最新章節(jié)
- 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
品牌：中圖公司
上架時間：2021-07-09 18:12:14
出版社：Packt Publishing
本書數(shù)字版權(quán)由中圖公司提供，并由其授權(quán)上海閱文信息技術(shù)有限公司制作發(fā)行
- 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(quán)信息
- 封面
- 封面
- 版權(quán)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
