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Testing Practitioner Handbook
Testing Practitioner Handbook

Testing Practitioner Handbook: Gain insights into the latest technology and business trends within testing domains.

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Testing Practitioner Handbook

Chapter 2. Future of Testing Engagement Models – Are Predictions of Increased QA Spends Justified?

In this chapter, we will discuss the future of testing engagement models in light of current developments in digital space and increased adoption of Agile/DevOps models.

Would Dev-Ops shrink the amount of testing that is done in current world? If so, what would be the impact? As per WQR2016 findings, testing spend would increase up to 40% by organizations. How does this increased spend prediction align to the fact that more engagements would follow decentralized QA in Agile/DevOps life cycle?

How is QA effort spread

Let's discuss the following topics:

  • How QA effort is split between development and production support
  • Reasons for increase of QA effort in the design phase

Split of QA effort between development and production support

Share of QA spend in new development projects (as against enhancements/maintenance projects) has grown from 2012-13 to 2013-14 to 2014-15, from 41% to 46% to 52% respectively.

In 2015-16, the QA spend was split 50:50 between new development and production support.

In 2014-15, for the first time, the QA spend for Development exceeded the QA spend for production support. This is in line with more development projects with organizations undertaking more digital transformation related development work. Refer to the following graph:

Split of QA effort between development and production support

Increased QA efforts for new development – point of view

It is evident that when QA is done for new code (as against QA for maintaining/enhancing the existing code), QA effort will be higher.

Organizations are practicing...

QA organizations would follow hybrid QA teams (centralized and decentralized)

In this section, we will discuss the future organization of QA teams.

As per WQR2015, the use of internal independent industrialized test TCOE stabilized and would see decline.

Use of a combination of centralized and decentralized teams (Hybrid) for QA grew from 35% in 2013-14 to 43% in 2014-15.

WQR 2015 reported 24% respondents citing plans to have internal TCOE as against 24% in 2014-15 and 23% in 2013-14.

A total of 18% cited no plan for TCOE in 2015-16 as against 20% in 2014-15 and 26% in 2013-14.

A total of 11% cited plans to use third-party TCOE in 2015-16, as against 15% in 2014-15 and 19% in 2013-14.

Trend towards Hybrid QA teams – point of view

The preceding observations point to a need for testers to work with developers through life cycle—shift-left as well as shift-right. Use of dedicated TCOEs will not continue to rise as in the past and shall need to scale to provide services in platform as...

What will be the future of testing engagement models?

Analysts, such as Forrester, believe that traditional Managed Test Services (MTS) deals may be fewer in the future.

Recent Gartner Research findings suggest that MTS market will see a 15% growth. Organizations that are yet to mature in rolling out managed testing functions shall need to look at establishing an MTS organization while the organizations that have MTS organizations or equivalent need to look at Managed Test Operation (MTO) with aim to mature testing functions to Quality Assurance.

There is little doubt that organizations specializing in quality/test service offerings are looking at ways to align their models to client needs.

Both the providers as well as the clients are contemplating on the following questions:

  • Provider Perspective: What do our clients need? What are we offering?
  • Client Perspective: What do I need? What do I want my providers to offer?

Future of testing engagement models – point of view

Providers as well...

Conclusion

In this chapter, we considered data points about an increased split of QA effort in development projects as against production support. This aligns with the need for more QA in new development projects associated with digital transformation. We also considered the trend of increased QA effort in the design phase, which aligns with the need for Shift-Left and Shift-Right principles in the DevOps life cycle.

We considered data points relating to the future of centralized with regard to the decentralized models of QA and concluded that the future will see the use of hybrid models. Organizations will continue to use MTS and Centralized COEs for business as usual functions to carry out QA efficiently. For the digital transformation initiatives and projects in the Agile/DevOps life cycle, the projects will carry out testing in the decentralized mode. Distributed Agile is an option that is also considered.

We then discussed future testing engagement models with a 3-plateau approach to...

How is QA effort spread


Let's discuss the following topics:

  • How QA effort is split between development and production support

  • Reasons for increase of QA effort in the design phase

Split of QA effort between development and production support

Share of QA spend in new development projects (as against enhancements/maintenance projects) has grown from 2012-13 to 2013-14 to 2014-15, from 41% to 46% to 52% respectively.

In 2015-16, the QA spend was split 50:50 between new development and production support.

In 2014-15, for the first time, the QA spend for Development exceeded the QA spend for production support. This is in line with more development projects with organizations undertaking more digital transformation related development work. Refer to the following graph:

Increased QA efforts for new development – point of view

It is evident that when QA is done for new code (as against QA for maintaining/enhancing the existing code), QA effort will be higher.

Organizations are practicing Agile/DevOps to...

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Key benefits

  • This book covers the latest trends that every Testing and QA professional should keep up-to-date with given the advancements in digital technologies.
  • Master cutting-edge testing techniques for emerging areas such as IOT, Machine Learning, Cognitive.
  • Best practices for Testing and Quality Assurance within several industry domains.

Description

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.

Who is this book for?

This book is targeted at those working in the QA and Testing areas. The book does not cover testing basics, which QA professional are already familiar with—for example, writing a test plan or test case, and so on.

What you will learn

  • Understand the TCOE model, managed services, the structure of testing in Agile/DevOps engagements, factory models, and crowdsourcing
  • Implement testing processes, practices, and automation tools in the Agile/DevOps life cycle
  • Adapt to current technologies in social media, mobile, analytics and the Cloud
  • Leverage cognitive intelligence/machine-learning, robotics, and the Internet of Things in testing
  • How key industries/domains (consumer products and retail, energy and utilities, healthcare, telecom, and automotive) adapt to digital transformation
  • Future directions for the QA industry, consulting careers, testing profession, and professionals

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 22, 2017
Length: 350 pages
Edition : 1st
Language : English
ISBN-13 : 9781788299541
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Product Details

Publication date : Mar 22, 2017
Length: 350 pages
Edition : 1st
Language : English
ISBN-13 : 9781788299541
Category :

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Table of Contents

48 Chapters
1. State of Digital Transformation – What Has Changed in the Last Four Years (2013-16)? Chevron down icon Chevron up icon
2. Future of Testing Engagement Models – Are Predictions of Increased QA Spends Justified? Chevron down icon Chevron up icon
3. The Benefits of Replacing Testing Subcontractors with Managed Testing Services Chevron down icon Chevron up icon
4. Digital Quality Assurance in a Factory Model Chevron down icon Chevron up icon
5. Crowdsourcing – Enabling Flexible, On-Demand Testing COEs Chevron down icon Chevron up icon
6. Testing Goes an Extra Mile over Weekends Chevron down icon Chevron up icon
7. Testing in Agile Development and the State of Agile Adoption Chevron down icon Chevron up icon
8. Agile and DevOps Adoption are Gaining Momentum Chevron down icon Chevron up icon
9. Does the Rise of DevOps Undermine Agile? Chevron down icon Chevron up icon
10. Role of Automation in DevOps Life Cycle Chevron down icon Chevron up icon
11. Assessing the State of Your DevOps Adoption with DevOps Benchmarking Approach Chevron down icon Chevron up icon
12. Accelerating DevOps – ChatOps is the New Cool Chevron down icon Chevron up icon
13. Behavior-Driven Development (BDD) Using Gherkin in Agile/DevOps Environment Chevron down icon Chevron up icon
14. Automating Configuration Management for DevOps Test Environments Chevron down icon Chevron up icon
15. Automated Test Data Management in the DevOps Environment Chevron down icon Chevron up icon
16. Testing in DevOps Life Cycle Using Microservices Architecture Chevron down icon Chevron up icon
17. Automated Test Environments for DevOps Chevron down icon Chevron up icon
18. Service Virtualization as an Enabler of DevOps Chevron down icon Chevron up icon
19. Best Practices in Identifying Regression Test Cases Chevron down icon Chevron up icon
20. Accessibility Test Automation in DevOps Environment Chevron down icon Chevron up icon
21. Performance Tuning of Java Applications Chevron down icon Chevron up icon
22. Testing Mobile Applications – Key Challenges and Considerations Chevron down icon Chevron up icon
23. Testing Analytics Applications – What Has Changed in SMAC World Chevron down icon Chevron up icon
24. Migrating Applications to Cloud Environments – Key Testing Considerations Chevron down icon Chevron up icon
25. How Should a Tester Adapt to Cloud – Call for Change of Mindset among Testers Chevron down icon Chevron up icon
26. On-Demand Performance Testing on Self-Service Environments Chevron down icon Chevron up icon
27. Quality Assurance for Digital Marketing Initiatives Chevron down icon Chevron up icon
28. Security Dashboard for the Board Chevron down icon Chevron up icon
29. Applying Robotic Automation to Mobile Applications Testing Chevron down icon Chevron up icon
30. Key Considerations in Testing Internet of Things (IoT) Applications Chevron down icon Chevron up icon
31. Algorithmic Business – In Need of Model-Based Testing Chevron down icon Chevron up icon
32. Making Testing Adaptive, Interactive, Iterative, and Contextual with Cognitive Intelligence Chevron down icon Chevron up icon
33. FinTech – A New Disruptor in Industry and Implications for Testing and QA Chevron down icon Chevron up icon
34. Blockchain Technology – Assuring Secure Business Chevron down icon Chevron up icon
35. Technologies for Digital Supply Chains and QA Considerations Chevron down icon Chevron up icon
36. Potential Innovations in eHealth-Care – Implications for Testing and QA Chevron down icon Chevron up icon
37. Trends in the Global Automotive Sector – Implications for Testing and QA Chevron down icon Chevron up icon
38. Digital Transformation in Consumer Products and Retail Sector – QA Considerations Chevron down icon Chevron up icon
39. Digital Transformation Trends in Energy and Utilities – QA Considerations Chevron down icon Chevron up icon
40. Smart Energy and Smart Grids – in Need of Effective Testing Chevron down icon Chevron up icon
41. Testing Airline Digital Applications – Case for Responsive Design Chevron down icon Chevron up icon
42. Orthogonal Array Testing (OAT) – an Application in Healthcare Industry Chevron down icon Chevron up icon
43. Future of Consulting in the Era of Digital Disruption Chevron down icon Chevron up icon
44. Future of Testing in the Digital World Chevron down icon Chevron up icon
45. Future of Testing – Career Opportunities Chevron down icon Chevron up icon
46. Robotics and Machine Learning Combined with Internet of Things – What Could This Mean for Indian Services Industries Chevron down icon Chevron up icon
A. References Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

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4 star 10.5%
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2 star 5.3%
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Srinivasa Rao Ganta(SRG) May 02, 2017
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It's great wealth of information about crowd testing, cognitive testing and other industry 4.0 revolution testing concepts.
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Ravindran Antonysamy May 31, 2017
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Got the Paperbook delivered, and the printing / design is really good. Must have book for any QA Manager / Engineer in the software service Industry. Its a overview book for every details in the QA Industry. though Its sometimes not goes beyond overview (topics like testing mobile applications - Chapter 22 / automation in mobile application testing - Chapter 29)..On the other hand, this book has everything. from IOT to DevOps testing, Blockchain to e-health care. Authors experience with various domains, projects squeezed into a single book. I wish this could be added to university curriculum. Thank you Renu and all the people contributed / supported her to bring this book out.
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Amazon Customer May 03, 2017
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This is one of the must read books. Very nicely articulated. Covers the latest trends & best practices.
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Amazon Customer Apr 30, 2017
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This book content coverage from TCOE Model, Technology and Domain aspects are excellent, the way they articulated this book content and chapters ordering is Awesome.
Amazon Verified review Amazon
Amazon Customer Jun 24, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Very helpful especially for beginners. Very handy and I would definitely recommend to my fellow testers! Great job
Amazon Verified review Amazon
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