How can you boost software testing productivity with test data management


How can you boost Software Testing productivity with Test Data Management

Big brands and technology trendsetters are pacing up to bring self-driving cars to the market. In this entire rumble, Tesla and SpaceX CEO Elon Musk recently announced its foray in the Middle Eastern market. While addressing a panel at World Government Summit in Dubai, he cited that self-driving car systems are imminent within the next few years, however, it might take longer for the tech to fully "disrupt" manual driving. This is key, as it establishes the critically of implementing comprehensive software testing methodologies and leveraging right Test Data for Continuous Testing.

Taking the announcement further, Elon Musk has announced Tesla’s official entry in the UAE market with its Model S and Model X crossover vehicles. He further mentioned, ‘My guess is that in probably 10 years it will be very unusual for cars to be built that are not fully autonomous.’

In path-breaking scenarios like these, it is inevitable to build the product/service with robust quality testing processes and methodologies. It is even more critical to manage and retrieve test data for further optimization. This data and centralized software testing methodologies can enable enterprises to effectively implement Performance Testing.

Why consider Test Data Management?Test Data Management, also referred as software test data management, entails planning, designing, storing, and managing software testing processes and methodologies. It enables the software quality and testing teams to control and check the data, files, methodologies and policies across the entire software-testing lifecycle.



The underlying purpose is to create, manage and maintain the source codes of the application/software for testing. With Test Data Management you can separate test data from production data and retain the version of tested software, bug tracking and other software-testing processes.

Another key objective of Test Data Management is to minimize and optimize the amount of software testing data and at the same time collate, centralize, and standardize software testing documentation and testing resources.

It is critical during the testing lifecycle, where the data generated and collated is massive for testing the application/software. When the results get reported, it reduces the time spent on processing the data. This further helps build efficiency of the overall application / software.

You must consider the following checklist during Test Data Management:• Check for common test data elements• Archive (age, mask) and maintain test data• Arrange and allot test data• Build reports and dashboards • Prioritize and allocate test data



• Create reports and dashboards for developing metrics

• Develop Test Automation suite for preparing master data

• Maintain versions of test data and processes/standards

How can Test Data Management garner a 2x growth?

With the traditional software development processes, the development teams normally have inadequate access to test data. This primarily drives the need for effective Test Data Management. It can empower development teams and rise above the ‘data trouble’.

The quantum of applications being developed and tested are increasing drastically. As a result, testing and development teams cannot work in silos. They need full access to the testing methodologies, test execution data, and standards. It helps to incorporate enhancements and corrections at every level, and make the development environment conducive for Continuous Testing.

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How can you boost software testing productivity with test data management

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