GenRocket Blog

Software Testing

In our modern, data-centric world, organizations encounter numerous challenges when testing critical financial systems and applications. Managing vast amounts of data for testing these applications while ensuring data privacy, consistency and integrity can appear daunting. However, with the right tools and strategies, these challenges can become opportunities for innovation and success.

Software release frequencies are continuously accelerating. The latest Capgemini/Sogeti Continuous Testing Report 2020 measured the release frequencies for 500 large enterprises in North America and Europe. The results, shown in the graphic below, indicate 61% of organizations are deploying a new build on a daily or weekly basis. Another 26% deploy code hourly, while some even deploy several times per hour.

Part 3 in the series: Moving from Test Automation to Intelligent Automation In part 2 of this series, Data Modeling and Referential Integrity, we explored GenRocket’s ability to reproduce the structure of any database, file format or data interface standard by importing a data model and establishing referential integrity between related data tables. This capability allows a data architect to establish a framework for testers to generate any volume or variety of test data that conforms to the structure of application data sources. In GenRocket’s component architecture, data tables are referred to as Domains while columns, are referred to as Attributes. In addition to data tables in a database, Domains can define any real-world object. Think of a Domain as you would a noun: a person, place or thing.