SlideShare una empresa de Scribd logo
1 de 5
Descargar para leer sin conexión
Adopting the Right Software Test Maturity
Assessment Model
To deliver world-class quality outcomes relevant to their business
objectives, IT organizations need to choose wisely between industry
standard and advisory testing assessment approaches.
Executive Summary
Over the past few years, we have conducted
a steady stream of enterprise conversations
regarding test maturity assessments. The key
driver: IT executives realize the growing critical-
ity of software testing within the overall software
development ecosystem. Software develop-
ment complexity has grown manifold times,
compounded by an expansion in the scope, size
and coverage of technology. This has, in turn,
led to an increasing complexity in the testing
lifecycle. The process of applications testing is
continuously evolving (at its core) to align with
changes in the technology landscape.
Moreover, IT organizations are under constant
pressure to control costs and justify their invest-
ments. Therefore, it is imperative to have pre-
dictable processes, deploy skilled resources
and leverage productivity tools while improving
quality, reducing costs and accelerating time-
to-market. More often than not, enterprises are
unable to balance the two sides of the equation,
due to the constant struggle of marrying both
objectives. One way of getting around this is to
have an independent body assess IT process
maturity. The outcome of such maturity assess-
ments has played a vital role in shaping the
objectives of test organizations. Findings from
such assessments have helped test organizations
evolve from merely focusing on defect identifica-
tion within the engineering lifecycle to offering a
set of value-enabling processes to advance the
development ecosystem.
However, with multiple assessment models made
available today, including industry- and service
provider-specific models, organizations are
challenged to identify the assessment model
pertinent to their needs. This white paper demys-
tifies the various available assessment models
and presents guidelines to choose the best-fit
model, one relevant to a given business.
Choosing a Test Maturity Assessment
Model
Industry gurus have forever debated the virtues
and vices of standard and advisory models. The
discussion typically pivots around whether to use
a globally recognized industry-standard model or
a proprietary (or assessment) model for multiple
global and multinational enterprises.
The typical objective of any test maturity
assessment is to identify the areas of inefficien-
cy to reduce costs, increase quality and improve
time-to-market. Since the late 1970s, when testing
cognizant 20-20 insights | june 2014
• Cognizant 20-20 Insights
2
became an independent profession, various orga-
nizations such as ANSI, ISO, IEEE, SEI and the
TMMi Foundation have published frameworks
and standards with the aim of standardizing and
streamlining application testing practices. Along
with the best practice models, these industry
bodies also developed frameworks to certify and
benchmark the level of maturity regarding the
adoption and implementation of certain industry
best practices. Among these, TMMi is the only
organization that has adopted a framework-
based approach; others provide prescriptive
guidelines. For the purpose
of easy reference, this paper
will use TMMi as the industry
standard assessment model.
Over time, various service
organizations have extracted
what they have believed to
be the best practices from
guidelines and frameworks
such as those proposed by
ISO, IEEE, SEI and TMMi to develop their own
variants. Service organizations have applied their
years of experience to further develop and refine
their frameworks. As a result, multiple models
exist that enable test organizations to assess
their current state efficiencies and effectiveness,
understand the gaps and define a transforma-
tional roadmap, all while benchmarking the test
organization against its peers. In this paper, such
models are referred to as advisory assessment
models.
Test Assessment Models and Their
Coverage
All organizations have their test delivery
processes that run at some level of maturity,
including those perceived to be at lower levels.
Relative to testing, organizations with low levels
of maturity are likely to have informal and undoc-
umented processes. When these testing teams
interact with other teams working on upstream
and downstream activities, there is a chance
of methodological conflict. This increases the
cost of quality and injects inefficiency into the
delivery ecosystem. These problems compound if
the organization scales up and has multiple test
delivery teams.
A test maturity assessment typically supports by
performing the following tasks:
•	Analyze the current state of processes.
•	Develop the target state, based on assessment
objectives, typically aligned to an industry ideal
or an internal/external benchmark.
•	Develop a set of recommendations on ways to
achieve the target state.
Broadly, the frameworks cover the following
aspects. Each of these four areas can be split
into multiple focus areas or aggregated into two
or three focus areas based on the assessment
context:
•	Organization and operating model: Focuses
on the structure of the test organization and
operating model.
•	Test lifecycle: Focuses on test delivery
processes such as estimation, management,
defect prevention, functional testing,
regression and UAT.
•	Support functions and PMO: Focuses on
touch points within the software delivery
lifecycle (SDLC), such as change, configuration,
build and release management, and on other
support functions such as knowledge and
project risk management.
•	Tools and infrastructure: Focuses on test
management and execution tools including
execution environment and nonfunctional
testing.
Assessment Models and Comparison
TMMi: The Industry Standard
Assessment Model
TMMi is best suited to enterprises with a full-
fledged IT organization and large volumes of
in-house software development and testing. To
be TMMi certified, organizations must spend
extensive time preparing for audits. Before an
external audit can be scheduled, they must be
able to demonstrate processes implemented and
executed at the planned TMMi level for at least two
full software releases or delivery cycles. The cer-
tification process is likely to be viewed as system
overhead and potentially occupy a significant
portion of the IT budget along with staff effort,
taking away from the core business activities.
Additionally, there are very few certified lead
TMMi assessors, which could potentially lead to
high audit costs.
Furthermore, TMMi is a staged model, in which all
process areas at every stage need to conform to
the defined stage criteria. It requires compliance
with all process areas (or acceptable alternatives)
of lower stages before the next stage capability
cognizant 20-20 insights
Relative to testing,
organizations with low
levels of maturity are
likely to have informal
and undocumented
processes.
can be assessed. As a result, in many IT organiza-
tions TMMi compliance can be restrictive.
Though this might seem discouraging at
first glance, a TMMi assessment has distinct
advantages. It was built using extensive industry
data and provides an excellent process library
and a standard book of knowledge. The TMMi
assessment provides a formal benchmark of an
organization’s test process maturity against a
globally accepted model. A TMMi rating increases
the visibility and acceptance of the test group and
its practices. For organizations that have in-house
development and testing, TMMi certification is
useful in reassuring their end businesses that they
are following industry standard best practices
and processes. Additionally, it streamlines the
process of IT integration with third-party vendors
as the guidelines and processes (standard book
of knowledge) that need to be adhered to by the
vendors are an industry standard.
Advisory Assessment Models
Advisory models are best suited to organizations
on the lookout for flexibility in assessing and
mapping their quality journeys. They could be a
part of small-scale organizations or multination-
al companies with varying degrees of in-house
software development and testing. The biggest
advantage with these models is they are based on
the company’s operating model, thereby helping
it organize in a way that enables an efficient test
function. Focus areas of these frameworks can
also vary based on the organization’s objectives
and scope. Most advisory models are continuous
models, thereby enabling organizations to build
capability in specific process areas that are of
primary importance.
Furthermore, most advisory models assess not
only compliance with the model, but also the
effectiveness of compliance. For instance, our best
in class (BIC) testing framework
maps the metrics to each of
its maturity levels. (For more
information on BIC, please
read our white paper “Software
Quality Transformation.”)The
best-in-class model provides
a quantitative measure to link
the maturity of testing process
areas to business outcomes. Organizations
benefit from these types of assessments since
they leverage the assessor’s delivery experience
to ensure efficient and effective delivery.
However, it must be noted that the models in
question are vendor-specific. The models create a
dependency on one vendor such that if a vendor
has conducted an assessment another vendor
will not implement the recommendations. This is
primarily because there is a level of subjectivity in
the recommendations and roadmaps that breeds
vendor bias. Therefore, organizations need to be
sure about their trusted vendor before starting
on a quality journey using advisory assessment
models.
A TMMi rating
increases the visibility
and acceptance of the
test group and
its practices.
Quick Take
During the implementation of our BIC test
assessment framework for a gaming company,
the client’s focus was on early defect identifica-
tion to contain more than 90% of defects to the
unit testing phase. We treated the process area
of unit testing not as a touch point to testing but
as a core test delivery process. As a result, the
implemented framework was more relevant and
effective compared with a stock standard process
implementation.Alongsimilarlines,weintroduced
a focus on support functions and touch points,
tool evaluation, automation and relevant solution
accelerators to ensure an outcome relevant to the
client’s objective of early defect containment.
To summarize, our recommendations were
centered on transforming the testing team into
a quality engineering team for exhaustive testing
of Java APIs using white box techniques as well
as testing the end-to-end product for business
readiness.
Gaming the Test Assessment Process
3cognizant 20-20 insights
cognizant 20-20 insights 4
Looking Ahead
The myth of process implementation is that it
caters to the lowest common denominator. In
reality, an effective matu-
rity assessment custom
builds an implementation
roadmap and reduces
waste. Enterprises should
consider the following
key questions to gauge
their current state and
understand what they
need from a test assess-
ment perspective so that
they can perform better:
•	What are the business drivers and objectives?
•	What is the kind of application being tested?
•	Is IT consolidated or distributed?
By tackling these questions, the decision on a
suitable assessment model is driven by both
strategic and operational considerations.
However, it is imperative that the recommenda-
tions are aligned to long-term goals and molded
around the core operating model. Doing so
enables organizations to be assessed either by
a vendor-specific model or an industry standard
model.
Conversely, for enterprises that want an
assessment for strategic purposes, answers to
the following questions will come in handy:
•	What is the purpose and the expected outcome
of the test maturity assessment?
•	What is the relevance of the organization’s IT
products in the market, versus its competi-
tion’s?
•	What is the long-term plan for the testing
services?
A strategic assessment can be leveraged as
a marketing tool for an enterprise’s internal
testing services, or to build confidence among its
business users. Unless the company has worked
with a specific vendor, or intends to transition
testing to a specific vendor, an industry standard
model has definitive selling value.
In conclusion, there is no single-fit right model.
An informed decision by IT stakeholders, in
discussion with the vendor, is the only way for
organizations to challenge the status quo.
There is no single-
fit right model. An
informed decision by
IT stakeholders, in
discussion with the
vendor, is the only way
for organizations to
challenge the status quo.
About the Authors
Shanmuga Karthikeyan is a Director within Cognizant’s Process and Quality Consulting Practice.
Karthik has over 19 years of experience in IT business development and delivery management with
a core knowledge of quality assurance (QA) in the banking and financial services and insurance
domains. He consults with Fortune 500 companies on transforming their QA functions into world-
class quality organizations and has assessed, designed, implemented and managed testing
centers of excellence for multiple large financial services organizations. Karthik can be reached at
Shanmuga.Karthikeyan@cognizant.com.
Srikanth Rao is an Associate Director within Cognizant’s Process and Quality Consulting Practice in
the Asia Pacific region. He has over 14 years of experience in the areas of banking, technology and
process, and quality engineering and assurance. Srikanth consults with companies on enterprise-wide
process implementation, change management, training and appraisals, with the help of industry-
best models, standards and frameworks. He has also worked in Europe with a large financial services
organization on its multicountry core banking implementation program. Srikanth can be reached at
Srikanth.Rao2@cognizant.com.
About Cognizant
Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process out-
sourcing services, dedicated to helping the world’s leading companies build stronger businesses. Headquartered in
Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry
and business process expertise, and a global, collaborative workforce that embodies the future of work. With over 75
development and delivery centers worldwide and approximately 178,600 employees as of March 31, 2014, Cognizant
is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among
the top performing and fastest growing companies in the world. Visit us online at www.cognizant.com or follow us on
Twitter: Cognizant.
World Headquarters
500 Frank W. Burr Blvd.
Teaneck, NJ 07666 USA
Phone: +1 201 801 0233
Fax: +1 201 801 0243
Toll Free: +1 888 937 3277
Email: inquiry@cognizant.com
European Headquarters
1 Kingdom Street
Paddington Central
London W2 6BD
Phone: +44 (0) 20 7297 7600
Fax: +44 (0) 20 7121 0102
Email: infouk@cognizant.com
India Operations Headquarters
#5/535, Old Mahabalipuram Road
Okkiyam Pettai, Thoraipakkam
Chennai, 600 096 India
Phone: +91 (0) 44 4209 6000
Fax: +91 (0) 44 4209 6060
Email: inquiryindia@cognizant.com
­­© Copyright 2014, Cognizant. All rights reserved. No part of this document may be reproduced, stored in a retrieval system, transmitted in any form or by any
means, electronic, mechanical, photocopying, recording, or otherwise, without the express written permission from Cognizant. The information contained herein is
subject to change without notice. All other trademarks mentioned herein are the property of their respective owners.

Más contenido relacionado

La actualidad más candente

Vendor Selection
Vendor SelectionVendor Selection
Vendor SelectionPMG-I
 
Next Generation Testing
Next Generation TestingNext Generation Testing
Next Generation TestingBen Cook
 
The International Journal of Engineering and Science (The IJES)
The International Journal of Engineering and Science (The IJES)The International Journal of Engineering and Science (The IJES)
The International Journal of Engineering and Science (The IJES)theijes
 
Quality management structure
Quality management structureQuality management structure
Quality management structureselinasimpson2501
 
2016 Quality Management System Vendor Software Benchmark Report
2016 Quality Management System Vendor Software Benchmark Report2016 Quality Management System Vendor Software Benchmark Report
2016 Quality Management System Vendor Software Benchmark ReportQuality & Regulatory Network LLC
 
Cost of software quality ( software quality assurance )
Cost of software quality ( software quality assurance )Cost of software quality ( software quality assurance )
Cost of software quality ( software quality assurance )Kiran Hanjar
 
ISTQB Advanced Study Guide - 8
ISTQB Advanced Study Guide - 8ISTQB Advanced Study Guide - 8
ISTQB Advanced Study Guide - 8Yogindernath Gupta
 
Fandamental quality mgt-Ch-6 and Ch-9
Fandamental quality mgt-Ch-6 and Ch-9Fandamental quality mgt-Ch-6 and Ch-9
Fandamental quality mgt-Ch-6 and Ch-9Sarvesh Soni
 
A Best Practices Guide to Quality Management
A Best Practices Guide to Quality ManagementA Best Practices Guide to Quality Management
A Best Practices Guide to Quality ManagementVERSE Solutions
 
Benchmarking technique
Benchmarking  techniqueBenchmarking  technique
Benchmarking techniqueMohit Singla
 
Quality Course 1
Quality Course 1Quality Course 1
Quality Course 1Fin1
 
Organizational Excellence Framework-Suppliers & Partners
Organizational Excellence Framework-Suppliers & PartnersOrganizational Excellence Framework-Suppliers & Partners
Organizational Excellence Framework-Suppliers & PartnersFlevy.com Best Practices
 
Electronic gmp systems (1)
Electronic gmp systems (1)Electronic gmp systems (1)
Electronic gmp systems (1)TAWFIKABBAD
 
HIgh Tech Electronics Logistics and Supply Chain Management Forum, Shanghai 2006
HIgh Tech Electronics Logistics and Supply Chain Management Forum, Shanghai 2006HIgh Tech Electronics Logistics and Supply Chain Management Forum, Shanghai 2006
HIgh Tech Electronics Logistics and Supply Chain Management Forum, Shanghai 2006Peter Woon
 
Achieving and Ensuring Business Process Acceptance for Systems and Software E...
Achieving and Ensuring Business Process Acceptance for Systems and Software E...Achieving and Ensuring Business Process Acceptance for Systems and Software E...
Achieving and Ensuring Business Process Acceptance for Systems and Software E...Dr. Mustafa Değerli
 
Unit I Software Testing and Quality Assurance
Unit I Software Testing and Quality AssuranceUnit I Software Testing and Quality Assurance
Unit I Software Testing and Quality AssuranceVinothkumaR Ramu
 
Design Controls: Building Objective Evidence and Process Architecture to Mee...
Design Controls: Building Objective Evidence and Process Architecture  to Mee...Design Controls: Building Objective Evidence and Process Architecture  to Mee...
Design Controls: Building Objective Evidence and Process Architecture to Mee...April Bright
 

La actualidad más candente (20)

CQE Preparation | asq code of ethics
CQE Preparation | asq code of ethicsCQE Preparation | asq code of ethics
CQE Preparation | asq code of ethics
 
Building model trust
Building model trustBuilding model trust
Building model trust
 
Vendor Selection
Vendor SelectionVendor Selection
Vendor Selection
 
Next Generation Testing
Next Generation TestingNext Generation Testing
Next Generation Testing
 
The International Journal of Engineering and Science (The IJES)
The International Journal of Engineering and Science (The IJES)The International Journal of Engineering and Science (The IJES)
The International Journal of Engineering and Science (The IJES)
 
Quality management structure
Quality management structureQuality management structure
Quality management structure
 
2016 Quality Management System Vendor Software Benchmark Report
2016 Quality Management System Vendor Software Benchmark Report2016 Quality Management System Vendor Software Benchmark Report
2016 Quality Management System Vendor Software Benchmark Report
 
Cost of software quality ( software quality assurance )
Cost of software quality ( software quality assurance )Cost of software quality ( software quality assurance )
Cost of software quality ( software quality assurance )
 
ISTQB Advanced Study Guide - 8
ISTQB Advanced Study Guide - 8ISTQB Advanced Study Guide - 8
ISTQB Advanced Study Guide - 8
 
Fandamental quality mgt-Ch-6 and Ch-9
Fandamental quality mgt-Ch-6 and Ch-9Fandamental quality mgt-Ch-6 and Ch-9
Fandamental quality mgt-Ch-6 and Ch-9
 
A Best Practices Guide to Quality Management
A Best Practices Guide to Quality ManagementA Best Practices Guide to Quality Management
A Best Practices Guide to Quality Management
 
Benchmarking technique
Benchmarking  techniqueBenchmarking  technique
Benchmarking technique
 
Quality Course 1
Quality Course 1Quality Course 1
Quality Course 1
 
Organizational Excellence Framework-Suppliers & Partners
Organizational Excellence Framework-Suppliers & PartnersOrganizational Excellence Framework-Suppliers & Partners
Organizational Excellence Framework-Suppliers & Partners
 
Electronic gmp systems (1)
Electronic gmp systems (1)Electronic gmp systems (1)
Electronic gmp systems (1)
 
HIgh Tech Electronics Logistics and Supply Chain Management Forum, Shanghai 2006
HIgh Tech Electronics Logistics and Supply Chain Management Forum, Shanghai 2006HIgh Tech Electronics Logistics and Supply Chain Management Forum, Shanghai 2006
HIgh Tech Electronics Logistics and Supply Chain Management Forum, Shanghai 2006
 
Achieving and Ensuring Business Process Acceptance for Systems and Software E...
Achieving and Ensuring Business Process Acceptance for Systems and Software E...Achieving and Ensuring Business Process Acceptance for Systems and Software E...
Achieving and Ensuring Business Process Acceptance for Systems and Software E...
 
Unit I Software Testing and Quality Assurance
Unit I Software Testing and Quality AssuranceUnit I Software Testing and Quality Assurance
Unit I Software Testing and Quality Assurance
 
Design Controls: Building Objective Evidence and Process Architecture to Mee...
Design Controls: Building Objective Evidence and Process Architecture  to Mee...Design Controls: Building Objective Evidence and Process Architecture  to Mee...
Design Controls: Building Objective Evidence and Process Architecture to Mee...
 
Copqisausefultool
CopqisausefultoolCopqisausefultool
Copqisausefultool
 

Similar a Adopting the Right Software Test Maturity Assessment Model

РАМЕЛЛА БАСЕНКО «Поліпшення процесу тестування, як результат аудиту процесів ...
РАМЕЛЛА БАСЕНКО «Поліпшення процесу тестування, як результат аудиту процесів ...РАМЕЛЛА БАСЕНКО «Поліпшення процесу тестування, як результат аудиту процесів ...
РАМЕЛЛА БАСЕНКО «Поліпшення процесу тестування, як результат аудиту процесів ...GoQA
 
Standards models for setting up a robust t co-e
Standards models for setting up a robust t co-eStandards models for setting up a robust t co-e
Standards models for setting up a robust t co-eMaveric Systems
 
Standards / Models for Setting Up a Robust TCoE - Maveric Systems
Standards / Models for Setting Up a Robust TCoE - Maveric SystemsStandards / Models for Setting Up a Robust TCoE - Maveric Systems
Standards / Models for Setting Up a Robust TCoE - Maveric SystemsMaveric Systems
 
SYSTEM_ANALYSIS_AND_DESIGN_PRESENTATION_SLIDES.pptx
SYSTEM_ANALYSIS_AND_DESIGN_PRESENTATION_SLIDES.pptxSYSTEM_ANALYSIS_AND_DESIGN_PRESENTATION_SLIDES.pptx
SYSTEM_ANALYSIS_AND_DESIGN_PRESENTATION_SLIDES.pptxOkianWarner
 
The result of applying a new testing model for improving the quality of softw...
The result of applying a new testing model for improving the quality of softw...The result of applying a new testing model for improving the quality of softw...
The result of applying a new testing model for improving the quality of softw...amiraiti
 
Accelerating Grassroots Adoption of IT Quality Transformation
Accelerating Grassroots Adoption of IT Quality TransformationAccelerating Grassroots Adoption of IT Quality Transformation
Accelerating Grassroots Adoption of IT Quality TransformationCognizant
 
Tricentis-report_Forrester-Modernizing-Testing-to-Accelerate-Digital-Business...
Tricentis-report_Forrester-Modernizing-Testing-to-Accelerate-Digital-Business...Tricentis-report_Forrester-Modernizing-Testing-to-Accelerate-Digital-Business...
Tricentis-report_Forrester-Modernizing-Testing-to-Accelerate-Digital-Business...havoc2003
 
Decoding Quality Management Systems
Decoding Quality Management SystemsDecoding Quality Management Systems
Decoding Quality Management SystemsCognizant
 
Kivanc Kanturk Swe550 Fall2010 Capability Maturity Model Integration (Cmmi)
Kivanc Kanturk Swe550 Fall2010 Capability Maturity Model Integration (Cmmi)Kivanc Kanturk Swe550 Fall2010 Capability Maturity Model Integration (Cmmi)
Kivanc Kanturk Swe550 Fall2010 Capability Maturity Model Integration (Cmmi)Kivanc Kanturk
 
QAI - Cmmi Overview - Induction ppt
QAI - Cmmi Overview - Induction pptQAI - Cmmi Overview - Induction ppt
QAI - Cmmi Overview - Induction pptQAIites
 
Business process reengineering
Business process reengineeringBusiness process reengineering
Business process reengineeringcharles ogolla
 
Achieving IT Strategic Directives When Evaluating a New Promotional Content E...
Achieving IT Strategic Directives When Evaluating a New Promotional Content E...Achieving IT Strategic Directives When Evaluating a New Promotional Content E...
Achieving IT Strategic Directives When Evaluating a New Promotional Content E...Cognizant
 
A process maturity model for requirements engineering
A process maturity model for requirements engineeringA process maturity model for requirements engineering
A process maturity model for requirements engineeringIan Sommerville
 
Benchmarking Business Excellence
Benchmarking Business ExcellenceBenchmarking Business Excellence
Benchmarking Business ExcellenceManohar Tatwawadi
 

Similar a Adopting the Right Software Test Maturity Assessment Model (20)

РАМЕЛЛА БАСЕНКО «Поліпшення процесу тестування, як результат аудиту процесів ...
РАМЕЛЛА БАСЕНКО «Поліпшення процесу тестування, як результат аудиту процесів ...РАМЕЛЛА БАСЕНКО «Поліпшення процесу тестування, як результат аудиту процесів ...
РАМЕЛЛА БАСЕНКО «Поліпшення процесу тестування, як результат аудиту процесів ...
 
Standards models for setting up a robust t co-e
Standards models for setting up a robust t co-eStandards models for setting up a robust t co-e
Standards models for setting up a robust t co-e
 
Standards / Models for Setting Up a Robust TCoE - Maveric Systems
Standards / Models for Setting Up a Robust TCoE - Maveric SystemsStandards / Models for Setting Up a Robust TCoE - Maveric Systems
Standards / Models for Setting Up a Robust TCoE - Maveric Systems
 
SYSTEM_ANALYSIS_AND_DESIGN_PRESENTATION_SLIDES.pptx
SYSTEM_ANALYSIS_AND_DESIGN_PRESENTATION_SLIDES.pptxSYSTEM_ANALYSIS_AND_DESIGN_PRESENTATION_SLIDES.pptx
SYSTEM_ANALYSIS_AND_DESIGN_PRESENTATION_SLIDES.pptx
 
The result of applying a new testing model for improving the quality of softw...
The result of applying a new testing model for improving the quality of softw...The result of applying a new testing model for improving the quality of softw...
The result of applying a new testing model for improving the quality of softw...
 
SOA Maturity Model | Torry Harris Whitepaper
SOA Maturity Model | Torry Harris WhitepaperSOA Maturity Model | Torry Harris Whitepaper
SOA Maturity Model | Torry Harris Whitepaper
 
Accelerating Grassroots Adoption of IT Quality Transformation
Accelerating Grassroots Adoption of IT Quality TransformationAccelerating Grassroots Adoption of IT Quality Transformation
Accelerating Grassroots Adoption of IT Quality Transformation
 
Schofield - Using Benchmarks to Accelerate Process Improvement
Schofield - Using Benchmarks to Accelerate Process ImprovementSchofield - Using Benchmarks to Accelerate Process Improvement
Schofield - Using Benchmarks to Accelerate Process Improvement
 
Tricentis-report_Forrester-Modernizing-Testing-to-Accelerate-Digital-Business...
Tricentis-report_Forrester-Modernizing-Testing-to-Accelerate-Digital-Business...Tricentis-report_Forrester-Modernizing-Testing-to-Accelerate-Digital-Business...
Tricentis-report_Forrester-Modernizing-Testing-to-Accelerate-Digital-Business...
 
Quality management topics
Quality management topicsQuality management topics
Quality management topics
 
Decoding Quality Management Systems
Decoding Quality Management SystemsDecoding Quality Management Systems
Decoding Quality Management Systems
 
Kivanc Kanturk Swe550 Fall2010 Capability Maturity Model Integration (Cmmi)
Kivanc Kanturk Swe550 Fall2010 Capability Maturity Model Integration (Cmmi)Kivanc Kanturk Swe550 Fall2010 Capability Maturity Model Integration (Cmmi)
Kivanc Kanturk Swe550 Fall2010 Capability Maturity Model Integration (Cmmi)
 
Beanchmarketing
BeanchmarketingBeanchmarketing
Beanchmarketing
 
QAI - Cmmi Overview - Induction ppt
QAI - Cmmi Overview - Induction pptQAI - Cmmi Overview - Induction ppt
QAI - Cmmi Overview - Induction ppt
 
Optimize Your Quality Management System
Optimize Your Quality Management SystemOptimize Your Quality Management System
Optimize Your Quality Management System
 
Value of software testing
Value of software testingValue of software testing
Value of software testing
 
Business process reengineering
Business process reengineeringBusiness process reengineering
Business process reengineering
 
Achieving IT Strategic Directives When Evaluating a New Promotional Content E...
Achieving IT Strategic Directives When Evaluating a New Promotional Content E...Achieving IT Strategic Directives When Evaluating a New Promotional Content E...
Achieving IT Strategic Directives When Evaluating a New Promotional Content E...
 
A process maturity model for requirements engineering
A process maturity model for requirements engineeringA process maturity model for requirements engineering
A process maturity model for requirements engineering
 
Benchmarking Business Excellence
Benchmarking Business ExcellenceBenchmarking Business Excellence
Benchmarking Business Excellence
 

Más de Cognizant

Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...
Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...
Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...Cognizant
 
Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-making
Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-makingData Modernization: Breaking the AI Vicious Cycle for Superior Decision-making
Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-makingCognizant
 
It Takes an Ecosystem: How Technology Companies Deliver Exceptional Experiences
It Takes an Ecosystem: How Technology Companies Deliver Exceptional ExperiencesIt Takes an Ecosystem: How Technology Companies Deliver Exceptional Experiences
It Takes an Ecosystem: How Technology Companies Deliver Exceptional ExperiencesCognizant
 
Intuition Engineered
Intuition EngineeredIntuition Engineered
Intuition EngineeredCognizant
 
The Work Ahead: Transportation and Logistics Delivering on the Digital-Physic...
The Work Ahead: Transportation and Logistics Delivering on the Digital-Physic...The Work Ahead: Transportation and Logistics Delivering on the Digital-Physic...
The Work Ahead: Transportation and Logistics Delivering on the Digital-Physic...Cognizant
 
Enhancing Desirability: Five Considerations for Winning Digital Initiatives
Enhancing Desirability: Five Considerations for Winning Digital InitiativesEnhancing Desirability: Five Considerations for Winning Digital Initiatives
Enhancing Desirability: Five Considerations for Winning Digital InitiativesCognizant
 
The Work Ahead in Manufacturing: Fulfilling the Agility Mandate
The Work Ahead in Manufacturing: Fulfilling the Agility MandateThe Work Ahead in Manufacturing: Fulfilling the Agility Mandate
The Work Ahead in Manufacturing: Fulfilling the Agility MandateCognizant
 
The Work Ahead in Higher Education: Repaving the Road for the Employees of To...
The Work Ahead in Higher Education: Repaving the Road for the Employees of To...The Work Ahead in Higher Education: Repaving the Road for the Employees of To...
The Work Ahead in Higher Education: Repaving the Road for the Employees of To...Cognizant
 
Engineering the Next-Gen Digital Claims Organisation for Australian General I...
Engineering the Next-Gen Digital Claims Organisation for Australian General I...Engineering the Next-Gen Digital Claims Organisation for Australian General I...
Engineering the Next-Gen Digital Claims Organisation for Australian General I...Cognizant
 
Profitability in the Direct-to-Consumer Marketplace: A Playbook for Media and...
Profitability in the Direct-to-Consumer Marketplace: A Playbook for Media and...Profitability in the Direct-to-Consumer Marketplace: A Playbook for Media and...
Profitability in the Direct-to-Consumer Marketplace: A Playbook for Media and...Cognizant
 
Green Rush: The Economic Imperative for Sustainability
Green Rush: The Economic Imperative for SustainabilityGreen Rush: The Economic Imperative for Sustainability
Green Rush: The Economic Imperative for SustainabilityCognizant
 
Policy Administration Modernization: Four Paths for Insurers
Policy Administration Modernization: Four Paths for InsurersPolicy Administration Modernization: Four Paths for Insurers
Policy Administration Modernization: Four Paths for InsurersCognizant
 
The Work Ahead in Utilities: Powering a Sustainable Future with Digital
The Work Ahead in Utilities: Powering a Sustainable Future with DigitalThe Work Ahead in Utilities: Powering a Sustainable Future with Digital
The Work Ahead in Utilities: Powering a Sustainable Future with DigitalCognizant
 
AI in Media & Entertainment: Starting the Journey to Value
AI in Media & Entertainment: Starting the Journey to ValueAI in Media & Entertainment: Starting the Journey to Value
AI in Media & Entertainment: Starting the Journey to ValueCognizant
 
Operations Workforce Management: A Data-Informed, Digital-First Approach
Operations Workforce Management: A Data-Informed, Digital-First ApproachOperations Workforce Management: A Data-Informed, Digital-First Approach
Operations Workforce Management: A Data-Informed, Digital-First ApproachCognizant
 
Five Priorities for Quality Engineering When Taking Banking to the Cloud
Five Priorities for Quality Engineering When Taking Banking to the CloudFive Priorities for Quality Engineering When Taking Banking to the Cloud
Five Priorities for Quality Engineering When Taking Banking to the CloudCognizant
 
Getting Ahead With AI: How APAC Companies Replicate Success by Remaining Focused
Getting Ahead With AI: How APAC Companies Replicate Success by Remaining FocusedGetting Ahead With AI: How APAC Companies Replicate Success by Remaining Focused
Getting Ahead With AI: How APAC Companies Replicate Success by Remaining FocusedCognizant
 
Crafting the Utility of the Future
Crafting the Utility of the FutureCrafting the Utility of the Future
Crafting the Utility of the FutureCognizant
 
Utilities Can Ramp Up CX with a Customer Data Platform
Utilities Can Ramp Up CX with a Customer Data PlatformUtilities Can Ramp Up CX with a Customer Data Platform
Utilities Can Ramp Up CX with a Customer Data PlatformCognizant
 
The Work Ahead in Intelligent Automation: Coping with Complexity in a Post-Pa...
The Work Ahead in Intelligent Automation: Coping with Complexity in a Post-Pa...The Work Ahead in Intelligent Automation: Coping with Complexity in a Post-Pa...
The Work Ahead in Intelligent Automation: Coping with Complexity in a Post-Pa...Cognizant
 

Más de Cognizant (20)

Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...
Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...
Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...
 
Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-making
Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-makingData Modernization: Breaking the AI Vicious Cycle for Superior Decision-making
Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-making
 
It Takes an Ecosystem: How Technology Companies Deliver Exceptional Experiences
It Takes an Ecosystem: How Technology Companies Deliver Exceptional ExperiencesIt Takes an Ecosystem: How Technology Companies Deliver Exceptional Experiences
It Takes an Ecosystem: How Technology Companies Deliver Exceptional Experiences
 
Intuition Engineered
Intuition EngineeredIntuition Engineered
Intuition Engineered
 
The Work Ahead: Transportation and Logistics Delivering on the Digital-Physic...
The Work Ahead: Transportation and Logistics Delivering on the Digital-Physic...The Work Ahead: Transportation and Logistics Delivering on the Digital-Physic...
The Work Ahead: Transportation and Logistics Delivering on the Digital-Physic...
 
Enhancing Desirability: Five Considerations for Winning Digital Initiatives
Enhancing Desirability: Five Considerations for Winning Digital InitiativesEnhancing Desirability: Five Considerations for Winning Digital Initiatives
Enhancing Desirability: Five Considerations for Winning Digital Initiatives
 
The Work Ahead in Manufacturing: Fulfilling the Agility Mandate
The Work Ahead in Manufacturing: Fulfilling the Agility MandateThe Work Ahead in Manufacturing: Fulfilling the Agility Mandate
The Work Ahead in Manufacturing: Fulfilling the Agility Mandate
 
The Work Ahead in Higher Education: Repaving the Road for the Employees of To...
The Work Ahead in Higher Education: Repaving the Road for the Employees of To...The Work Ahead in Higher Education: Repaving the Road for the Employees of To...
The Work Ahead in Higher Education: Repaving the Road for the Employees of To...
 
Engineering the Next-Gen Digital Claims Organisation for Australian General I...
Engineering the Next-Gen Digital Claims Organisation for Australian General I...Engineering the Next-Gen Digital Claims Organisation for Australian General I...
Engineering the Next-Gen Digital Claims Organisation for Australian General I...
 
Profitability in the Direct-to-Consumer Marketplace: A Playbook for Media and...
Profitability in the Direct-to-Consumer Marketplace: A Playbook for Media and...Profitability in the Direct-to-Consumer Marketplace: A Playbook for Media and...
Profitability in the Direct-to-Consumer Marketplace: A Playbook for Media and...
 
Green Rush: The Economic Imperative for Sustainability
Green Rush: The Economic Imperative for SustainabilityGreen Rush: The Economic Imperative for Sustainability
Green Rush: The Economic Imperative for Sustainability
 
Policy Administration Modernization: Four Paths for Insurers
Policy Administration Modernization: Four Paths for InsurersPolicy Administration Modernization: Four Paths for Insurers
Policy Administration Modernization: Four Paths for Insurers
 
The Work Ahead in Utilities: Powering a Sustainable Future with Digital
The Work Ahead in Utilities: Powering a Sustainable Future with DigitalThe Work Ahead in Utilities: Powering a Sustainable Future with Digital
The Work Ahead in Utilities: Powering a Sustainable Future with Digital
 
AI in Media & Entertainment: Starting the Journey to Value
AI in Media & Entertainment: Starting the Journey to ValueAI in Media & Entertainment: Starting the Journey to Value
AI in Media & Entertainment: Starting the Journey to Value
 
Operations Workforce Management: A Data-Informed, Digital-First Approach
Operations Workforce Management: A Data-Informed, Digital-First ApproachOperations Workforce Management: A Data-Informed, Digital-First Approach
Operations Workforce Management: A Data-Informed, Digital-First Approach
 
Five Priorities for Quality Engineering When Taking Banking to the Cloud
Five Priorities for Quality Engineering When Taking Banking to the CloudFive Priorities for Quality Engineering When Taking Banking to the Cloud
Five Priorities for Quality Engineering When Taking Banking to the Cloud
 
Getting Ahead With AI: How APAC Companies Replicate Success by Remaining Focused
Getting Ahead With AI: How APAC Companies Replicate Success by Remaining FocusedGetting Ahead With AI: How APAC Companies Replicate Success by Remaining Focused
Getting Ahead With AI: How APAC Companies Replicate Success by Remaining Focused
 
Crafting the Utility of the Future
Crafting the Utility of the FutureCrafting the Utility of the Future
Crafting the Utility of the Future
 
Utilities Can Ramp Up CX with a Customer Data Platform
Utilities Can Ramp Up CX with a Customer Data PlatformUtilities Can Ramp Up CX with a Customer Data Platform
Utilities Can Ramp Up CX with a Customer Data Platform
 
The Work Ahead in Intelligent Automation: Coping with Complexity in a Post-Pa...
The Work Ahead in Intelligent Automation: Coping with Complexity in a Post-Pa...The Work Ahead in Intelligent Automation: Coping with Complexity in a Post-Pa...
The Work Ahead in Intelligent Automation: Coping with Complexity in a Post-Pa...
 

Adopting the Right Software Test Maturity Assessment Model

  • 1. Adopting the Right Software Test Maturity Assessment Model To deliver world-class quality outcomes relevant to their business objectives, IT organizations need to choose wisely between industry standard and advisory testing assessment approaches. Executive Summary Over the past few years, we have conducted a steady stream of enterprise conversations regarding test maturity assessments. The key driver: IT executives realize the growing critical- ity of software testing within the overall software development ecosystem. Software develop- ment complexity has grown manifold times, compounded by an expansion in the scope, size and coverage of technology. This has, in turn, led to an increasing complexity in the testing lifecycle. The process of applications testing is continuously evolving (at its core) to align with changes in the technology landscape. Moreover, IT organizations are under constant pressure to control costs and justify their invest- ments. Therefore, it is imperative to have pre- dictable processes, deploy skilled resources and leverage productivity tools while improving quality, reducing costs and accelerating time- to-market. More often than not, enterprises are unable to balance the two sides of the equation, due to the constant struggle of marrying both objectives. One way of getting around this is to have an independent body assess IT process maturity. The outcome of such maturity assess- ments has played a vital role in shaping the objectives of test organizations. Findings from such assessments have helped test organizations evolve from merely focusing on defect identifica- tion within the engineering lifecycle to offering a set of value-enabling processes to advance the development ecosystem. However, with multiple assessment models made available today, including industry- and service provider-specific models, organizations are challenged to identify the assessment model pertinent to their needs. This white paper demys- tifies the various available assessment models and presents guidelines to choose the best-fit model, one relevant to a given business. Choosing a Test Maturity Assessment Model Industry gurus have forever debated the virtues and vices of standard and advisory models. The discussion typically pivots around whether to use a globally recognized industry-standard model or a proprietary (or assessment) model for multiple global and multinational enterprises. The typical objective of any test maturity assessment is to identify the areas of inefficien- cy to reduce costs, increase quality and improve time-to-market. Since the late 1970s, when testing cognizant 20-20 insights | june 2014 • Cognizant 20-20 Insights
  • 2. 2 became an independent profession, various orga- nizations such as ANSI, ISO, IEEE, SEI and the TMMi Foundation have published frameworks and standards with the aim of standardizing and streamlining application testing practices. Along with the best practice models, these industry bodies also developed frameworks to certify and benchmark the level of maturity regarding the adoption and implementation of certain industry best practices. Among these, TMMi is the only organization that has adopted a framework- based approach; others provide prescriptive guidelines. For the purpose of easy reference, this paper will use TMMi as the industry standard assessment model. Over time, various service organizations have extracted what they have believed to be the best practices from guidelines and frameworks such as those proposed by ISO, IEEE, SEI and TMMi to develop their own variants. Service organizations have applied their years of experience to further develop and refine their frameworks. As a result, multiple models exist that enable test organizations to assess their current state efficiencies and effectiveness, understand the gaps and define a transforma- tional roadmap, all while benchmarking the test organization against its peers. In this paper, such models are referred to as advisory assessment models. Test Assessment Models and Their Coverage All organizations have their test delivery processes that run at some level of maturity, including those perceived to be at lower levels. Relative to testing, organizations with low levels of maturity are likely to have informal and undoc- umented processes. When these testing teams interact with other teams working on upstream and downstream activities, there is a chance of methodological conflict. This increases the cost of quality and injects inefficiency into the delivery ecosystem. These problems compound if the organization scales up and has multiple test delivery teams. A test maturity assessment typically supports by performing the following tasks: • Analyze the current state of processes. • Develop the target state, based on assessment objectives, typically aligned to an industry ideal or an internal/external benchmark. • Develop a set of recommendations on ways to achieve the target state. Broadly, the frameworks cover the following aspects. Each of these four areas can be split into multiple focus areas or aggregated into two or three focus areas based on the assessment context: • Organization and operating model: Focuses on the structure of the test organization and operating model. • Test lifecycle: Focuses on test delivery processes such as estimation, management, defect prevention, functional testing, regression and UAT. • Support functions and PMO: Focuses on touch points within the software delivery lifecycle (SDLC), such as change, configuration, build and release management, and on other support functions such as knowledge and project risk management. • Tools and infrastructure: Focuses on test management and execution tools including execution environment and nonfunctional testing. Assessment Models and Comparison TMMi: The Industry Standard Assessment Model TMMi is best suited to enterprises with a full- fledged IT organization and large volumes of in-house software development and testing. To be TMMi certified, organizations must spend extensive time preparing for audits. Before an external audit can be scheduled, they must be able to demonstrate processes implemented and executed at the planned TMMi level for at least two full software releases or delivery cycles. The cer- tification process is likely to be viewed as system overhead and potentially occupy a significant portion of the IT budget along with staff effort, taking away from the core business activities. Additionally, there are very few certified lead TMMi assessors, which could potentially lead to high audit costs. Furthermore, TMMi is a staged model, in which all process areas at every stage need to conform to the defined stage criteria. It requires compliance with all process areas (or acceptable alternatives) of lower stages before the next stage capability cognizant 20-20 insights Relative to testing, organizations with low levels of maturity are likely to have informal and undocumented processes.
  • 3. can be assessed. As a result, in many IT organiza- tions TMMi compliance can be restrictive. Though this might seem discouraging at first glance, a TMMi assessment has distinct advantages. It was built using extensive industry data and provides an excellent process library and a standard book of knowledge. The TMMi assessment provides a formal benchmark of an organization’s test process maturity against a globally accepted model. A TMMi rating increases the visibility and acceptance of the test group and its practices. For organizations that have in-house development and testing, TMMi certification is useful in reassuring their end businesses that they are following industry standard best practices and processes. Additionally, it streamlines the process of IT integration with third-party vendors as the guidelines and processes (standard book of knowledge) that need to be adhered to by the vendors are an industry standard. Advisory Assessment Models Advisory models are best suited to organizations on the lookout for flexibility in assessing and mapping their quality journeys. They could be a part of small-scale organizations or multination- al companies with varying degrees of in-house software development and testing. The biggest advantage with these models is they are based on the company’s operating model, thereby helping it organize in a way that enables an efficient test function. Focus areas of these frameworks can also vary based on the organization’s objectives and scope. Most advisory models are continuous models, thereby enabling organizations to build capability in specific process areas that are of primary importance. Furthermore, most advisory models assess not only compliance with the model, but also the effectiveness of compliance. For instance, our best in class (BIC) testing framework maps the metrics to each of its maturity levels. (For more information on BIC, please read our white paper “Software Quality Transformation.”)The best-in-class model provides a quantitative measure to link the maturity of testing process areas to business outcomes. Organizations benefit from these types of assessments since they leverage the assessor’s delivery experience to ensure efficient and effective delivery. However, it must be noted that the models in question are vendor-specific. The models create a dependency on one vendor such that if a vendor has conducted an assessment another vendor will not implement the recommendations. This is primarily because there is a level of subjectivity in the recommendations and roadmaps that breeds vendor bias. Therefore, organizations need to be sure about their trusted vendor before starting on a quality journey using advisory assessment models. A TMMi rating increases the visibility and acceptance of the test group and its practices. Quick Take During the implementation of our BIC test assessment framework for a gaming company, the client’s focus was on early defect identifica- tion to contain more than 90% of defects to the unit testing phase. We treated the process area of unit testing not as a touch point to testing but as a core test delivery process. As a result, the implemented framework was more relevant and effective compared with a stock standard process implementation.Alongsimilarlines,weintroduced a focus on support functions and touch points, tool evaluation, automation and relevant solution accelerators to ensure an outcome relevant to the client’s objective of early defect containment. To summarize, our recommendations were centered on transforming the testing team into a quality engineering team for exhaustive testing of Java APIs using white box techniques as well as testing the end-to-end product for business readiness. Gaming the Test Assessment Process 3cognizant 20-20 insights
  • 4. cognizant 20-20 insights 4 Looking Ahead The myth of process implementation is that it caters to the lowest common denominator. In reality, an effective matu- rity assessment custom builds an implementation roadmap and reduces waste. Enterprises should consider the following key questions to gauge their current state and understand what they need from a test assess- ment perspective so that they can perform better: • What are the business drivers and objectives? • What is the kind of application being tested? • Is IT consolidated or distributed? By tackling these questions, the decision on a suitable assessment model is driven by both strategic and operational considerations. However, it is imperative that the recommenda- tions are aligned to long-term goals and molded around the core operating model. Doing so enables organizations to be assessed either by a vendor-specific model or an industry standard model. Conversely, for enterprises that want an assessment for strategic purposes, answers to the following questions will come in handy: • What is the purpose and the expected outcome of the test maturity assessment? • What is the relevance of the organization’s IT products in the market, versus its competi- tion’s? • What is the long-term plan for the testing services? A strategic assessment can be leveraged as a marketing tool for an enterprise’s internal testing services, or to build confidence among its business users. Unless the company has worked with a specific vendor, or intends to transition testing to a specific vendor, an industry standard model has definitive selling value. In conclusion, there is no single-fit right model. An informed decision by IT stakeholders, in discussion with the vendor, is the only way for organizations to challenge the status quo. There is no single- fit right model. An informed decision by IT stakeholders, in discussion with the vendor, is the only way for organizations to challenge the status quo. About the Authors Shanmuga Karthikeyan is a Director within Cognizant’s Process and Quality Consulting Practice. Karthik has over 19 years of experience in IT business development and delivery management with a core knowledge of quality assurance (QA) in the banking and financial services and insurance domains. He consults with Fortune 500 companies on transforming their QA functions into world- class quality organizations and has assessed, designed, implemented and managed testing centers of excellence for multiple large financial services organizations. Karthik can be reached at Shanmuga.Karthikeyan@cognizant.com. Srikanth Rao is an Associate Director within Cognizant’s Process and Quality Consulting Practice in the Asia Pacific region. He has over 14 years of experience in the areas of banking, technology and process, and quality engineering and assurance. Srikanth consults with companies on enterprise-wide process implementation, change management, training and appraisals, with the help of industry- best models, standards and frameworks. He has also worked in Europe with a large financial services organization on its multicountry core banking implementation program. Srikanth can be reached at Srikanth.Rao2@cognizant.com.
  • 5. About Cognizant Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process out- sourcing services, dedicated to helping the world’s leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. With over 75 development and delivery centers worldwide and approximately 178,600 employees as of March 31, 2014, Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world. Visit us online at www.cognizant.com or follow us on Twitter: Cognizant. World Headquarters 500 Frank W. Burr Blvd. Teaneck, NJ 07666 USA Phone: +1 201 801 0233 Fax: +1 201 801 0243 Toll Free: +1 888 937 3277 Email: inquiry@cognizant.com European Headquarters 1 Kingdom Street Paddington Central London W2 6BD Phone: +44 (0) 20 7297 7600 Fax: +44 (0) 20 7121 0102 Email: infouk@cognizant.com India Operations Headquarters #5/535, Old Mahabalipuram Road Okkiyam Pettai, Thoraipakkam Chennai, 600 096 India Phone: +91 (0) 44 4209 6000 Fax: +91 (0) 44 4209 6060 Email: inquiryindia@cognizant.com ­­© Copyright 2014, Cognizant. All rights reserved. No part of this document may be reproduced, stored in a retrieval system, transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the express written permission from Cognizant. The information contained herein is subject to change without notice. All other trademarks mentioned herein are the property of their respective owners.