As most people in the software industry know, there are distinct differences between manual testing and automated testing. Manual testing requires physical time and effort to ensure the software code does everything it’s supposed to do. In addition, manual testers have to make a record of their findings. This involves checking log files, external services and the database for errors. If you’re familiar with manual testing, you know this process can be extremely time-consuming and repetitive.
Automated testing is, well, automated. This differs from manual testing where a human being is responsible for single-handedly testing the functionality of the software in the way a user would. Because automated testing is done through an automation tool, less time is needed in exploratory tests and more time is needed in maintaining test scripts while increasing overall test coverage.
The demand for delivering quality software faster — or “Quality at Speed” — requires organizations to search for solutions in Agile, continuous integration (CI) and DevOps methodologies. Test automation is an essential part of these aspects. The latest World Quality Report 2018–2019 suggests that test automation is the biggest bottleneck to deliver “Quality at Speed,” as it is an enabler of successful Agile and DevOps adoption.
Test automation cannot be realized without good tools; as they determine how automation is performed and whether the benefits of automation can be delivered. Test automation tools is a crucial component in the DevOps toolchain. The current test automation trends have increased in applying artificial intelligence and machine learning (AI/ML) to offer advanced capabilities for test optimization, intelligent test generation, execution, and reporting. It will be worthwhile to understand which tools are best poised to take advantage of these trends.
The benefit of manual testing is that it allows a human mind to draw insights from a test that might otherwise be missed by an automated testing program. Automated testing is well-suited for large projects; projects that require testing the same areas over and over; and projects that have already been through an initial manual testing process.
Test automation is one of the most mature software testing segments. Currently, the rise of good open source options and the push toward DevOps and multichannel models are transforming this segment.
This category of tools helps automate functional and Regression Testing of your application under test.
Criteria for our automated testing tools
Must be effective, usable and well designed
Must support API and services testing
Must provide some Artificial Intelligence, Machine Learning and Analytics capabilities
Must be proven in terms of popularity and maturity