Will software test itself in the future? How Artificial Intelligence is changing the testing landscape
Whether you are steering your navigation system in your car by voice recognition or telling your smart speaker at home which song to play, Artificial Intelligence (AI) is behind it all. Machine learning and AI systems have conquered the tech world and drastically influenced our lives. It’s the logical next step that this technology also revolutionises software testing. However, what is already possible with AI in software testing today – also referred to as AI testing – and how will it change this sector in the future?
The consultancy Capgemini states in its World Quality Report 2016/2017 that the “introduction of machine-based intelligence (…) will be the next big wave of change after the introduction of risk-based strategies and test automation technologies.” Though test automation is known as an efficient method, especially for regression tests and companies using a continuous integration approach, many firms do not use it as much as they do other testing methods. According to the Capgemini World Quality Report 2017/2018, the average level of automation for test activities is only around 16%. If AI testing is the next step, does that mean it will still take years until companies use it? Let us have a look at what is already possible in the field of AI testing.
Generally, several use cases for AI Testing are possible, such as a focus on test management and the automated creation of test cases, generating test code or creating and running tests automatically on an application without writing any code. Currently, there are already solutions on the market, which automatically generate tests and execute them on user journeys. Furthermore, some solutions use existing data in a company’s QA system, like defects and test cases, to identify problem areas in the product.
So, what might be possible in the future of AI testing? Humans could have less work with implementing, executing and analyzing test results, but they will be the ones approving and deciding what to do with them. In this manner, AI is able to help us test faster and more efficiently.
When it comes to user experience, human feedback, for example from crowd testers, there is still an urgent need to get a comprehensive overview on how the target group thinks and feels about a product. The reaction of the real user to a product, which is also emotional and not always lead by logical principles, will most likely not be simulated by an AI – or at least not in the near future. Studies in the field of Affective Computing aim to make computers emotionally intelligent. Maybe an AI as sophisticated as Watson by IBM could estimate how fast this field will progress.
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Susanne likes to talk a lot and therefore is responsible for Marketing and PR. In the evening after work she shows her quiet side when doing yoga and meditation.
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Testbirds specialises in the testing of software such as apps, websites and Internet of Things applications by using innovative technologies and solutions. Under the slogan, “Testing Reality”, the company offers various testing methods to its clients looking to optimise the user-friendliness and functionality of their digital products. With over 250,000 registered testers located in 193 countries, Testbirds is one of the world’s leading crowdtesting providers. In addition, the IT service provider utilises cloud based technologies to support customers in the optimisation of their digital products. The combination of the two testing methods delivers a unique and extensive portfolio that takes the quality of software to the next level. Testbirds was founded in 2011 by Philipp Benkler, Georg Hansbauer and Markus Steinhauser. Today, the company has over 100 employees. Other than its headquarters in Munich, there are now offices in Amsterdam, London and Stockholm, franchises in Hungary and Russia and sales partners in Italy.
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