Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Testing Practitioner Handbook
  • Table Of Contents Toc
Testing Practitioner Handbook

Testing Practitioner Handbook

By : Renu Rajani
4.5 (19)
Buy this Book
close
close
Testing Practitioner Handbook

Testing Practitioner Handbook

4.5 (19)
By: Renu Rajani
Buy this Book

Overview of this book

The book is based on the author`s experience in leading and transforming large test engagements and architecting solutions for customer testing requirements/bids/problem areas. It targets the testing practitioner population and provides them with a single go-to place to find perspectives, practices, trends, tools, and solutions to test applications as they face the evolving digital world. This book is divided into five parts where each part explores different aspects of testing in the real world. The first module explains the various testing engagement models. You will then learn how to efficiently test code in different life cycles. The book discusses the different aspects of Quality Analysis consideration while testing social media, mobile, analytics, and the Cloud. In the last module, you will learn about futuristic technologies to test software. By the end of the book, you will understand the latest business and IT trends in digital transformation and learn the best practices to adopt for business assurance.
Table of Contents (49 chapters)
close
close
close
Preface
Icon
Preface
Icon
What this book covers
Icon
What you need for this book
Icon
Who this book is for
Icon
Conventions
Icon
Reader feedback
Icon
Customer support
Lock Free Chapter
1
1. State of Digital Transformation – What Has Changed in the Last Four Years (2013-16)?
Icon
1. State of Digital Transformation – What Has Changed in the Last Four Years (2013-16)?
Icon
Renewed focus on efficiency and effectiveness
Icon
QA and testing transformation focus
Icon
QA and testing transformation drivers
Icon
State of digital maturity
Icon
Spends for digital QA
Icon
Predictions on the level of cloud-based applications
Icon
Increased challenges in mobile and IoT multichannel testing
Icon
Reduction in customer experience testing challenges
Icon
Conclusion
2
2. Future of Testing Engagement Models – Are Predictions of Increased QA Spends Justified?
Icon
2. Future of Testing Engagement Models – Are Predictions of Increased QA Spends Justified?
Icon
How is QA effort spread
Icon
QA organizations would follow hybrid QA teams (centralized and decentralized)
Icon
What will be the future of testing engagement models?
Icon
Conclusion
Icon
References
3
3. The Benefits of Replacing Testing Subcontractors with Managed Testing Services
Icon
3. The Benefits of Replacing Testing Subcontractors with Managed Testing Services
Icon
Findings from the World Quality Report 2016 on industrialization and testing centers of excellence
Icon
Use of direct subcontractors remains prevalent
Icon
Key challenges associated while working with subcontractors
Icon
How replacing testing subcontractors with managed testing services helps
Icon
Conclusion
4
4. Digital Quality Assurance in a Factory Model
Icon
4. Digital Quality Assurance in a Factory Model
Icon
Services factories
Icon
A digital factory model for industrializing digital QA delivery
Icon
Key Elements for Onboarding in DQAF
Icon
Benefits delivered through DQAF model
Icon
Conclusion
5
5. Crowdsourcing – Enabling Flexible, On-Demand Testing COEs
Icon
5. Crowdsourcing – Enabling Flexible, On-Demand Testing COEs
Icon
Trends - crowdsourced testing
Icon
What is crowdtesting and how does it work?
Icon
Crowdtesting operating models
Icon
Crowdtesting as part of Testing Center of Excellence (TCOE)
Icon
The benefits of crowdtesting
Icon
Conclusion
Icon
References
6
6. Testing Goes an Extra Mile over Weekends
Icon
6. Testing Goes an Extra Mile over Weekends
Icon
Weekend testing – modus operandi
Icon
Advantages
Icon
Disadvantages
Icon
Trends in the use of crowdsourced testing
Icon
How can large IT organizations ride the weekend testing bandwagon?
Icon
Conclusion
Icon
References
7
7. Testing in Agile Development and the State of Agile Adoption
Icon
7. Testing in Agile Development and the State of Agile Adoption
Icon
What do agile projects promise compared to traditional waterfall?
Icon
Flavors of agile
Icon
How is testing done in agile sprints?
Icon
Agile in distributed environments
Icon
State of agile adoption – findings from the World Quality Report 2016-2017
Icon
Conclusion
8
8. Agile and DevOps Adoption are Gaining Momentum
Icon
8. Agile and DevOps Adoption are Gaining Momentum
Icon
Increased use of agile/DevOps principles
Icon
Increased complexity of testing in the agile landscape
Icon
Challenges cited in setting up agile test COEs
Icon
How is QA transforming to meet the demands of agile/DevOps life cycles
Icon
What is the difference between testing in DevOps and traditional life cycle?
Icon
Conclusion
9
9. Does the Rise of DevOps Undermine Agile?
Icon
9. Does the Rise of DevOps Undermine Agile?
Icon
Agile is about speed
Icon
DevOps removes the boundaries between dev, QA, and operations
Icon
Agile versus DevOps
Icon
Conclusion
10
10. Role of Automation in DevOps Life Cycle
Icon
10. Role of Automation in DevOps Life Cycle
Icon
The importance of automation in DevOps
Icon
Early integration automation
Icon
Automation – the default practice
Icon
Deployment automation
Icon
Automation – metrics and measurements
Icon
Best practices to adopt early and continuously automate
Icon
Conclusion
11
11. Assessing the State of Your DevOps Adoption with DevOps Benchmarking Approach
Icon
11. Assessing the State of Your DevOps Adoption with DevOps Benchmarking Approach
Icon
Why DevOps – the drivers
Icon
Challenges organizations face in implementing DevOps
Icon
DevOps QA benchmarking — why and what?
Icon
DevOps QA benchmarking assessment areas
Icon
Conclusion
12
12. Accelerating DevOps – ChatOps is the New Cool
chevron up
Icon
12. Accelerating DevOps – ChatOps is the New Cool
Icon
DevOps trends from World Quality Report
Icon
ChatOps – How does it work?
Icon
Application of ChatOps as a collaboration platform
Icon
Benefits of ChatOps
Icon
Conclusion
13
13. Behavior-Driven Development (BDD) Using Gherkin in Agile/DevOps Environment
Icon
13. Behavior-Driven Development (BDD) Using Gherkin in Agile/DevOps Environment
Icon
Background – Behavior-Driven Development (BDD)
Icon
Gherkin – basic syntax and illustration
Icon
Roles of members involved
Icon
Benefits of using Gherkin
Icon
Conclusion
14
14. Automating Configuration Management for DevOps Test Environments
Icon
14. Automating Configuration Management for DevOps Test Environments
Icon
Background
Icon
Types of test environments
Icon
Potential solutions for automated configuration management
Icon
The benefits of automating configuration management
Icon
Conclusion
15
15. Automated Test Data Management in the DevOps Environment
Icon
15. Automated Test Data Management in the DevOps Environment
Icon
Background
Icon
TDM in DevOps environment – key challenges
Icon
Automated TDM solution for DevOps environment
Icon
Typical TDM services and TDM architecture
Icon
Benefits of automated TDM
Icon
Best practices in TDM
Icon
Conclusion
16
16. Testing in DevOps Life Cycle Using Microservices Architecture
Icon
16. Testing in DevOps Life Cycle Using Microservices Architecture
Icon
What is microservices architecture?
Icon
Testing in agile/DevOps life cycle using Microservices Architecture
Icon
Performance testing of Microservices
Icon
Monitoring Microservices
Icon
Conclusion
17
17. Automated Test Environments for DevOps
Icon
17. Automated Test Environments for DevOps
Icon
Test Environment Management – key challenges
Icon
Test environment automation approach for DevOps
Icon
Benefits of test environment automation
Icon
Test environment metrics to consider in release management
Icon
Test environment automation tools
Icon
Conclusion
18
18. Service Virtualization as an Enabler of DevOps
Icon
18. Service Virtualization as an Enabler of DevOps
Icon
Service virtualization and DevOps
Icon
Role of service virtualization in DevOps
Icon
Service virtualization – research input
Icon
Service virtualization automation tools used in DevOps
Icon
Conclusion
19
19. Best Practices in Identifying Regression Test Cases
Icon
19. Best Practices in Identifying Regression Test Cases
Icon
Background – software regression testing
Icon
Software regression process
Icon
How should one choose test cases for regression?
Icon
Conclusion
20
20. Accessibility Test Automation in DevOps Environment
Icon
20. Accessibility Test Automation in DevOps Environment
Icon
Background – Accessibility (AX)
Icon
AX and DevOps
Icon
AX test automation in DevOps
Icon
Standard AX tools
Icon
Conclusion
21
21. Performance Tuning of Java Applications
Icon
21. Performance Tuning of Java Applications
Icon
Performance bottlenecks – key challenges and solutions
Icon
Java performance tuning tools
Icon
Conclusion
22
22. Testing Mobile Applications – Key Challenges and Considerations
Icon
22. Testing Mobile Applications – Key Challenges and Considerations
Icon
User expectations
Icon
Key challenges encountered in testing mobile applications
Icon
Recommendations to enhance mobile applications usability
Icon
Conclusion
23
23. Testing Analytics Applications – What Has Changed in SMAC World
Icon
23. Testing Analytics Applications – What Has Changed in SMAC World
Icon
Understanding your customers, gathering data and analyzing it
Icon
Testing the data
Icon
Testing the BI/BA applications
Icon
How is testing done differently for big data/Hadoop applications?
Icon
Conclusion
24
24. Migrating Applications to Cloud Environments – Key Testing Considerations
Icon
24. Migrating Applications to Cloud Environments – Key Testing Considerations
Icon
Need for validating applications for cloud migration
Icon
Key testing focus areas in cloud migration of applications
Icon
Key challenges in validation during cloud migration of applications
Icon
Application migration validation – a holistic approach
Icon
Conclusion
25
25. How Should a Tester Adapt to Cloud – Call for Change of Mindset among Testers
Icon
25. How Should a Tester Adapt to Cloud – Call for Change of Mindset among Testers
Icon
What must testers prepare for when testing applications on cloud
Icon
Conclusion
26
26. On-Demand Performance Testing on Self-Service Environments
Icon
26. On-Demand Performance Testing on Self-Service Environments
Icon
On-demand performance testing environments — key challenges and solutions
Icon
Need for a cloud platform to build end-to-end performance testing
Icon
On-demand self-service environments for carrying out performance testing
Icon
Key scenarios for on-demand performance testing – proposed architecture
Icon
Conclusion
27
27. Quality Assurance for Digital Marketing Initiatives
Icon
27. Quality Assurance for Digital Marketing Initiatives
Icon
Evolution of digital marketing
Icon
Challenges of implementing digital marketing
Icon
Need for quality focus in digital marketing initiatives
Icon
QA of digital marketing applications – key validations
Icon
Conclusion
28
28. Security Dashboard for the Board
Icon
28. Security Dashboard for the Board
Icon
Why security threats need to be monitored and reported?
Icon
What should be monitored and reported?
Icon
Specific metrics to be reported in dashboard
Icon
Consequences of security lapses
Icon
Key challenges in implementing a dashboard
Icon
Conclusion
29
29. Applying Robotic Automation to Mobile Applications Testing
Icon
29. Applying Robotic Automation to Mobile Applications Testing
Icon
Software robot and their applicability
Icon
The benefits of Robotic Process Automation (RPA)
Icon
Implementing RPA for mobile testing
Icon
Conclusion
Icon
References
30
30. Key Considerations in Testing Internet of Things (IoT) Applications
Icon
30. Key Considerations in Testing Internet of Things (IoT) Applications
Icon
Need for a robust IoT test strategy
Icon
IoT Revolution – key findings from the World Quality Report 2016
Icon
IoT Testing Considerations
Icon
IoT testing types
Icon
Conclusion
Icon
References
31
31. Algorithmic Business – In Need of Model-Based Testing
Icon
31. Algorithmic Business – In Need of Model-Based Testing
Icon
Introduction and journey of analytics
Icon
Algorithmic business – an illustration
Icon
Implications of testing – the need for model-based testing
Icon
Conclusion
32
32. Making Testing Adaptive, Interactive, Iterative, and Contextual with Cognitive Intelligence
Icon
32. Making Testing Adaptive, Interactive, Iterative, and Contextual with Cognitive Intelligence
Icon
Background – cognitive intelligence
Icon
What is cognitive testing all about?
Icon
Evolution of cognitive technology and available platforms
Icon
Methodologies involved in cognitive testing
Icon
Advantages of cognitive testing compared to the current methods
Icon
Sector specific use cases
Icon
Technologies supported
Icon
Costs involved
Icon
Challenges associated in implementing cognitive technologies
Icon
Conclusion
33
33. FinTech – A New Disruptor in Industry and Implications for Testing and QA
Icon
33. FinTech – A New Disruptor in Industry and Implications for Testing and QA
Icon
FinTech ecosystem
Icon
FinTech services and their impact on various sectors
Icon
Testing for FinTech applications or solutions
Icon
Conclusion
34
34. Blockchain Technology – Assuring Secure Business
Icon
34. Blockchain Technology – Assuring Secure Business
Icon
Introduction to blockchain
Icon
The blockchain process
Icon
Popular blockchains
Icon
Implication for testing
Icon
Conclusion
35
35. Technologies for Digital Supply Chains and QA Considerations
Icon
35. Technologies for Digital Supply Chains and QA Considerations
Icon
Understanding the customer buying process
Icon
Industry trends in supply chain management
Icon
New technologies in supply chain management
Icon
An illustration – new technologies in retail
Icon
Focus of QA in supply chain
Icon
Conclusion
36
36. Potential Innovations in eHealth-Care – Implications for Testing and QA
Icon
36. Potential Innovations in eHealth-Care – Implications for Testing and QA
Icon
Digital transformation trends in the healthcare sector
Icon
Applications of digital eHealth-Care care
Icon
Digital eHealth-Care care ecosystem
Icon
Typical challenges in digital eHealth-Care care
Icon
Need for robust digital QA
Icon
An illustrative customer journey validation of patient using wearables
Icon
Conclusion
37
37. Trends in the Global Automotive Sector – Implications for Testing and QA
Icon
37. Trends in the Global Automotive Sector – Implications for Testing and QA
Icon
Business drivers for global automotive evolution
Icon
Key highlights from the growing Chinese automotive market
Icon
Influence of global automotive trends on the Chinese market
Icon
How are trends in automotive segments shaping software testing?
Icon
Conclusion
38
38. Digital Transformation in Consumer Products and Retail Sector – QA Considerations
Icon
38. Digital Transformation in Consumer Products and Retail Sector – QA Considerations
Icon
Current challenges in the consumer products and retail sector
Icon
Physical versus online stores – key trends
Icon
Digital transformation in CPR industry
Icon
Customer journey of a digital shopper in an omni-channel environment – an illustration
Icon
Being digital – what value levers can it offer to CPR industry
Icon
Factors considered by digital shoppers
Icon
Multi/omni-channel CPR – quality considerations
Icon
Digital transformation in CPR - tests required
Icon
Conclusion
39
39. Digital Transformation Trends in Energy and Utilities – QA Considerations
Icon
39. Digital Transformation Trends in Energy and Utilities – QA Considerations
Icon
Technology trends in utilities industry
Icon
Key technology blocks of digital transformation in the EUC sector
Icon
Challenge of multichannel and the need for a unified customer journey
Icon
Testing considerations in an EUC customer journey – an illustration
Icon
Testing considerations in smart metering infrastructure – an illustration
Icon
Digital transformation QA trends in EUC
Icon
Conclusion
Icon
References
40
40. Smart Energy and Smart Grids – in Need of Effective Testing
Icon
40. Smart Energy and Smart Grids – in Need of Effective Testing
Icon
Background
Icon
Trends in Energy and Utilities (E&U)
Icon
Typical challenges in the E&U segment
Icon
Smart Meters and Smart Grids
Icon
Testing process for Smart Metering Infrastructure (SMI)
Icon
Conclusion
41
41. Testing Airline Digital Applications – Case for Responsive Design
Icon
41. Testing Airline Digital Applications – Case for Responsive Design
Icon
Background – the state of the airline business
Icon
Role of digitization
Icon
QA and testing in the airline industry
Icon
Testing responsive web designs
Icon
Conclusion
42
42. Orthogonal Array Testing (OAT) – an Application in Healthcare Industry
Icon
42. Orthogonal Array Testing (OAT) – an Application in Healthcare Industry
Icon
Background
Icon
Challenges in H&LS applications testing
Icon
How can Orthogonal Array Testing Strategy (OATS) help?
Icon
Conclusion
43
43. Future of Consulting in the Era of Digital Disruption
Icon
43. Future of Consulting in the Era of Digital Disruption
Icon
Digital driving a shift in the way consulting worked
Icon
The digital age consultant
Icon
Future of consulting
Icon
What would I do differently as a consultant now?
Icon
Conclusion
44
44. Future of Testing in the Digital World
Icon
44. Future of Testing in the Digital World
Icon
Key technology trends that would shape the future of Information Technology
Icon
Testing considerations for new technologies
Icon
Conclusion
45
45. Future of Testing – Career Opportunities
Icon
45. Future of Testing – Career Opportunities
Icon
Career options in testing services
Icon
Typical roles in testing services
Icon
The importance of industry and domain, technology and tools, and process skills in testing careers
Icon
Required skills for agile and DevOps testing
Icon
New breed of testers in DevOps
Icon
Conclusion
46
46. Robotics and Machine Learning Combined with Internet of Things – What Could This Mean for Indian Services Industries
Icon
46. Robotics and Machine Learning Combined with Internet of Things – What Could This Mean for Indian Services Industries
Icon
Understanding the context – robotics, machine learning, and IoT
Icon
What does advancement of technology mean for the Indian economy?
Icon
Outlook for the the services sector in India – a point of view
Icon
Conclusion
47
A. References
Icon
Across Chapters – World Quality Report 2016 (Capgemini, Sogeti, HPE):
Icon
Chapter 2 – Future of Testing Engagement Models – Are Predictions of increased QA Spends Justified?
Icon
Chapter 3 – The Benefits of Replacing Testing Subcontractors with Managed Testing Services
Icon
Chapter 18 – Service Virtualization as an Enabler of DevOps
Icon
Chapter 30 – Key Considerations in Testing Internet of Things (IOT) Applications
Icon
Chapter 31 – Algorithmic Business – In Need of Model-Based Testing
Icon
Chapter 46 – Robotics and Machine Learning Combined with Internet of Things – What could this mean for Indian Services Industries
48
Index
Icon
Index

ChatOps – How does it work?

The basic structure of ChatOps and mapping of testing steps is provided in the following screenshot:

ChatOps – How does it work?

In the DevOps environment, teams use chat clients such as HipChat, Slak, or Flowdock for their regular communication. This is integrated with bots such as Hubot, Lita, or Err. A chat client manages a group of people who are responsible to address issues and incidents. A user can give commands to bots via a chat window to perform basic tasks such as server reset, ticket creation, and deploying the code. Bots in the background are connected with an API of any incident management or the Application Life cycle Management (ALM) tool from where they fetch the required information. When an issue is generated, everyone who is a part of the chat knows it. This helps to identify the correct person to resolve the issue. ChatOps as a concept can be applied to various types of services such as application management services, and testing services.

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Testing Practitioner Handbook
End of Section 12
Next Section
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon