecosystem
• Chapter 33. FinTech – A New Disruptor in Industry and Implications for Testing and QA
• Conclusion
• Challenges associated in implementing cognitive technologies
• Costs involved
• Technologies supported
• Sector specific use cases
• Advantages of cognitive testing compared to the current methods
• Methodologies involved in cognitive testing
• Evolution of cognitive technology and available platforms
• What is cognitive testing all about?
• Background – cognitive intelligence
• Chapter 32. Making Testing Adaptive Interactive Iterative and Contextual with Cognitive Intelligence
• Conclusion
• Implications of testing – the need for model-based testing
• Algorithmic business – an illustration
• Introduction and journey of analytics
• Chapter 31. Algorithmic Business – In Need of Model-Based Testing
• References
• Conclusion
• IoT testing types
• IoT Testing Considerations
• IoT Revolution – key findings from the World Quality Report 2016
• Need for a robust IoT test strategy
• Chapter 30. Key Considerations in Testing Internet of Things (IoT) Applications
• References
• Conclusion
• Implementing RPA for mobile testing
• The benefits of Robotic Process Automation (RPA)
• Software robot and their applicability
• Chapter 29. Applying Robotic Automation to Mobile Applications Testing
• Conclusion
• Key challenges in implementing a dashboard
• Consequences of security lapses
• Specific metrics to be reported in dashboard
• What should be monitored and reported?
• Why security threats need to be monitored and reported?
• Chapter 28. Security Dashboard for the Board
• Conclusion
• QA of digital marketing applications – key validations
• Need for quality focus in digital marketing initiatives
• Challenges of implementing digital marketing
• Evolution of digital marketing
• Chapter 27. Quality Assurance for Digital Marketing Initiatives
• Conclusion
• Key scenarios for on-demand performance testing – proposed architecture
• On-demand self-service environments for carrying out performance testing
• Need for a cloud platform to build end-to-end performance testing
• On-demand performance testing environments — key challenges and solutions
• Chapter 26. On-Demand Performance Testing on Self-Service Environments
• Conclusion
• What must testers prepare for when testing applications on cloud
• Chapter 25. How Should a Tester Adapt to Cloud – Call for Change of Mindset among Testers
• Conclusion
• Application migration validation – a holistic approach
• Key challenges in validation during cloud migration of applications
• Key testing focus areas in cloud migration of applications
• Need for validating applications for cloud migration
• Chapter 24. Migrating Applications to Cloud Environments – Key Testing Considerations
• Conclusion
• How is testing done differently for big data/Hadoop applications?
• Testing the BI/BA applications
• Testing the data
• Understanding your customers gathering data and analyzing it
• Chapter 23. Testing Analytics Applications – What Has Changed in SMAC World
• Conclusion
• Recommendations to enhance mobile applications usability
• Key challenges encountered in testing mobile applications
• User expectations
• Chapter 22. Testing Mobile Applications – Key Challenges and Considerations
• Conclusion
• Java performance tuning tools
• Performance bottlenecks – key challenges and solutions
• Chapter 21. Performance Tuning of Java Applications
• Conclusion
• Standard AX tools
• AX test automation in DevOps
• AX and DevOps
• Background – Accessibility (AX)
• Chapter 20. Accessibility Test Automation in DevOps Environment
• Conclusion
• How should one choose test cases for regression?
• Software regression process
• Background – software regression testing
• Chapter 19. Best Practices in Identifying Regression Test Cases
• Conclusion
• Service virtualization automation tools used in DevOps
• Service virtualization – research input
• Role of service virtualization in DevOps
• Service virtualization and DevOps
• Chapter 18. Service Virtualization as an Enabler of DevOps
• Conclusion
• Test environment automation tools
• Test environment metrics to consider in release management
• Benefits of test environment automation
• Test environment automation approach for DevOps
• Test Environment Management – key challenges
• Chapter 17. Automated Test Environments for DevOps
• Conclusion
• Monitoring Microservices
• Performance testing of Microservices
• Testing in agile/DevOps life cycle using Microservices Architecture
• What is microservices architecture?
• Chapter 16. Testing in DevOps Life Cycle Using Microservices Architecture
• Conclusion
• Best practices in TDM
• Benefits of automated TDM
• Typical TDM services and TDM architecture
• Automated TDM solution for DevOps environment
• TDM in DevOps environment – key challenges
• Background
• Chapter 15. Automated Test Data Management in the DevOps Environment
• Conclusion
• The benefits of automating configuration management
• Potential solutions for automated configuration management
• Types of test environments
• Background
• Chapter 14. Automating Configuration Management for DevOps Test Environments
• Conclusion
• Benefits of using Gherkin
• Roles of members involved
• Gherkin – basic syntax and illustration
• Background – Behavior-Driven Development (BDD)
• Chapter 13. Behavior-Driven Development (BDD) Using Gherkin in Agile/DevOps Environment
• Conclusion
• Benefits of ChatOps
• Application of ChatOps as a collaboration platform
• ChatOps – How does it work?
• DevOps trends from World Quality Report
• Chapter 12. Accelerating DevOps – ChatOps is the New Cool
• Conclusion
• DevOps QA benchmarking assessment areas
• DevOps QA benchmarking — why and what?
• Challenges organizations face in implementing DevOps
• Why DevOps – the drivers
• Chapter 11. Assessing the State of Your DevOps Adoption with DevOps Benchmarking Approach
• Conclusion
• Best practices to adopt early and continuously automate
• Automation – metrics and measurements
• Deployment automation
• Automation – the default practice
• Early integration automation
• The importance of automation in DevOps
• Chapter 10. Role of Automation in DevOps Life Cycle
• Conclusion
• Agile versus DevOps
• DevOps removes the boundaries between dev QA and operations
• Agile is about speed
• Chapter 9. Does the Rise of DevOps Undermine Agile?
• Conclusion
• What is the difference between testing in DevOps and traditional life cycle?
• How is QA transforming to meet the demands of agile/DevOps life cycles
• Challenges cited in setting up agile test COEs
• Increased complexity of testing in the agile landscape
• Increased use of agile/DevOps principles
• Chapter 8. Agile and DevOps Adoption are Gaining Momentum
• Conclusion
• State of agile adoption – findings from the World Quality Report 2016-2017
• Agile in distributed environments
• How is testing done in agile sprints?
• Flavors of agile
• What do agile projects promise compared to traditional waterfall?
• Chapter 7. Testing in Agile Development and the State of Agile Adoption
• References
• Conclusion
• How can large IT organizations ride the weekend testing bandwagon?
• Trends in the use of crowdsourced testing
• Disadvantages
• Advantages
• Weekend testing – modus operandi
• Chapter 6. Testing Goes an Extra Mile over Weekends
• References
• Conclusion
• The benefits of crowdtesting
• Crowdtesting as part of Testing Center of Excellence (TCOE)
• Crowdtesting operating models
• What is crowdtesting and how does it work?
• Trends - crowdsourced testing
• Chapter 5. Crowdsourcing – Enabling Flexible On-Demand Testing COEs
• Conclusion
• Benefits delivered through DQAF model
• Key Elements for Onboarding in DQAF
• A digital factory model for industrializing digital QA delivery
• Services factories
• Chapter 4. Digital Quality Assurance in a Factory Model
• Conclusion
• How replacing testing subcontractors with managed testing services helps
• Key challenges associated while working with subcontractors
• Use of direct subcontractors remains prevalent
• Findings from the World Quality Report 2016 on industrialization and testing centers of excellence
• Chapter 3. The Benefits of Replacing Testing Subcontractors with Managed Testing Services
• References
• Conclusion
• What will be the future of testing engagement models?
• QA organizations would follow hybrid QA teams (centralized and decentralized)
• How is QA effort spread
• Chapter 2. Future of Testing Engagement Models – Are Predictions of Increased QA Spends Justified?
• Conclusion
• Reduction in customer experience testing challenges
• Increased challenges in mobile and IoT multichannel testing
• Predictions on the level of cloud-based applications
• Spends for digital QA
• State of digital maturity
• QA and testing transformation drivers
• QA and testing transformation focus
• Renewed focus on efficiency and effectiveness
• Chapter 1. State of Digital Transformation – What Has Changed in the Last Four Years (2013-16)?
• Preface
• Customer Feedback
• www.PacktPub.com
• About the Reviewer
• Acknowledgement
• About the Author
• Credits
• 版權信息
• 封面

• 封面
• 版權信息
• Credits
• About the Author
• Acknowledgement
• About the Reviewer
• www.PacktPub.com
• Customer Feedback
• Preface
• Chapter 1. State of Digital Transformation – What Has Changed in the Last Four Years (2013-16)?
• Renewed focus on efficiency and effectiveness
• QA and testing transformation focus
• QA and testing transformation drivers
• State of digital maturity
• Spends for digital QA
• Predictions on the level of cloud-based applications
• Increased challenges in mobile and IoT multichannel testing
• Reduction in customer experience testing challenges
• Conclusion
• Chapter 2. Future of Testing Engagement Models – Are Predictions of Increased QA Spends Justified?
• How is QA effort spread
• QA organizations would follow hybrid QA teams (centralized and decentralized)
• What will be the future of testing engagement models?
• Conclusion
• References
• Chapter 3. The Benefits of Replacing Testing Subcontractors with Managed Testing Services
• Findings from the World Quality Report 2016 on industrialization and testing centers of excellence
• Use of direct subcontractors remains prevalent
• Key challenges associated while working with subcontractors
• How replacing testing subcontractors with managed testing services helps
• Conclusion
• Chapter 4. Digital Quality Assurance in a Factory Model
• Services factories
• A digital factory model for industrializing digital QA delivery
• Key Elements for Onboarding in DQAF
• Benefits delivered through DQAF model
• Conclusion
• Chapter 5. Crowdsourcing – Enabling Flexible On-Demand Testing COEs
• Trends - crowdsourced testing
• What is crowdtesting and how does it work?
• Crowdtesting operating models
• Crowdtesting as part of Testing Center of Excellence (TCOE)
• The benefits of crowdtesting
• Conclusion
• References
• Chapter 6. Testing Goes an Extra Mile over Weekends
• Weekend testing – modus operandi
• Advantages
• Disadvantages
• Trends in the use of crowdsourced testing
• How can large IT organizations ride the weekend testing bandwagon?
• Conclusion
• References
• Chapter 7. Testing in Agile Development and the State of Agile Adoption
• What do agile projects promise compared to traditional waterfall?
• Flavors of agile
• How is testing done in agile sprints?
• Agile in distributed environments
• State of agile adoption – findings from the World Quality Report 2016-2017
• Conclusion
• Chapter 8. Agile and DevOps Adoption are Gaining Momentum
• Increased use of agile/DevOps principles
• Increased complexity of testing in the agile landscape
• Challenges cited in setting up agile test COEs
• How is QA transforming to meet the demands of agile/DevOps life cycles
• What is the difference between testing in DevOps and traditional life cycle?
• Conclusion
• Chapter 9. Does the Rise of DevOps Undermine Agile?
• Agile is about speed
• DevOps removes the boundaries between dev QA and operations
• Agile versus DevOps
• Conclusion
• Chapter 10. Role of Automation in DevOps Life Cycle
• The importance of automation in DevOps
• Early integration automation
• Automation – the default practice
• Deployment automation
• Automation – metrics and measurements
• Best practices to adopt early and continuously automate
• Conclusion
• Chapter 11. Assessing the State of Your DevOps Adoption with DevOps Benchmarking Approach
• Why DevOps – the drivers
• Challenges organizations face in implementing DevOps
• DevOps QA benchmarking — why and what?
• DevOps QA benchmarking assessment areas
• Conclusion
• Chapter 12. Accelerating DevOps – ChatOps is the New Cool
• DevOps trends from World Quality Report
• ChatOps – How does it work?
• Application of ChatOps as a collaboration platform
• Benefits of ChatOps
• Conclusion
• Chapter 13. Behavior-Driven Development (BDD) Using Gherkin in Agile/DevOps Environment
• Background – Behavior-Driven Development (BDD)
• Gherkin – basic syntax and illustration
• Roles of members involved
• Benefits of using Gherkin
• Conclusion
• Chapter 14. Automating Configuration Management for DevOps Test Environments
• Background
• Types of test environments
• Potential solutions for automated configuration management
• The benefits of automating configuration management
• Conclusion
• Chapter 15. Automated Test Data Management in the DevOps Environment
• Background
• TDM in DevOps environment – key challenges
• Automated TDM solution for DevOps environment
• Typical TDM services and TDM architecture
• Benefits of automated TDM
• Best practices in TDM
• Conclusion
• Chapter 16. Testing in DevOps Life Cycle Using Microservices Architecture
• What is microservices architecture?
• Testing in agile/DevOps life cycle using Microservices Architecture
• Performance testing of Microservices
• Monitoring Microservices
• Conclusion
• Chapter 17. Automated Test Environments for DevOps
• Test Environment Management – key challenges
• Test environment automation approach for DevOps
• Benefits of test environment automation
• Test environment metrics to consider in release management
• Test environment automation tools
• Conclusion
• Chapter 18. Service Virtualization as an Enabler of DevOps
• Service virtualization and DevOps
• Role of service virtualization in DevOps
• Service virtualization – research input
• Service virtualization automation tools used in DevOps
• Conclusion
• Chapter 19. Best Practices in Identifying Regression Test Cases
• Background – software regression testing
• Software regression process
• How should one choose test cases for regression?
• Conclusion
• Chapter 20. Accessibility Test Automation in DevOps Environment
• Background – Accessibility (AX)
• AX and DevOps
• AX test automation in DevOps
• Standard AX tools
• Conclusion
• Chapter 21. Performance Tuning of Java Applications
• Performance bottlenecks – key challenges and solutions
• Java performance tuning tools
• Conclusion
• Chapter 22. Testing Mobile Applications – Key Challenges and Considerations
• User expectations
• Key challenges encountered in testing mobile applications
• Recommendations to enhance mobile applications usability
• Conclusion
• Chapter 23. Testing Analytics Applications – What Has Changed in SMAC World
• Understanding your customers gathering data and analyzing it
• Testing the data
• Testing the BI/BA applications
• How is testing done differently for big data/Hadoop applications?
• Conclusion
• Chapter 24. Migrating Applications to Cloud Environments – Key Testing Considerations
• Need for validating applications for cloud migration
• Key testing focus areas in cloud migration of applications
• Key challenges in validation during cloud migration of applications
• Application migration validation – a holistic approach
• Conclusion
• Chapter 25. How Should a Tester Adapt to Cloud – Call for Change of Mindset among Testers
• What must testers prepare for when testing applications on cloud
• Conclusion
• Chapter 26. On-Demand Performance Testing on Self-Service Environments
• On-demand performance testing environments — key challenges and solutions
• Need for a cloud platform to build end-to-end performance testing
• On-demand self-service environments for carrying out performance testing
• Key scenarios for on-demand performance testing – proposed architecture
• Conclusion
• Chapter 27. Quality Assurance for Digital Marketing Initiatives
• Evolution of digital marketing
• Challenges of implementing digital marketing
• Need for quality focus in digital marketing initiatives
• QA of digital marketing applications – key validations
• Conclusion
• Chapter 28. Security Dashboard for the Board
• Why security threats need to be monitored and reported?
• What should be monitored and reported?
• Specific metrics to be reported in dashboard
• Consequences of security lapses
• Key challenges in implementing a dashboard
• Conclusion
• Chapter 29. Applying Robotic Automation to Mobile Applications Testing
• Software robot and their applicability
• The benefits of Robotic Process Automation (RPA)
• Implementing RPA for mobile testing
• Conclusion
• References
• Chapter 30. Key Considerations in Testing Internet of Things (IoT) Applications
• Need for a robust IoT test strategy
• IoT Revolution – key findings from the World Quality Report 2016
• IoT Testing Considerations
• IoT testing types
• Conclusion
• References
• Chapter 31. Algorithmic Business – In Need of Model-Based Testing
• Introduction and journey of analytics
• Algorithmic business – an illustration
• Implications of testing – the need for model-based testing
• Conclusion
• Chapter 32. Making Testing Adaptive Interactive Iterative and Contextual with Cognitive Intelligence
• Background – cognitive intelligence
• What is cognitive testing all about?
• Evolution of cognitive technology and available platforms
• Methodologies involved in cognitive testing
• Advantages of cognitive testing compared to the current methods
• Sector specific use cases
• Technologies supported
• Costs involved
• Challenges associated in implementing cognitive technologies
• Conclusion
• Chapter 33. FinTech – A New Disruptor in Industry and Implications for Testing and QA
• FinTech ecosystem
• FinTech services and their impact on various sectors
• Testing for FinTech applications or solutions
• Conclusion
• Chapter 34. Blockchain Technology – Assuring Secure Business
• Introduction to blockchain
• The blockchain process
• Popular blockchains
• Implication for testing
• Conclusion
• Chapter 35. Technologies for Digital Supply Chains and QA Considerations
• Understanding the customer buying process
• Industry trends in supply chain management
• New technologies in supply chain management
• An illustration – new technologies in retail
• Focus of QA in supply chain
• Conclusion
• Chapter 36. Potential Innovations in eHealth-Care – Implications for Testing and QA
• Digital transformation trends in the healthcare sector
• Applications of digital eHealth-Care care
• Digital eHealth-Care care ecosystem
• Typical challenges in digital eHealth-Care care
• Need for robust digital QA
• An illustrative customer journey validation of patient using wearables
• Conclusion
• Chapter 37. Trends in the Global Automotive Sector – Implications for Testing and QA
• Business drivers for global automotive evolution
• Key highlights from the growing Chinese automotive market
• Influence of global automotive trends on the Chinese market
• How are trends in automotive segments shaping software testing?
• Conclusion
• Chapter 38. Digital Transformation in Consumer Products and Retail Sector – QA Considerations
• Current challenges in the consumer products and retail sector
• Physical versus online stores – key trends
• Digital transformation in CPR industry
• Customer journey of a digital shopper in an omni-channel environment – an illustration
• Being digital – what value levers can it offer to CPR industry
• Factors considered by digital shoppers
• Multi/omni-channel CPR – quality considerations
• Digital transformation in CPR - tests required
• Conclusion
• Chapter 39. Digital Transformation Trends in Energy and Utilities – QA Considerations
• Technology trends in utilities industry
• Key technology blocks of digital transformation in the EUC sector
• Challenge of multichannel and the need for a unified customer journey
• Testing considerations in an EUC customer journey – an illustration
• Testing considerations in smart metering infrastructure – an illustration
• Digital transformation QA trends in EUC
• Conclusion
• References
• Chapter 40. Smart Energy and Smart Grids – in Need of Effective Testing
• Background
• Trends in Energy and Utilities (E&U)
• Typical challenges in the E&U segment
• Smart Meters and Smart Grids
• Testing process for Smart Metering Infrastructure (SMI)
• Conclusion
• Chapter 41. Testing Airline Digital Applications – Case for Responsive Design
• Background – the state of the airline business
• Role of digitization
• QA and testing in the airline industry
• Testing responsive web designs
• Conclusion
• Chapter 42. Orthogonal Array Testing (OAT) – an Application in Healthcare Industry
• Background
• Challenges in H&LS applications testing
• How can Orthogonal Array Testing Strategy (OATS) help?
• Conclusion
• Chapter 43. Future of Consulting in the Era of Digital Disruption
• Digital driving a shift in the way consulting worked
• The digital age consultant
• Future of consulting
• What would I do differently as a consultant now?
• Conclusion
• Chapter 44. Future of Testing in the Digital World
• Key technology trends that would shape the future of Information Technology
• Testing considerations for new technologies
• Conclusion
• Chapter 45. Future of Testing – Career Opportunities
• Career options in testing services
• Typical roles in testing services
• The importance of industry and domain technology and tools and process skills in testing careers
• Required skills for agile and DevOps testing
• New breed of testers in DevOps
• Conclusion
• Chapter 46. Robotics and Machine Learning Combined with Internet of Things – What Could This Mean for Indian Services Industries
• Understanding the context – robotics machine learning and IoT
• What does advancement of technology mean for the Indian economy?
• Outlook for the the services sector in India – a point of view
• Conclusion
• Appendix A. References
• Across Chapters – World Quality Report 2016 (Capgemini Sogeti HPE):
• Chapter 2 – Future of Testing Engagement Models – Are Predictions of increased QA Spends Justified?
• Chapter 3 – The Benefits of Replacing Testing Subcontractors with Managed Testing Services
• Chapter 18 – Service Virtualization as an Enabler of DevOps
• Chapter 30 – Key Considerations in Testing Internet of Things (IOT) Applications
• Chapter 31 – Algorithmic Business – In Need of Model-Based Testing
• Chapter 46 – Robotics and Machine Learning Combined with Internet of Things – What could this mean for Indian Services Industries
• Index 更新時間：2021-07-09 19:11:35