Software testing and testing tools are indispensable to the development cycle. As the DevOps culture becomes mainstream, automated testing is a vital link in the CI/CD pipeline. Automation saves hours of error-prone deployment work, allowing better quality software to release faster. There are several testing automation tools in the market that enable you to accelerate your release cycle and enhance coverage. But it is fair to say that all tools aren’t created equal. Luckily, there are several parameters that can help you make an informed decision before you purchase.
Criteria for Automated Testing Tools:
- IDE Integrations: Does the testing tool integrated well with your chosen IDEs? Will your developers be able to create tests within their preferred environments? This is an important factor for acceptance and adoption of the testing tool.
- Ease of use: How friendly is the UI of the product? If the learning curve involved is steep and the tool is more complex than your requirement stipulates, you need to reconsider. If scripting is the only option for creating automated tests, then it can make testing difficult for all the team members.
- BDD/TDD Support: The paradigm of test authoring has shifted to natural language for inclusivity. BDD/TDD support ensures that your product and analyst teams pitch in and author test cases, manage them using the metrics. Moreover, BDD/TDD support and keyword-driven testing lead to higher accessibility and a fully agile testing experience.
- Scalability and coverage: The ideal testing framework should scale up like a champ and support various scenarios and mobile conditioning use cases. Such as mobile barcode scanning, locating spoofing, touch ID etc. Ideally, you need a solution that is omnichannel, multi-device and multi-locale providing the full spectrum of coverage for the web, mobile, micro-services, and other scenarios.
- Platform/OS compatibility: Most organizations and customers have versatile needs in terms of platform and OS compatibility. Look for a tool that not only supports a majority of applications and platforms that your organization uses but also supports for cross-platform test automation – testing multiple devices at the same time across channels. A tool that supports different OS configurations is also an added bonus.
- Data-driven testing: Choose a tool that allows you to simulate input from various data sources. It allows any test case to be run against numerous data sets from all the standard applications or even your own database.
- Reporting and dashboard: Reporting analytics allow in-depth exploration of test scenarios and test cases across the projects. These metrics are key to the success of QA professionals and developers. Does the tool offer granular reporting and custom dashboards with high visibility and traceability?
If you are evaluating several tools, it helps to create a scorecard of competencies and grade them against each parameter. With QMetry Automation Studio
, you can leverage all of the above benefits with additional differentiators that result in efficient testing and higher productivity.