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Category Archives: Testing
How To: Anonymise swap trade data for your project team
I was recently asked for some “production like” OTC swaps coming from Calypso so that a development partner could test their proof of concept project. I needed to provide trade data as well as referential data for both product and … Continue reading
Posted in FpML, ISDA, Test Data, Testing
Tagged anonymisation, fpml, hashing, interest rate swaps, masking, VBA
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Automated FpML Message Testing with JMeter
One of the ingredients of a successful messaging project is strong testing. However, the fluid nature of messaging projects means iteration after iteration of system releases. This presents a challenge for the testers and they need to run the tests … Continue reading
Posted in Automation, FpML, JMeter, Orchestration, Regression, Smoke Testing, STP, Test Automation, Testing, Trade Flow, Uncategorized
Tagged BeanShell, Black Box, fpml, HTTP Header Manager, JDBC, JMeter, Messaging Systems, Orchestration, Response Assertion
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Three Amigos, One Cucumber and Where to Stick it in Jenkins
This article is aimed at the stalwart of software development, the Test Manager! The scenario: your boss has been on a jolly and has heard the term Cucumber whilst enjoying the free bar! Apparently, using a cucumber has helped his … Continue reading
Posted in Test Automation, Testing
Tagged Continuous Deployment, Continuous Integration, Cucumber, Gherkin, Jenkins, Test Automation, Virtualisation
1 Comment
Continuous Integration and Deployment with Docker, Jenkins and Selenium
Key Technologies and Tools: Jenkins, Docker, Docker-Hub, Git, Git-Hub, Amazon Web Services, Saucelabs, Blazemeter, Selenium, Appium, Webdriver, Test Automation, Agile, Waterfall, Rapid Development and Test, Business Driven Testing, Data Driven Testing, JUNIT, Test Suites , Java, Maven This article is … Continue reading
Posted in Continuous Integration, Jenkins, Test Automation, Virtualisation
Tagged Continuous Deployment, Continuous Integration, Docker, Jenkins, Selenium
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Success with Matching Engines – what does that look like?
Implementing a Matching Engine application presents a host of challenges. If you’re responsible for such a project then you need to give serious consideration to a number of critical system components. Here are just a few of the questions … Continue reading
Posted in Business Rules, Messaging, Models, Project Management, Regression, Risk Management, Routing Rules, Rule Engines, Test Automation, Testing
Tagged automated, complexity, data set, downstream, engine, false positives, freeze, implementation, legacy design, matching, overlap, overlapping, problem space, regression, release, requirements, result set, rework, rule management, rules, slice and dice
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