Testing Practitioner Handbook

Table of Contents

Testing Practitioner Handbook

Credits

About the Author

Acknowledgement

About the Reviewer

www.PacktPub.com

eBooks, discount offers, and more

Why subscribe?

Customer Feedback

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Errata

Piracy

Questions

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

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

How is QA effort spread

Split of QA effort between development and production support

Increased QA efforts for new development – point of view

Increase of QA effort in the design phase

Increased QA effort in the design phase – point of view

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

Trend towards Hybrid QA teams – point of view

What will be the future of testing engagement models?

Future of testing engagement models – point of view

Conclusion

References

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

Knowledge retention

Handover

Cost of resourcing

Economies of scale

Illustration of benefits

A saving calculator

Conclusion

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

DQAF enablement functions

DQAF service delivery functions

Benefits delivered through DQAF model

Conclusion

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)

Key challenges of adopting crowdtesting

The benefits of crowdtesting

Conclusion

References

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

7. Testing in Agile Development and the State of Agile Adoption

What do agile projects promise compared to traditional waterfall?

Flavors of agile

Scrum

Kanban

How is testing done in agile sprints?

Agile in distributed environments

State of agile adoption – findings from the World Quality Report 2016-2017

Challenges in applying agile methodology

Approaches to testing in agile development environments

Skills needed from QA and testing professions for agile

Conclusion

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

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

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

Automation coverage

Automation index

Framework and scripts reusability

Automation scripting and execution productivity

Automation ROI

Automation progress tracking

Best practices to adopt early and continuously automate

Treating automation as any other development work

Quality engineering

Coupling of development, automation, and test teams

Selecting the right solution

Conclusion

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

Outcome of DevOps QA benchmarking assessment

Conclusion

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

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

14. Automating Configuration Management for DevOps Test Environments

Background

Types of test environments

Configuration and environment management services on cloud and related challenges

Potential solutions for automated configuration management

The benefits of automating configuration management

Conclusion

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

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

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

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

19. Best Practices in Identifying Regression Test Cases

Background – software regression testing

Software regression process

How should one choose test cases for regression?

Conclusion

20. Accessibility Test Automation in DevOps Environment

Background – Accessibility (AX)

AX and DevOps

AX test automation in DevOps

Standard AX tools

Conclusion

21. Performance Tuning of Java Applications

Performance bottlenecks – key challenges and solutions

Reusing objects

Managing pool of objects

Canonicalizing objects

Enumerating constants

Comparison versus identity

Avoiding excess garbage collection

Delayed initialization

Java performance tuning tools

NetBean profiler for analyzing Java applications

Thread state

CPU Performance

Memory Usage

Conclusion

22. Testing Mobile Applications – Key Challenges and Considerations

User expectations

Key challenges encountered in testing mobile applications

User experience

Contextual appropriateness

Varied mobile user interfaces

Device diversity and availability

Device based testing approach

Automated testing of layouts

Test automation challenges with non-standardized tools

Reduced time to market

Recommendations to enhance mobile applications usability

Conclusion

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

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

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

Testing the invisible

Understanding the distance

Breaking the communication barriers

Securing the application

Replicating the platform

Using the right tools

Conclusion

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

Scenario-1 — Architecture and how performance testing is carried out

Scenario-2 — Architecture and how performance testing is carried out

Conclusion

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

28. Security Dashboard for the Board

Why security threats need to be monitored and reported?

What should be monitored and reported?

Application security/vulnerability management

Specific metrics to be reported in dashboard

Consequences of security lapses

Key challenges in implementing a dashboard

Conclusion

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

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

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

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

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

34. Blockchain Technology – Assuring Secure Business

Introduction to blockchain

The blockchain process

Popular blockchains

Implication for testing

Conclusion

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

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

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

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

Brick-and-mortar – physical stores

Online stores

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

Inventory visibility

Web-ready products

Predictive customer analysis

Fulfillment strategy

Digital transformation in CPR - tests required

Conclusion

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

40. Smart Energy and Smart Grids – in Need of Effective Testing

Background

Trends in Energy and Utilities (E&U)

E&U Trends – References from WQR 2016

Typical challenges in the E&U segment

Smart Meters and Smart Grids

Testing process for Smart Metering Infrastructure (SMI)

Conclusion

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 business rules implementation

Systems integration testing

Non-functional testing

Testing responsive web designs

Conclusion

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

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?

Engage with my clients more through the life cycle

Don't drop a bomb of travel costs

Solving the consultant utilization problem with Crowd-Source

Flexible operating model of consulting firms

Conclusion

44. Future of Testing in the Digital World

Key technology trends that would shape the future of Information Technology

Pervasive technologies and predictive analytics for customer experience

Cognitive Intelligence in Connected Autonomous Vehicle (CAV)

Multi-channel customer connect – wearable technology

Disintermediation – business platform to connect new partners

Changing workplaces of future – Robotic Process Automation (RPA)

Testing considerations for new technologies

Pervasive technologies and predictive analytics

Cognitive intelligence – Connected Autonomous Vehicle (CAV)

Multi-channel customer connect – wearable technology

Disintermediation – business platform

Changing workplaces of the future – robotic process automation

Conclusion

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

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?

Learning from the global oil price crash

Learning from the economic slowdown of China–what caused the slowdown in China?

Outlook for the the services sector in India – a point of view

Conclusion

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

Testing Practitioner Handbook

Testing Practitioner Handbook

Copyright © 2017 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: March 2017

Production reference: 1170317

Published by Packt Publishing Ltd.

Livery Place

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Birmingham B3 2PB, UK.

ISBN 978-1-78829-954-1

www.packtpub.com

Credits

Author

Renu Rajani

Reviewer

Jorge Armin Garcia Lopez

Commissioning Editor

Ashwin Nair

Acquisition Editor

Denim Pinto

Content Development Editor

Anurag Ghogre

Technical Editor

Rutuja Vaze

Copy Editor

Shaila Kusanale

Proofreader

Safis Editing

Indexer

Tejal Daruwale Soni

Graphics

Abhinash Sahu

Production Coordinator

Deepika Naik

About the Author

Renu Rajani is a seasoned IT services/consulting leader with 27 years of experience. She has worked with reputed tier-1 IT services companies. Renu's experience spans across delivery, transformation, providing technical solutions, outsourcing governance, and consulting.

She has served Tier-1 organizations including IBM, Citi, Capgemini, KPMG Consulting in key leadership roles.

Renu is an active blogger on digital quality assurance, technology, and managed services and has a follower base of over 15K on social media. She has been a key contributor to Capgemini/Sogeti/HPE World Quality Report during 2015-17. She has led the creation of go-to-market offerings in the area of digital, DevOps, and business assurance.

Renu has been recipient of the Testing Thought Leadership award in 2008 by PureTesting and Testing Leader of the year award by Unicom in 2015.

This book brings together some of her popular blogs on latest technologies and QA considerations in a book form. Renu authored her first book on software testing in 2003 with McGrawHill.

Renu holds an MS from the Krannert Graduate School of Management, Purdue University USA, an MBA in Finance from DAVV Indore, and a B Tech in Computer Science from IET, Lucknow University. She is an IBM Sr PM certified with DPE/SM discipline, and holds the ITIL V3, CAIIB, and PMP Certifications.

Acknowledgement

I would like to thank my family for putting up with my blogging/social media activities that I have been deeply entrenched into and have led to this book. I would like to thank several colleagues who have contributed to the authoring of my blogs. A list of contributors for the supporting content of respective chapters is provided in the following table:

About the Reviewer

Jorge Armin Garcia Lopez is a very passionate Information Security Consultant from Mexico with more than 8 years of experience in computer security, penetration testing, intrusion detection/prevention, malware analysis, and incident response. He is the head of GCS-CERT. He is also a security researcher at Cipher Storm Ltd Group and is the cofounder and CEO of the most important security conference in Mexico, called BUGCON. He holds important security industry certifications, such as OSCP, GCIA, and GPEN. He loves to review code and books about information security and programming languages. He has worked on Penetration Testing with Blackbox, Penetration Testing with the Bash Shell, Learning OpenStack Networking (Neutron), Django Essentials, and Getting Started with Djando all by Packt.

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Preface

The book is based on my experience of leading and transforming large test engagements and architecting solutions for customer testing requirements, bids, or problem areas. I have been actively blogging in the area of Managed Testing Services, various emerging technologies in the digital world, and how these impact the way quality assurance is carried out.

My continued blogging activity over the last two years, and the inputs and encouragement from my follower base have encouraged me to author this Quality Assurance (QA) practitioners handbook. With each blogpost, I provided a point of view on emerging areas before others.

This book would help QA and other IT professionals keep abreast of industry and technology changes and better adapt to digital transformation. This book would be a valuable source to find points of view, practices, trends, tools, and solutions for QA professionals involved in new-age testing.

What this book covers

Chapter 1, State of Digital Transformation – What Has Changed in the Last Four Years (2013-16)? to Chapter 5, Crowdsourcing – Enabling Flexible, On-Demand Testing COEs: We start with trends in digital transformation in Chapter 1, State of Digital Transformation – What Has Changed in the Last Four Years (2013-16)?. Through Chapter 2, Future of Testing Engagement Models – Are Predictions of Increased QA Spends Justified?, to Chapter 5, Crowdsourcing – Enabling Flexible, On-Demand Testing COEs, we cover the evolution of testing engagement and operating models such as Managed