Artificial intelligence has emerged as a game-changer in the domain of automation testing. These technologies have unveiled new possibilities and methods for automation testers that can help them select the tool and techniques to complete a task more efficiently and effectively. Some of the ways that AI helps in automation testing include reducing the maintenance cost, analysing data to identify defects, effective decision making, organising test sets, and more.
In this article, we list – in no particular order – six must-have skills for an AI Automation Tester in 2020:
Expert In AI Automation Tools
The motive behind every organisation is to achieve the best outcome with lower maintenance costs. With the advent of AI, it has become possible to gain more accurate as well as cost-effective results. Currently, there are several AI frameworks and automation tools present around us, which can be used for automated test generation.
Tools such as Testim use artificial intelligence and machine learning to speed-up the authoring, execution, and maintenance of automated tests. Another tool is the Appvance IQ that offers both AI-generated tests and 3rd-generation, codeless scripting. The tool also executes scripts through data-driven functional, performance, app-pen and API testing for both web and mobile apps.
More AI Automation, Less Manual Work
Manual testing is the process where a developer manually executes test cases without utilising any automation tools. There is no doubt that manual testing is one of the most primetime methods of testing and finding bugs in a software system. However, everything needs to change with time.
The evolution in technology is constant, and with this constant evolution, one needs to be faster and efficient in every manner. Manual testing may provide good outcomes, but it requires more human effort and time. This is where AI automation techniques come into play. AI is all about making less human effort and making processes cost-effective. Understanding how machine learning works and which algorithm will play the perfect role will help you save a huge amount of time and provide information on flag areas, current test coverage, etc quickly.
Knowledge of Cloud Computing
According to reports, the global cloud computing market size is expected to grow from $272.0 billion in 2018 to $623.3 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 18.0% during the forecast period. Cloud computing plays a significant role in emerging technologies, and almost every organisation is shifting towards using cloud platforms to achieve flexibility, abundant resources, scalability, and more.
Some of the advantages that cloud computing provides in AI-based automation testing include speed up testing, reduce IT management costs and effort, disaster recovery, more collaboration and more. Sauce Labs is one of the most popular cloud-based test automation tools that leverage machine learning and AI.
Stay Updated With the Trends
If you want to be ahead of the game, you must have the curiosity to learn new technologies and tools. With the right and updated knowledge of the trends, you can help yourself build a better future. The internet is flooding with resources on AI in automation and testing, and it is the best time to hit some of those courses and enhance your knowledge base.
Some of the online resources are mentioned below:
- Artificial Intelligence for Faster and Smarter UI Testing (Click here)
- Scope and impact of AI in Automation Testing (Click here)
Visualisation is one of the most important topics in the domain of emerging technologies. It has changed the way people used to make, as well as understand decisions. By understanding the techniques of visual testing and implementing AI-based visual validation methods, one can find outcomes which can be missed by simple traditional testing methods.
One of the tools is called Applitools. It is an application visual management and AI-powered visual UI testing and monitoring software. This tool helps a tester by providing an end-to-end software testing platform powered by Visual AI.
Certifications In AI-Based Automation Courses
Certifications are one of the best ways to show that you have the knowledge and skill in a particular domain. There are various certifications available online where you can learn and improve your base. This will not only help you stand out, but also help you achieve your goals in AI Automation testing in a more efficient way.
Some of the certifications you can apply for include:
- Artificial Intelligence (AI) in Software Testing (Click here)
- A4Q AI and Software Testing Foundation certification (Click here)
- Artificial Intelligence (AI) in Software Testing by Certybox (Click here)
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A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box. Contact: email@example.com