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Top Testing Trends in 2020

Top Testing Trends in 2020

With the adoption and spread of digital technology, software testing helps different organizations stay competitive and shows exponential growth during the last four years. While not every institution will be impacted equally by fast-changing technology, IT undoubtedly plays a significant role in all industries. In this article we emphasize in the eight most important tech trends that banks and financial services organisations will continue to experience within 2020:

The impact of poor software quality in banking

The impact of poor software quality in banking

On May 2019, Deutsche Bank found out that its software, which is meant to Detect Money Laundering activity, had a bug that prevents a program from retroactively scanning and analyzing corporate payments to flag potentially suspicious transactions and identify patterns that can be notified to regulators. The AML software program “was configured erroneously with two out of 121 parameters defined incorrectly,” the financial institution said in a statement. This was not the first time Deutsche Bank has been repeatedly fined for failing to fight money laundering as well as to comply with sanctions against foreign countries and entities.
How to manage complex hierarchical data when working with SWIFT

How to manage complex hierarchical data when working with SWIFT

SWIFT operates a messaging service for financial messages, such as letters of credit, payments, and securities transactions, between member banks and financial services institutions worldwide. Although such formats have proven to be extremely efficient for electronic data exchange, they are typically difficult for humans to understand, manipulate, and validate.

When testing end-to-end transactions that leverage such message formats, sending a single inbound transaction and validating the result can be both difficult and error-prone, and involves complex test suites that leverage large data sets and perform multilayer validation on the outbound transactions.
AI, Analytics and Test Management, All in One!

AI, Analytics and Test Management, All in One!

Getting Quality Performance right is key to the success of every area of the QA business. Organisations need to see results across projects, departments and geographies  in order to make faster and more informed decisions.
Unlock your Temenos data for DevOps success

Unlock your Temenos data for DevOps success

One of the key challenges in deploying DevOps is test data management, as in DevOps the need for data grows significantly. With more and more Temenos core banking clients turning to Continuous Delivery and DevOps practices, rigorous and agile testing is essential to releasing quality software. To do this you need quality data, and in most cases project delays occur because testers lack access to the data they need, when they need it.

The ‘new normal’ in Agile Test Data Management

Test Data Management (TDM) has always been a critical part of the application development and testing life cycle, however its importance or having the right data delivered to the right people, at the right time, for testing purposes is overlooked. Poor test case design and the inefficient provisioning of poor quality data means that test teams find themselves without the data required to fully test a system. Quality is compromised in favour of delivering software on time and within budget.

Getting ready for Big Data Testing

As Testers, we need trustworthy data! Data is often the root cause of testing issues; we don’t always have the data we need, which causes blocked test cases, and defects get returned as “data issues.”

Best Practices for Effective Test Data Management

Best Practices for Effective Test Data Management

Testers usually spend up to 50% of their time looking for data, and as much as 20% of the total Software Development lifecycle is spent waiting for it. The need for effective test data management is obvious as data keeps growing and taking more time and money in order to be under control.

Free your testing teams from the hell of Excel

An estimated of 1 billion people still use Excel spreadsheets for their reporting. However, in the new age of on-demand business software and the need for a collaborative and always connected business setup, there are areas in which spreadsheets are limiting as your business intelligence tool.
Integrating Digital with Legacy systems

Integrating Digital with Legacy systems

Validata is a niche player that specialises in banking software testing. At the core of its platform solution is automation based on processes common to most banking platforms. QA-Financial met with Vaios Vaitsis, Validata’s founder and CEO, to find out more.
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