26 Billion Reasons to Automate Oracle FLEXCUBE Testing
26 Billion Reasons to Automate Oracle FLEXCUBE Testing

Each year, organisations and consumers globally depend on Oracle FLEXCUBE to process an estimated 26 Billion banking transactions [1]. For established banks, FLEXCUBE provides an agile core banking infrastructure, progressively transforming banking components to keep pace with the latest in fintech innovation.

As will be discussed in my next webinar, each migration and update made within core banking must be tested rigorously. Otherwise, financial organisations risk exposing critical banking systems to defects, downtime, and devastating data breaches.

THE CHALLENGE OF TESTING ORACLE FLEXCUBE

Rigorously testing core banking systems can present substantial complexity for the hundreds of banks who rely on custom FLEXCUBE implementations, and who have…


Automate Oracle FLEXCUBE Testing
Automate Oracle FLEXCUBE Testing

Banks globally rely on Oracle FLEXCUBE to provide their agile banking infrastructure, and more today are migrating to FLEXCUBE to retain a competitive edge over young and agile Fintech startups.

FLEXCUBE provides the flexibility to progressively transform componentised core banking systems, while supporting moves to modern cloud infrastructure. It enables established financial players to innovate rapidly, even against the backdrop of historical infrastructure and complex end-to-end processes.

However, every migration and update must be tested rigorously. Otherwise, organisations risk exposing critical banking systems to costly defects, downtime, and security vulnerabilities.

That means rigorously testing migrations to FLEXCUBE, mitigating against the…


USING MODEL-BASED TESTING TO GENERATE RIGOROUS AUTOMATED TESTS
USING MODEL-BASED TESTING TO GENERATE RIGOROUS AUTOMATED TESTS

Despite increasing investment in test automation, many organisations today are yet to overcome the barrier to successful automated testing. In fact, only 15% of testing is currently automated [1].

Yet, the promise of increasing automation rates remains great for testers and their organisations. Test automation still holds the potential to increase quality, reduce costs, and lower test cycle times [1].

Clearly, something’s not right here. If automation has so many benefits, why has it not seen wider adoption? …


Removing Testing Bottlenecks in CI/CD and DevOps
Removing Testing Bottlenecks in CI/CD and DevOps

Curiosity often discuss barriers to “in-sprint testing”, focusing on techniques for reliably releasing fast-changing systems. These solutions accelerate and optimise processes that prevent organisations from making incremental improvements to complex systems.

Common barriers to in-sprint testing include flawed software design, slow test case creation, repetitive test scripting and time-consuming test data provisioning. You can see how Curiosity solve these challenges in our latest infographic, and on our next webinar: In-Sprint Testing: Aligning tests and teams to rapidly changing systems.

Curiosity recently received a great question from a senior tester: How do these testing accelerators further apply to CI/CD and DevOps?


The Open Testing Platform™ (OTP) is a collaboration hub that assists testers to keep pace with change. It transforms observations from the surrounding Dev-Test infrastructure into action enabling the organisation to test faster, smarter and at a much lower cost. The OTP is also testing tool agnostic, it works with over 100 different open-source and proprietary tools.

The Value of Using The Open Testing Platform

Siloes and manual processes have become a burden to software delivery teams, leading to costly delays in the SDLC and exposing business-critical systems to damaging bugs. Comprehensive automation and rigorous in-sprint testing should be considered a key goal for software delivery teams looking…


User stories, shift left QA with the open testing platform
User stories, shift left QA with the open testing platform

Software delivery teams across the industry have embraced agile delivery methods in order to promote collaboration between teams and deliver new software at unprecedented speeds. Although many teams boast agile delivery methods, one thing that still plagues the SDLC is poor requirements. How can this be, given the core goal of “Agile” in promoting better cross-team communication? For agile to truly be agile, QA must “Shift Left” to the design stage. This is the key to empowering cross team collaboration, improving requirements and reducing costly system faults in later stages of the SDLC.

Requirements still cause 35% of production defects…


Artificial Intelligence (AI) and Machine Learning (ML) solutions for quality assurance are growing increasingly popular. Seen as the “next big thing”, AI/ML have become buzzwords in the industry. Many organisations have already begun implementing AI frameworks into their delivery lifecycles, and many are exploring the possibilities of using AI in the future. In fact, 88% of respondents to the 2020/21 World Quality Report stated that AI is now the strongest growth area of their test activities [1].

It’s easy to see why AI/ML tools are in such high demand. The promise of reduced test maintenance, complete test automation and fast…


Test automation must be lightweight, re-usable and easy to apply, in order to help organisations, ease its implementation enterprise wide. Curiosity aims to provide a viable solution for the frustrations that automation engineers and testers currently face. From requirements defects, to complex scripting and test data bottlenecks, the below infographic discusses how we remove barriers to in-sprint testing.

Why does it remain so hard to develop and test in-sprint?

To learn more about Curiosity or Test Automation check out our latest eBook; Building Sustainable Test Automation: Should you hire more people or buy “another testing tool”?.

You can also visit our website, follow us on LinkedIn, Twitter, Facebook or subscribe to our YouTube channel.

About the author: Mantas Dvareckas, is a Marketing Assistant at Curiosity Software.


Continuous Testing — Containers and test data
Continuous Testing — Containers and test data

Enabling Truly Continuous Testing with Containerised Test Data Automation

Application development and testing has been revolutionised in the past several years with artifact and package repositories, enabling delivery of identical application environments in seconds. The use of Github, Jfrog and other repositories exploded with the introduction of Docker containers, and application development and testing now features containers and package repositories, as recognized best practices.

The development and testing of databases, however, remains mired in outdated database refresh and delivery processes. Backups are restored to fixed database instances, that are typically shared between multiple developers or testers. Updating databases often requires a full business day. Problems in a production database…


The Open Testing Platform
The Open Testing Platform

If testing was a race, data would win every time

Okay, so that title doesn’t make complete sense. However, if you read to the end of this article, all will become clear. I’m first going to discuss some of the persistent barriers to in-sprint testing and development. I will then discuss a viable route to delivering rigorously tested systems in short sprints.

The two kingpins in this approach will be data and automation, working in tandem to convert insights about what needs testing into rigorous automated tests. But first, let’s consider why it remains so challenging to design, develop and test in-sprint.

20 years on, siloes remain THE challenge in software delivery

As the Agile Manifesto approaches 20 years old…

Curiosity Software

Automation specialists. Testing, Test Data, DevOps. Inventors of Test Modeller, Test Data Automation, and VIP.

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