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System Wide Information Management (SWIM)

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Presentation on theme: "System Wide Information Management (SWIM)"— Presentation transcript:

1 System Wide Information Management (SWIM)
Service-Oriented Architecture (SOA) Testing Paul gives a quick introduction . SWIM T&E Lead Software developer since 1978 First Web Service production experience at the Wall Street Journal in 2000 Not Net centric but business centric

2 Agenda Traditional Testing Migration to SOA Conceptual SOA
Traditional vs. SOA Testing SOA Testing Solutions Anticipated Challenges

3 Characteristics of Traditional Testing
In most cases, non-agile but well established proven process Single-system focused: not dependant on other systems within your business domain Tightly coupled Well-defined interfaces specified in the Interface Control Document (ICD) and Initial Requirements Document (IRD) Limited security constraints, if any Test program is based on the common Verification & Validation (V&V) test model Test team only needs to be technically savvy on the system under test, and not the entire business domain Test Tool Strategy is needed because systems are usually furnished with custom tools Test requirements only apply to the system/subsystem and interfaces

4 Stand Alone Server Architecture
Applications share data and functions on an isolated single machine, no loose coupling Each application communicates with others in a point-to-point, one off interface design Difficult to upgrade or replace The wonderful days of the mainframe.

5 Client Server Architecture
Server applications share data and functions on a single machine, no loose coupling Each server based application communicates with others in a point-to-point, one-off interface design Supports multiple users Single server with multiple users and perhaps multiple applications

6 Distributed Server Architecture
Server applications share data and functions across multiple server machines, possible loose coupling Each server based application communicates with others in a point-to-point, intranet, or internet design Supports multiple users and supplies composite data

7 Web Services Server Architecture
Server applications share data and functions across multiple server machines, possible loose coupling External data and/or function provided externally Each server based application communicates with others in a point-to-point, intranet, or internet design Supports multiple users, supplies composite data

8 SOA Data collections and function hosted by internal and external servers loosely coupled Collections often communicate using a single interface Reuse and upgrades are less challenging Multiple remote users

9 Software Complexity Timeline
1980 2000 2010 1990 Test Complexity Year In the early days software was specific with simple single intent Over the years complexity has increased by magnitudes New tools and software approaches are required to address this

10 The Concept of SOA From Oasis (www.oasis-open.org),
SOA is defined as – “An architectural style whose goal is to achieve loose coupling among interacting software agents/services.” SOA enables business flexibility in an interoperable, technology-agnostic manner. It consists of a composite set of business-aligned services that support a flexible and dynamically re-configurable end-to-end business processes realization using interface-based service description. SOA is a commonly chosen implementation architecture process for today's largely distributed businesses or systems. The large loose service coupling of SOA architecture delivers a truly scalable upgradeable solution

11 Some Benefits of SOA are:
Reducing integration expense: uses open standards, not expensive proprietary middleware Increasing asset reuse: legacy systems can be easily wrapped as services and exposed Increasing business agility: services and systems may be rapidly developed, tested, and delivered Reduction of business risk Loosely coupled: a modified service does not affect other service or client Interoperable: platform-neutral Facilitates faster upgrade deployments

12 Components that make up SOA
Service provider Service consumer Service registry Governance Lead Administrator Provider – Builds, owns, and maintains the service throughout the lifecycle Consumer – Obtains data from using the provider service Registry – Stores service artifacts for use by consumers Governance – Defines policies for service life cycle Administrator – Coordinates initial deployment, upgrades, and deprecation SOA services are intended to be reusable and can be shared within the entire business domain

13 SOA Characteristics SOA transport protocols:
Hypertext Transfer Protocol (HTTP) HTTP Secure (HTTPS) Java Message Service (JMS) Messaging: Extensible Markup Language (XML) Web Services (WS)-Addressing SOAP Interface: Web Service Description Language (WSDL) Quality of Service (QoS): Security Reliable messaging AuthN / AuthZ Policies Etc. Governance: National Airspace System (NAS) Service Registry/Repository (NSRR)

14 Common SOA Testing Challenges
No visibility below the User Interface to isolate errors Data driven business logic is service embedded Inaccessible external services Inability to test components that do not have an available User Interface Need for continuous validation of application functionality Inability to test composite solutions due to limited access or availability of dependent services and data needed for testing Inadequate or incomplete testing, resulting in costly problem identification and debugging once released into production Component life cycles are independent and require some continuous validation mechanism to verify functionality High cost for test

15 Common SOA Testing Challenges (cont.)
Poor collaboration between development and Quality Assurance (QA), with minimal to no reuse of test assets between unit, functional, regression and performance testing Security testing needs to intensify as threat grows Test team structure will require alignment to business domains (processes) and not to technologies to ensure that agility and speed on SOA testing do not compromise overall service quality Organizations will have to develop and maintain “Test Assets” for key services to guarantee performance and security throughout the entire test coverage cycles

16 Traditional Testing vs. SOA Testing
Similarities: Both Traditional and SOA methodologies can utilize the success proven V-Model The V-Model enforces testing discipline throughout the project life cycle Both can utilize the top down or bottom up test approach

17 Traditional Testing vs. SOA Testing
Differences: Traditional SOA Limited scope (system, subsystem, interfaces) Business-wide, based on client size or subscriptions Black Box testing White Box testing Non-agile: follows a rigid process Flexible, parallel development is a common industry practice Expensive: utilizing proprietary middleware Less expensive: incorporating open source products and reusable services Testing within the system boundary Testing involve elements inside and outside of system boundary A/B level requirement testing Service-component-level testing Commonly available test tools Customizable, environmentally adaptable SOA based test tools are needed Platform specific Universal platform Traditional systems troubleshooting is straight forward and failures are easy to identify SOA Troubleshooting is more complex: end-to-end testing involving multiple systems

18 Traditional Testing vs. SOA Testing
Differences continued: Traditional SOA Only requirements and regulations need to be validated and verified Governance is involved and industry standards apply (Quality of Availability (QoA) on performance, regulatory policies, business policies, audit policies, and infrastructure policies) Small scale security testing, usually reserved at the end of test schedule SOA security testing process requires continuous validation throughout the project cycle Test data are easily to control and configure. Test data generated and modified at different systems, therefore hard to control (data aggregation) Creating a fall-back backup configuration for the traditional test bed is simple Creating a fall-back configuration for entire SOA type distribution system is complex especially when open source products are involved (frequent version updates) Larger portion of testing occurs after the development phase of the project SOA testing occurs from the beginning alongside the project business and requirements development Regression testing occurs only when major functional requirement changes occur or when bugs are fixed (intensive but less frequent) Regression testing is needed when software updates occurs and only affects the updated service units – more frequent, but lightly scaled

19 SOA Testing Solutions Service Level Testing (SLT) emphasis
Security Testing and the project lifecycle SOA and NAS experts leverage Test Tool Strategy implementation

20 SLT Emphasis SLT Emphasis Formal Code Peer reviews
Test emphasis at the SLT level over Governance testing, service-component level testing, integration-level testing, process/orchestration-level testing, system-level testing, and Security testing Formal Code Peer reviews Ensures standards and compliance are met Identifies potential interoperability, performance, and security defects and weaknesses Continuous Functional, Performance and Security tests against the Services Requires the use of test tools and/or test harnesses Quality Entrance and Exit Criteria for SLT Ensures service usability

21 Security Testing and the Project Lifecycle
Security requirements should be established Security risk assessments should be performed during the technical design phases Technical deliverables should be validated in accordance with the groups security standards Security tests should be performed at the service level and not just the delivered integrated system level Security audits should be performed and reported on periodically

22 SOA and NAS Experts Leverage
Subject Matter Experts / Domain Experts NAS expertise SOA domain expertise Software development expertise Certified Resources Certified individuals Certified tools Software Support Commercial Off-The-Shelf (COTS) support contracts Open Source community and committers Knowledge Sharing Content repositories (SWIM Wiki, Knowledge Services Network (KSN)) Working groups

23 Test Tool Strategy Implementation
SOA Test Tools iTKO LISA, soapUI XML Tools Altova XMLSpy, XML Copy Editor Integrated Development Environments (IDEs) FUSE IDE for Camel, Eclipse IDE, NetBeans IDE, IntelliJ IDEA Web Consoles and Browsers Web consoles for ActiveMQ, Camel, Oracle AS, Glassfish, etc. Fuse HQ, Lightweight Directory Access Protocol (LDAP) browsers, management and monitoring tools

24 Return On Investment

25 Business and Financial Metrics
Efficiencies associated with service reuse Integration time savings Related opportunity costs Cost savings/avoidance Reduction in project and maintenance cost SOA ROI ($) = Cost Savings/Efficiencies Achieved - All SOA-Related Investments SOA ROI (%) = SOA ROI ($) All SOA-Related Investments Source: Leo Shuster, who is responsible for National City Bank's SOA

26 SOA Performance Metrics
Overall ROI can be projected by per service ROI’s Overall ROI can be projected by per service revenue Monitor service growth rate/reuse to ensure reuse maximization Design to deploy business agility Mean time to service change agility measurement Reliability mean time to failure Service vitality and revenue tracked for 12 months

27 Anticipated Future Challenges
Services Metadata Employing Governance in regards to managing and providing information on how services interact Level of Security Protection against theft of sensitive data and application infrastructure vulnerabilities Test Coverage Continuous services testing by producers and consumers to ensure expected functionality Scalability Specialized support for persistence, failover, and load balancing XML Message Size Additional bandwidth and resources for parsing/processing Increase in Connections Connection management for server burden relief Shared services hosting to avoid latency from additional hops

28 Conclusion Traditional Testing has its place
Migrate to SOA where appropriate SOA brings benefits such as loose coupling, code/services reuse, and remote users SOA test products are numerous, mature and vary for many different use cases SOA challenges have been identified with many modeled solutions available to pursue

29 Questions and Comments
Questions regarding SWIM and this presentation.

30 Back up Questions regarding SWIM and this presentation. 30

31 Keys to a Successful SOA Solution
Definition of SOA Find Business Partners Aim for Critical Mass Franchise


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