Leverage Service Virtualization on Your Roadmap for Success

Leverage Service Virtualization
on Your Roadmap for Success
Kazi Whitfield
DevOps: API Management and Application Development
MUFG Union Bank
Director of Quality Engineering
DO3T23S
#CAWorld

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Abstract
Development and testing tool choices can be
overwhelming. What tools are the right tools? When
to use them? When not? This session will be a
review of how organizations can take on the
challenges of overcoming development and testing
constraints while being able to keep or improve
timelines. Session discusses service virtualization
implementation models, proper success
measurements, challenges addressed and
achievable successes.
Kazi
Whitfield
MUFG Union Bank
Director of Quality
Engineering

Agenda
QA CAPABILITIES & GOALS
DEFINE THE PROBLEM
Q & A
CLEAR ENGAGEMENT MODEL
CHALLENGE AND RESULTS
CA TEST CASE OPTIMIZER USERS
1
2
3
4
5
6

QA Capabilities
 Portal development; metrics analysis
 BUSA intake/fulfillment solutions
 Developing custom testing solutions
 Middleware solutions to integrate
w/vendor products
 Issue coordination & resolution
 Configuration management
 More availability
 Less defects on environments
 Metrics scorecard
 Defect Analysis
 Working early in the SDLC phases
 IMR RCA
 Compliance/ Develop
 Standards/practices
 Process Improvements
 Testing/QA expertise
 Tools evaluation
QA organization addressed development needs to improve it’s project delivery process by improving the quality, lowering the cost and shortening the
timeline of development. The focused services provided results in improved availability of production environments and greater release velocity.
Test
Management
Functional
Testing
Test Data
Management &
Automation
Tools &
Capabilities
Test
Environment
Management
Quality
Assurance
Centralized
Quality
 Functional automation
 Performance testing
 SOA testing
 Utility tools development
 Test Data coordination
 Test Data Bed creation
 AT Support
 SIT testing
 +ve & -ve test scenarios
 Regression testing
 Integration testing
 UAT support
 Test Strategy Definition
 Test Planning
 Risk Based Analysis
 Traceability matrix
 Clarity management
 Reporting/Risk management/
 coordination within stake holders

All These Terms
Disruptive Thinking
A g i l e
Kanban
Continuous Integration
Continuous Delivery
DevOps
Automation
DeliveryTransformation
Configuration Management
Iterative Development
P i p e l i n e
Service Virtualization
A3Process
Time to market
Metrics
Lean Thinking
ProcessFlow
Quality
S h i f t L e f t

Define the Problem
 Constraints of dependent systems needed to move the SDLC
forward
 Increasing Complexity of today’s heterogeneous enterprise
IT architectures
 Lack of Collaboration creates scheduling conflicts and buffers
from development through operations
 Need Complete visibility into what happens in production

Software Lifecycle’s Immune Deficiency

Life in Isolation

Clear Engagement Model
ProjectTeamSVTeam
Request SV services
through GSQO Engagement
DB
Review discovery
documentation submitted
by project
Set up Feasibility Meeting
with Project Team
Feasibility Meeting to
understand SV
requirements, complexity
of requirements and
finalize scope
Create SV sizing and send
to PM
Obtain alignment from QA
& SA to use SV on project
PM Approves SV sizing
Plan for service
virtualization & setup
Deploy services and
communicate setup ready
for validation

Clear Engagement Model
-
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
7,000,000
8,000,000
9,000,000
0
1000000
2000000
3000000
4000000
5000000
6000000
7000000
8000000
9000000
Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Mar-15
2014 Total – $6,961,471
2015 Q1 Total - $7,417,622
Virtual Services Transaction count – Time graph

Challenge #2
 56% of software defects can be traced back to ambiguities in
requirements
 Detecting and resolving production defects is over 40x more
expensive than in requirements
 Industry standard for manual test case design coverage is between
10-20%
 Over-testing of some functions by factors of 40 is not uncommon
 Change requests to existing software requirements can take up to as
much as 60% of the SDLC
 If I make a change I have no idea the effect this will have on up
stream or downstream systems

Results
Requirements 30% improvement
Test Case Creation Time 95% reduction
Functional Coverage 80% improvement
Over Testing 4 times reduction
Change Request 90% reduction in the time spent manually editing existing test cases
Cost Savings per Project 20 to 30% - varies by complexity of the projects
Quality 100% functional test coverage
CA Test Case Optimizer enables testers to create better test cases directly from requirements faster
Requirement Test Cases Design Time % Coverage % Over
Testing
Test Cases Design Time % Coverage % Over
Testing
Waterfall Project 1 14 5:00 16% 0% 17 2:00 100% 0%
Agile Project 1 40 4:00 100% 1029% 8 0:30 100% 0%
Waterfall Project 2 150 5:00 80% 1900% 19 0:50 100% 0%
Agile Project 2 3 4:00 5% 0% 12 0:30 100% 0%
207 18:00 56 3:50
Baseline Agile Designer

Who Would use CA Test Case Optimizer
Business
Users
Business
Analyst
Programmers Testers Outsourcing
Partners
Clearly define a
process as they
think of it
Define the
process, which
will be verified
by the user,
create logic flows
for programmers
and test cases for
testers
Verify the
process with the
Business Analyst
before coding
and Testers with
test cases
Quickly define
functional logic
flows and verify
them with the
Programmer, as
well define the
smallest set of
test cases to
verify the
program
Get stable
requirements
and clearly
defined work
packages, which
result in lower
ongoing costs

Q & A

Recommended Sessions
SESSION # TITLE DATE/TIME
DO4T05S The CA Roadmap for Test Data Management 11/18/2015 at 1:00 pm
DO3T06S
The CA Roadmap for Service Virtualization and the Dev
and Test Portfolio
11/18/2015 at 2:00 pm
DO3T24S
Accelerate DevTest with Microsoft® Azure™ and Service
Virtualization on Demand
11/19/2015 at 3:00 pm

Must See Demos
Test Data
Management
Embrace Test Data
Management
Theater 4
DevOps Sim
DevOps Simulation
Experience
Theater 3
Continuous
App Insight
Automate Tests for
Better Apps
Theater 4
Service
Virtualization
Deliver Better Apps
Faster with SV
Theater 3

Follow On Conversations At…
Smart Bar
Theaters 3 & 4
Tech Talks
Theaters 3 & 4

For More Information
To learn more, please visit:
http://cainc.to/Nv2VOe
CA World ’15

Leverage Service Virtualization on Your Roadmap for Success

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