Most engineers have heard of Murphy’s Law, which states, “Anything that can go wrong, will go wrong.” Based on years of engineering, we’ve learned Murphy was absolutely right, especially when it comes to software. Undoubtedly, your own personal trials provide all the evidence needed to prove it.
Recognizing this reality, it is essential to install a philosophy and culture within the organization that elevates software quality to priority number one. Above all else, when it comes to product quality, everyone must strive for the best and not merely settle for “good enough.”
A goal toward superior software quality must be executed in concrete plans and actions. The reality is that there are never enough resources to perform enough tests. Therefore, the key is the efficiency of the QA process.One straightforward way to increase product constancy is to simply increase the test mileage on all supported features by expanding the test effort to be an around-the-clock effort. This is where test automation comes in.
Test automation is not a new concept. From open source web applications that are available all over the Internet to all the popular large-scale software development principles such as agile and DevOps, automated testing is usually taken into consideration as a vital step of the development process. With that in mind, there are a few necessities essential to any automation platform. In order to best enhance a software product’s reliability, consider these seven test automation requirements.
Centralization: Automation effort has to be correlated, not only among QA engineers and developers, but also among facilitates across the globe. Test scheduling, executing, and reporting can be coordinated in a central place and managed in a multi-user environment.
Customization: Having a test case rostrum that allows testing to be customized at runtime via the web-based GUI which allows generic test cases to be developed, as opposed to machine-specific scripts. Remember the mantra “Develop once, use every where.”
Multi-Component and Cross-Platform: The above mantra applies not only to different tests, but also to multiple platforms and components within a test. This implies an agent-system that can be installed on different OS platforms.
Cost-Effectiveness: The fundamental motivation is that effort is spent on design. Building and implementing the infrastructure will be substantially less than what is spent on performing manual tests.
Process Development: Normalize writing test scripts to cover most non-test-related logic within the framework, such as the logic to show the status and progress of the tests. This permits QA engineers to quickly put together new test cases that concentrate only on the test logic. Reusable test scripts allow new test cases to be created more efficiently.
Test Result Reporting and Analysis: Uniform reporting allows test results to be quickly and accurately analysed.
Test Progress and Monitoring: A user-friendly, web-based GUI allows for setting up test plans and managing and customizing test cases. This makes the operation workflow more productive, as developers and QA engineers can each focus on their own tasks.
In any software development operation, but especially for large-scale enterprise software, having access to a next-generation platform for testing automation designed with an architecture following this blueprint will help achieve higher engineering efficiency.
Not only can the testing effort be utilized around the clock to provide insightful test mileage during its stages of development, but with the assistance of the platform’s advanced management and reporting features, testing also can facilitate the management perspective of QA operations within the organization. Such a platform can be a vital component in helping you push software quality to a whole new level.