Welcome!

Containers Expo Blog Authors: Liz McMillan, Pat Romanski, Elizabeth White, Yeshim Deniz, Zakia Bouachraoui

Related Topics: Containers Expo Blog, Java IoT, Linux Containers, @CloudExpo, Cloud Security, @DXWorldExpo

Containers Expo Blog: Blog Feed Post

[Case Study] API Testing and Service Virtualization Reduce Testing Time 20x

Accelerating Testing in Parallel and Agile Development Environments

Ignis Asset Management is a global asset management company, headquartered in London, with over $100 billion (USD) in assets under management. Ignis recently embarked on a large project aimed at outsourcing the back office as well as implementing the architecture and applications required to support the outsourcing model.

IgnisServiceVirtualizationAPITesting"To meet the business's needs, a number of projects have to be developed and delivered in parallel," explained Aaron Martin, Programme Test Manager at Ignis. "However, we didn't have the resources, budget, and management capacity required to create and maintain multiple test environments internally. This limited test environment access impeded our ability to validate each application under test's (AUT) integration with third-party architectures. Moreover, our third-party providers also had limited test environment access, which restricted the time and scope of their joint integration testing."

At the same time, the company was transitioning to an agile development methodology. To support this initiative, they needed to adopt an automated testing solution to provide faster feedback after each build.

It soon became apparent that the existing testing process had to be optimized in order to meet these new demands. Executing the core test plan required 10 man-days. This process involved manually entering transactions in the originating application, which wasn't the primary AUT. Moreover, they were also manually building simple stubs to simulate interactions with third-party components that were not integrated. To enable complete testing to occur in more agile, parallel development-without requiring additional test environments to be built and maintained- they needed ways to:

  • Enable applications (or parts of the target architecture) to be tested against the Ignis architecture before integration into the complete Ignis system.
  • More efficiently simulate the AUT's interactions with third-party systems not yet integrated into the Ignis system.

Parasoft API Testing and Service Virtualization Enables Ignis to Begin Extensive Automated Testing Before Integration

Ignis implemented Parasoft's API Testing and Service Virtualization solutions to establish a test automation framework that not only addressed the challenges outlined above, but also helped extend test automation across the SDLC.

Ignis's initial implementation of the API Testing solution focused on automating the generation of order management traffic at the API level. The AUT was the message architecture, which interfaces with third-party components-both existing services provided by business partners as well as services being implemented in parallel by outsourcing providers. From the application initiating the order, live trade scenarios were used to form their basic test transactions. Using SOAtest (Parasoft's API Testing tool), they were able to run the full transaction test plan, generating new instances of the message from a data source. This data-driven message building took advantage of features such as SOAtest's ability to update attributes to create unique IDs, set dates, and perform calculations.

In parallel with the functional test automation, Parasoft Virtualize (Parasoft's Service Virtualization tool) was implemented to simulate the expected transaction response messages from third-party components. "First, we rapidly implemented a simple virtual asset that provided a positive response to all generated transactions, enabling us to simulate third-party responses without manually developing and managing stubs," Martin explained. "The virtual assets were then extended to handle more complex response scenarios."

Ignis also implemented automated tests and virtual assets to test outsourced components fully- decoupled from the Ignis environment. They used this to establish a "quality gate" that had to be passed before progressing to the integration phase. Martin remarked, "This was quite useful, since their code quality was poor and repeated testing in our integrated environment would have impacted other deliverables."

Leveraging Supero to Transform a Manual Testing Process into an Automated One

Since Ignis test resources were not experienced in test automation or service virtualization, they enlisted the help of an automation developer to build out their test requirements in the Parasoft ecosystem. Ignis engaged Supero Solutions to manage the implementation and ongoing test requirements since they had extensive experience implementing and using Parasoft. Ignis has now replaced all the manual test resources in one location with Supero resources.

Supero's expertise has been critical for building automated tests within the scrum teams, which is a key factor in the success of the Ignis agile initiative. "Using Supero allows us to flex our resources to meet project requirements while still maintaining a consistent approach," Martin said.

Once the implementation proceeded, the value of having a Parasoft expert lay the proper foundation became clear. From this starting point, any resource can now run test plans via Parasoft and enable virtual assets in the test environment with a very minimal learning curve.

Results: A 20x Reduction in Testing Time

"With Parasoft's integrated functional test automation and service virtualization, we were able to reduce the execution and verification time for our transaction regression test plan from 10 days to a half day," shared Martin. This testing is not only automated, but also quite extensive. For example, to test the Ignis system's integration with one business partner's trading system, Ignis's fully automated regression testing now covers 300 test scenarios in a near UAT-level approach-with 12,600 validation checkpoints per test run.

"Previous automation implementations focused on automating testing at the UI level-with varying levels of success," Martin continued. "We determined that we really needed to generate transaction scenarios and traffic at the API level instead. With Parasoft, we can focus on the core test requirements and get more value from our investment in automation."

Beyond addressing the original challenges posed by the project, the solution has also enabled automated testing to occur all the way from the component/unit level to system integration. To achieve this impressive level of automation, testers fostered close relationships with the development team. Now, testers' role within the organization is elevated, and collaboration between development and testing has reached an all-time high.

More Stories By Cynthia Dunlop

Cynthia Dunlop, Lead Content Strategist/Writer at Tricentis, writes about software testing and the SDLC—specializing in continuous testing, functional/API testing, DevOps, Agile, and service virtualization. She has written articles for publications including SD Times, Stickyminds, InfoQ, ComputerWorld, IEEE Computer, and Dr. Dobb's Journal. She also co-authored and ghostwritten several books on software development and testing for Wiley and Wiley-IEEE Press. Dunlop holds a BA from UCLA and an MA from Washington State University.

IoT & Smart Cities Stories
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
In his keynote at 19th Cloud Expo, Sheng Liang, co-founder and CEO of Rancher Labs, discussed the technological advances and new business opportunities created by the rapid adoption of containers. With the success of Amazon Web Services (AWS) and various open source technologies used to build private clouds, cloud computing has become an essential component of IT strategy. However, users continue to face challenges in implementing clouds, as older technologies evolve and newer ones like Docker c...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...