Alleviating the biggest bottleneck to shift-left testing
Create exactly the needed test data to execute your progression and regression tests.
Extract production data from any number of systems, to any number of test environments, in minutes.
Generate test data effortlessly, while ensuring referential integrity, data security, and compliance.
Shift-left testing is an approach to software testing in which testing is performed earlier in the software development process. To test earlier, however, requires the earlier availability of realistic test data.
Shift-left testing is common in agile development and DevOps, where software development is decomposed to short-duration “sprints”. Each sprint requires its own testing cycles, and so, creating realistic test data often becomes a bottleneck – eating up the agile productivity gains.
Low-quality test data can cause unreliable test results and low test coverage. This often results in low-quality software delivery, costly rework, and undermined delivery credibility.
The solution is to shift test data provisioning to the left, in support of frequent, high-quality software releases.
Preparing quality test data has always been a challenge, especially with agile development and CI/CD. And with the growing popularity of microservices, and the integration of multiple applications, the provisioning of valid test data has become even more complex.
The prime advantage of adopting a shift-left test data provisioning approach is increased efficiency, whose benefits include:
K2View Test Data Management (TDM) addresses the test data challenges of shift-left testing by enabling developers and testers to provision test data based on a specific set of criteria. It extracts data from production sources, uses in-flight data masking tools to protect sensitive data, and then loads it to the appropriate testing environments, on-demand.
By preparing the test data requirements together with the test cases, and then provisioning the test data on demand, K2View shifts testing as far to the left as possible.
The K2View TDM solution uniquely extracts and organizes data from production systems into a test data warehouse, where test data is organized according to data product schemas – one schema per data product. A data product typically corresponds to a business entity, such as a customer, location, party, device, or anyone, or anything, else that’s business-critical.
The data product unifies all the data elements for the business entity, from all production systems, regardless of the number of underlying source systems, their technologies, and data formats.
The K2View TDM solution automates the process of data extraction, cleansing, and masking, as well as data encryption, and movement to the target test environments. This is performed in minutes, instead of days or weeks.
Learn why existing approaches to shift-left testing fail, and how K2View's TDM solution is giving DevOps teams the ability to automate provisioning of parameter-based, test data subsets.
