Our pre-built models contain the Temenos workflows and test cases are being generated automatically and the test case design has been deskilled enabling non-technical teams to perform the testing.

How?

By automating the creation of test cases from the model of the application (applications, versions, enquiries, associations) and by using advanced algorithms to select the best combinations to take for risk-based coverage and finding of defects.

With model-driven testing, you achieve maximum coverage with less effort and reduce the time to market. This focus on the analytical rather than the mechanical part of testing, makes our approach unique. Additionally, Validata platform provides key capabilities to help your teams focus testing on what matters to your users and your business.

For example, our smart and intelligent adapters are learning all configuration changes of the system under test in real-time, enabling teams to increase the velocity of testing.

This means that we can automate more things and do more testing, as we generate test cases directly from the model and the production data, and automatically re-create tests.

The benefit of having this unique, intelligent model- driven approach for automation is that we can look at the underlying objects and within the same model, we can test if the calculations have been done correctly at the back and if the user interface has been rendered correctly in the front. All in real-time!

We enable functional and performance testing as well as usability testing all in the same engine, which also has the ability to call out APIs and other testing systems without having to switch apps. By reusing the functional test cases for performance testing, we reduce the cost of maintenance significantly.

Our testing is not intrusive which is very important to banks.

How we are different?

Traditional approaches and self-made automation frameworks are fundamentally about testing the low-level code, not the user experience, and don’t scale efficiently with high coverage. They only cover as much as 20% of your software stack. That’s it. This means that when you use them in your testing projects, testing becomes more of a coding challenge rather than a testing challenge.

The more time you spend on coding, the less time you spend to uncover defects that impact user experience.

Our key differentiators are:

• Continuous feedback by injecting data from every domain such as applications, enquiries, menus, activity logs and event data to provide insights and deep analytics on test coverage and incident management.
• Predictive, Actionable and Adaptive intelligence:
  Prioritise real user journeys to delight customers: identify which user journeys are most important and prioritise them automatically. Validata enables you to know exactly how much of your system you’ve tested. Generate Test cases automatically and compare coverage models.
• Integrated with production testing is done continuously and unattended one-click deployments enables Continuous Delivery and supports DevOps transformation
• Enables testing with dynamic data
• Data-as-a-Service (Daas): DaaS uniquely addresses the issues involved in a core banking upgrade, DevOps or QA transformation project through:
  1. Data masking: A robust data masking functionality to ensure regulatory compliance with GDPR and other regulations, and protection against data breaches in both test and production environments, enabling developers and testers to access and use secure data. After masking, the data looks and acts just like real production data, but all of the sensitive information- and exposure risk- has been removed. In this way, you accelerate application testing while ensuring the highest levels of data privacy and security, effectively protecting your sensitive data without compromising speed and agility.
  2. Data subsetting: allows you to quickly provide teams with more manageable sets of consistent, referentially intact data for testing.
  3. Test data virtualization: data virtualization allows IT to automatically deliver virtual copies of production data for non-production use cases. Virtual data can be accessed at any time for testing, can be bookmarked and retrieved to meet audit requests, and rewound to reconcile errors.
  4. One of the most important benefits is the reduction of storage space required, which also means significant reduction in costs to setup and maintain the test environments and infrastructure
• Creation and maintenance of test environments: production-like test environments to enable teams to focus on testing what matters rather than fixing environmental issues
• Synthetic test data generation: rapidly generate large sets of synthetic test data to eliminate the risk of data breach by creating production-like data but without the sensitive content. We enable banks to eliminate the data wait with on demand data access and significantly enhance Testing efficiency. (60% of a tester’s time is spent on searching for data)
• Service virtualization: teams can use virtual services instead of production services, enabling frequent and comprehensive testing even when key components are missing from your system architecture. complex applications can go through integration testing much earlier, removing any risks that would otherwise delay production and time-to-market of an application.
• Post deployment testing
• Big Data testing (ETL): This data arrives in a variety of formats and is usually unstructured. By using ML and automated ETL testing, the ‘central nervous system’ integrates and analyses this data and produces deep insights to inform business and software development decision-making.
• Pre-built Content Library: Our pre-built Library of Test Assets will allow us to jump start our clients’ implementation by having up to 75% of the core Test Cases and Test Steps available immediately as testing begins. The reusability of the automated library offers real value.
• Build for change: Our ‘build for change’ technology is a central component of any testing process improvement strategy that increases business agility, flexibility and efficiency. It provides the single ‘brain’ built into your enterprise applications to gain insights in real-time and at scale across the entire customer journey.

All these unique capabilities and patent-pending technology, have resulted in Validata being named as ‘Specialist QA vendor’ by QA-Financial at the 2018 Global Software and App Awards