Here Are Key Trends To Watch Out For In Automation Testing
September 11, 2020
Here are key trends to watch out for in Automation testing
You can’t deny the fact that time is moving fast as we reach the end of the year, and so is technology evolving in a blink of an eye. Software testing is still getting used to the dramatic changes occurring in the development industry. Software technologies are so rapidly advancing that the testers have no choice rather than to upskill their current knowledge and hands-on experience in various newly introduced tools. As it is vital for software testing organizations to understand what’s changing, we have come up with a set of crucial trends to look for and to get a clearer picture on what the next year will look like for software testers.
Codeless Test Automation is the future
This is the time of agile development cycle which involves iterated releases making testing a complicated process. Hence automated testing is a necessity for agile development process. But things get critical when there is a large project with a fast cycle release. Traditional automation involves writing separate execution software scripts for each test case, and then executing them through a separate software setup. But when there is a large project this involves a lot of time by creating test environment and writing test scripts. This is where codeless test automation will increase the scalability of test automation.
Codeless test automation tool helps the software testers and business users to automate test cases without writing a single line of code. It is user friendly and helps to deliver faster results and by decreasing the coding process.
Era of Non-selenium automation testing tools has already begun
Selenium is a great tool as it supports different programming languages like C sharp, Java, Python, Ruby and so on and a lot of language binding is also supported. It also supports different eco-systems like Windows, Mac etc. supports various browsers as well. But the fact is, the monopoly of using Selenium is trying to reduce right now and several other options are available in the market which doesn’t use selenium at all. You can see how users are now moving away from browser-based automation tools to more open source tools. A couple of examples to cited would be Cypress.io, Nightwatch.js, Puppeteer and TestCafe.
Agile & DevOps
As there is an increasing demand to adapt to changing requirements of industry organizations are now going in the path of agile and DevOps to meet the demand for speed.
The adoption of Agile and DevOps has gained much popularity in the past couple of years and is spreading rapidly among test organizations as it helps the team to deliver software without compromising on quality as well as speed. The best part about this is that it can drive faster deployments even for complicated systems with cost effective solutions.
AI for testing
AI and ML approaches are not new in software testing but it’s still in its early adoption stages. Organizations are still getting used to this concept and can be expected to optimize their testing best practices in AI/ML
AI/ML algorithms will help testers to develop better test scripts, test cases, reports etc. And with the help of predictive analysis, they would be able to decide on when and what to test according to flaws anticipated earlier.