Effective Test Data Management Strategy (TDSM) is now a key component of the agile methodology. TDM is a tool that enables a business to obtain test results in a shorter period of time as compared to traditional manual testing. It is vital for businesses to adopt a test data strategy which is based on real-time requirements analysis, proactive test cases, and efficient test automation strategies. However, there are certain factors that need to be considered before adopting this strategy. These are discussed below:
Test case definition is an integral part of the development of a test data strategy. The strategy should have a well defined goal, a clearly defined outline, and a set of procedures to achieve this goal. The objective of TDM is to provide business with test data management solutions, which can help reduce the test execution times, and thus improve the productivity of the test team and the organization as a whole. In line with this, effective Test Data Management Strategy must be a high priority in any agile implementation. And this is constantly undergoing continuous refinement based on new developments in the software development process and the technology landscape.
Another important factor that requires serious attention is the use of test data services and/or service virtualization. Both of them are extremely important in an agile test automation strategy. Service virtualization and test data services enable application testing to be easier by migrating the test code to a unique environment. Since both of them are relatively new concepts, the opinions and thoughts on their efficiency have not been diluted by long-term experience.
One major advantage of using test data management strategy is that it provides the test automation team with real-time information. This can be especially valuable when you are dealing with big data issues like automated quality assurance and acceptance testing. Such scenarios require quick, real-time visibility into the test data to make corrections as they occur in real time. As such, a test data management strategy enables the team to quickly respond to the problems arising from large-scale changes and also to address new issues as they arise.
Another very important advantage of developing a test data management strategy is that it helps to achieve better collaboration among test teams. When teams have better connectivity, they are able to make better decisions and arrive at collective decisions faster. In addition, as the test data becomes more available to more people, it also provides better insights into the real-life usage of the application. With the increased amount of test data available, the team can improve its knowledge of the real-life scenario, which in turn, can help them come up with more efficient solutions to real-life issues.
A test data management strategy not only helps test automation teams achieve their goals, but also allows those teams to work more productively together. This happens because test data management allows the two sides to communicate their thoughts and work together to find the root cause of the problem. The communication process fostered by test data management helps the automation team come up with better solutions than the previous methods could provide.
It is not only test data management strategies that automate the process of software testing. Another important step towards software testing automation is to create test cases. A test case is a concise, representative, and specific description of the steps that must be performed to achieve a certain condition within the software. Test cases allow the test automation team to focus on each step of the software test, while considering the requirements of other team members. This helps ensure that the overall test effort is as focused as possible.
The combination of test data management and test data automation is a winning combination. The automation team benefits from the test data management strategy, while the test data management strategy helps the software testers to achieve their goals faster and more efficiently. These strategies are not mutually exclusive; in fact, they are a natural extension of one another. Software testing requires a lot of time and people, which is not always available. When both sides work together, the speed at which the software tests are completed is dramatically increased.