By – Rahul Pandey
(Product Marketing Manager | Digitate)
In a Forrester survey of 2018, 27% of 3228 global developers surveyed told that their organization releases software monthly or faster. The number has reduced significantly from 36% last year. One reason for the decline cited was that many development teams cannot keep up a fast release cadence because of poor quality.
Today, in order to meet customer requirements effectively, use of Autonomous Testing Tools along with a change in the testing approach has become mandatory. Several startups are coming up with test automation tools in the market, some of which claim to provide up to 70% faster testing of products and applications. However, there is no tool that automates test scenarios or provides intelligent test selection. The number of software developed has increased exponentially in recent times. Enterprises are looking for simple, quick and perfect software release.In 2018, according to one of the statistics revealed by Google at the JFrog SwampUp conference in Napa, over 500 million tests are being run per day inside Google’s systems. That’s to accommodate over 4 million builds/day. Click To Tweet
Even with all developments and new tools coming up, the core of software testing has remained stagnant since decades. Traditional testing lacks viability but are still widely used. Some easily relatable cases are:
- Automation of Test Scenarios.
- Verbiage of scenarios varying from person to person leading to increased complexity.
- Less reuse and higher volume of test scenarios.
- Lack of 360° view of the application to be tested, making it difficult to identify impacts due to change.
- There is always challenge on what to test and how much to test.
- Lack of an interactive dashboard and reports.
Currently, test automation is limited to test execution. Before test automation, testing was completely manual while today, it still remains to be effort and skill intensive. Autonomous testing augments tester in these areas.
A 360° application overview is essential during testing. Test scenarios and test cases must be created automatically by the tools, ensuring complete coverage from an application perspective. Any changes in the application must be identified and self-healed along with the analysis of impacted areas due to the change. Intelligent test selection along with impact analysis must be provided to bring right amount of balance between time and amount of testing to be done. Also, the user dashboard must be interactive with all detailed reports. A tool which consists of the features will be able to efficiently maintain the Cost, Time and Quality equilibrium.