Validata Blog: Talk AI-powered Testing

4 ways Shift-Left Testing enhances Software Quality

4 ways Shift-Left Testing enhances Software Quality

Agile and DevOps practices have brought a revolutionary wave in testing. The shift-left way of thinking has made testing and development no longer separate tasks and gave to testing the ability to track the quality metrics right from the inception and on a regular basis thanks to a more ‘continuous’ approach (Continuous Testing, Continuous Development and Continuous Deployment).
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The state of software testing: How Digital testing can drive customer experience transformation

The state of software testing: How Digital testing can drive customer experience transformation

by Vaios Vaitsis, Founder & CEO at Validata Group   To win, serve and retain customers, testing activities are becoming more pivotal as business process quality is deemed more important than time to market. Beginning with the business-driven change request, through to project scoping and on to DevOps adoption, the infrastructure for technical and regression testing must be present and aligned to every phase.
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Why choose Validata Quality Suite over Selenium

Why choose Validata Quality Suite over Selenium

It is a fact that test automation shortens development cycles, avoids cumbersome repetitive tasks and create repeatable, reusable test scenarios that can be executed as often as needed to improve software quality. The first step is to identify the right test automation tool that fits your overall requirements from a variety of options available in the market, both commercial and open source.
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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.
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