The document presents a case study on optimizing the application integration software development lifecycle (SDLC) at Con-way, led by Principal Enterprise Architect Ram Vittal. It details the constraints faced in the SDLC, the introduction of a pilot project for on-demand inspection planning to address shipment misclassifications, and outlines the benefits of implementing service virtualization, including reduced development time and improved testing accuracy. The pilot project demonstrated significant advantages in system availability and performance testing, ultimately leading to higher developer productivity and cost savings.

1. Con-way Case Study: Optimizing Application
Integration Software Development Lifecycle
Ram Vittal
DOX05S @ramgvittal #CAWorld
Con-way
Principal Enterprise Architect
DevOps

2. Optimizing Application
Integration SDLC
Presented by – Ram Vittal
Principal Enterprise Architect

3. App Integration SDLC History
• 10+ years app development
• 100+ apps in production
• Manual testing results in outages
• Test Automation tool selection
• Test Automation Pilot
• Recognizing SDLC Constraints
• Service Virtualization Pilot

4. Agenda
• About Con-way
• IT App Overview
• IT App Integration Overview
• App Layers and SDLC
• App Dev/Test Constraints
• Pilot Project Use Case
• Pilot Project Benefits
• Q & A

5. About Con-way

6. About Con-way

7. Freight IT App Overview

8. Freight IT App Integration Overview
Rules and
constraints
TIBCO business
events (BE)
Event cloud
TIBCO
BE Views

9. Application Layers

10. SDLC – Dev/Test

11. App Dev/Test Constraints
• Time for test automation
• System availability
• Test data management
• Limited capacity
• High complexity

12. Pilot Project Use Case
• On-demand inspection planning (ODIP)
• Shippers often incorrectly classify shipments resulting in
revenue loss for Con-way.
• ODIP solution will predict which shipments are most likely to
be misclassified and yield additional revenue.

13. Classifying Freight
Freight classification
• 18 freight classes
• Weight
• Length
• Height
• Density
• Ease of handling
• Value
• Liability from theft,
damage, break-ability
or spoilage.
Freight class 50
Freight class 500

14. Incorrect Freight Classification
Classified as 50
Sample rate = $47.98
20 CWT x 47.98 = 959.60
Should be 500
Sample rate = $409.32
20 CWT x 409.32 = 8186.40
2000 lb. Shipment
20 CWT (hundredweight)
7226.80

15. ODIP and System Dependencies
ODIP
CIS LOC
Rating SCOSMART
CORR
Billing
Shipment
VS
SCO VS
Shipments
SHM EQP
Shipment
VS
Linehaul
VS
Model X Model Y Model Z
Pkup
rqst
Pickup VS
CIS
SHM

16. Shipment
Java Service
Shipment
inspection
Java service
FBES
CORR
SMART
SCO
Shipment
canonical
service
Shipment
event
publisher
Navigator
Mobile
Shipment
event VS
Shipment
VS
Canonical
Shipment
Java VS
ODIP System Under Test ODIP System Dependencies

18. ODIP SDLC – Shifting Left

19. CA Application Test for ODIP
• Unit testing TIBCO and Java Services
• Integ. testing TIBCO BE w/ virtual services
• Perf. testing TIBCO BE w/ virtual services
• Perf. testing critical components w/ live sys
• Virtual services uses custom framework
• Setup scenarios on-demand/state mgmt.

20. Shipment Event Virtual Service

21. Con-way CA Service Virtualization Manager

22. Con-way CA Service Virtualization Manager

23. ODIP Functional Test with VS

24. ODIP Performance Test with VS

25. Benefits
 Saved two months of development/testing
 Reduced complexity for development/testing
 Identifying and fixing bugs became easier
 Provided high-availability for constrained services
 Achieved component level performance testing
 Eliminated capacity constraints for performance testing
 Identified performance issues earlier in SDLC
 Repeated performance test several times
 Reusable virtual services for other projects

26. ODIP Pilot Project Scorecard
Metric Pre Post Benefits
Service Virtualization
Integration test system availability Low High • Direct dependencies are virtualized provided
very high system uptime
• Test data scenarios were setup in spreadsheets
and Oracle DB improving coverage and
accuracy.
Integration test data coverage and accuracy Low High
Integration Testing
Scenarios validated during development Low High • “Shift left” of testing
• Better code quality/lower bugs
• Increased developer productivity
• Released with confidence
Phase in which all systems get tested SIT Development
Load and Performance Testing
Throughput achieved 100 bills/hour 50,000 bills/hour • Performance issues identified during
development phase
• Cost savings in resolving issues identified
earlier in cycle
• Ability to test through various load scenarios
• Ability to test performance at a component level
Number of cycles executed 1 10/on-demand
Number of issues identified Small Large
SDLC phase in which L&P testing done Post SIT Development

27. Service
Virtualization
CA Technologies
DevOps
Simulation
Experience
CA Technologies
Related Technologies
Parallel
Application
Development
CA Technologies
DevOps
Assessment
CA Technologies

28. For More Information
To learn more about DevOps, please visit:
http://bit.ly/1wbjjqX
Insert appropriate screenshot and text overlay
from following “More Info Graphics” slide here;
ensure it links to correct page
DevOps

29. 30
For Informational Purposes Only
This presentation provided at CA World 2014 is intended for information purposes only and does not form any type of warranty.
Content provided in this presentation has not been reviewed for accuracy and is based on information provided by CA Partners
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