Why is manual testing decreasing
How Artificial Intelligence (AI) is changing software testing
We live in a time that is characterized by ever faster development cycles. This problem primarily includes the software industry. Customers are demanding more and more frequent releases as the complexity of the software solutions increases. As a result, the quality of software products suffers enormously and we are all confronted with faulty software on a daily basis.
Updates from the manufacturer often provide a solution to an existing problem, but often include new errors. Not only is the number of obvious program errors increasing, the security gaps in software programs that are hidden from the user are also becoming a significant problem for both customers and manufacturers. These flawed software solutions cause approximately $ 1,715,430,778,500 (one thousand seven hundred and fifteen billion US dollars) in damage annually worldwide.
An example of how a trivial software error not only endangers the company's existence, but can also endanger people, can be seen in the Boeing 787 Dreamliner. An “integer overflow” crept in there, which caused the control unit to switch to fail-safe mode after 248 days of continuous operation. If this error occurs in flight, the pilot loses control of the machine and a crash is the inevitable consequence.
In order to prevent such damage, programs must be tested. This is done in different ways: On the one hand, there is manual testing, where programs are checked by hand using a script. However, these scripts have to be created by a test manager who manually determines which steps a tester has to carry out and how the software should behave. The responsible testers then take over and work through the previously defined script before the product is sent to the customer. These scripts have to be processed again before each release and are therefore an enormous burden because a manual test run in larger projects takes several man-months or man-years.
A fundamentally more efficient way of checking software for errors is through automated testing. This approach was trend-setting in the field of software testing. Developers automate the scripts created so that they no longer have to be processed manually by a tester. The most striking advantage over manual testing is that these tests can be run over and over again. However, this entails a high initial effort and skilled workers are required to write these complex tests. But such specialists are rare and therefore difficult to find for any company.
Automated software tests are clearly superior to manual testing. Both methods have the same basic problem: a person is responsible for defining all relevant test cases. Nowadays software solutions are simply far too complex for a person to be able to consider all eventualities. In addition, a tester can only find those types of errors and security holes that are already known to him. In addition to the risk of errors being overlooked, current test processes consume enormous amounts of time and thus also monetary resources. In total, developers spend significantly more than 30% of their work creating test cases, and yet they still fail to keep software free from errors and security gaps.
How can Symflower improve software testing in the long term?
This is exactly where Symflower starts with its product. With the help of artificial intelligence and mathematical models, tests (so-called unit tests) are generated and executed fully automatically. This happens without any human influence or involvement. These automatically generated unit tests are based on technological advances which, after years of basic research, are now being used in a commercial product. In addition, Symflower relies on the approach of continuous testing. This means that new unit tests are written autonomously for every single change in the source code. This means that absolutely every change is checked.
Until now, when testing software, it was often not possible to write your own tests for all eventualities and changes for economic reasons. With the help of Symflower, this problem is completely solved. As soon as a developer makes a change to the program, Symflower immediately and independently investigates whether this change causes problems. If this is the case, the developer will be informed. This means that software can be delivered to customers in a quality that really meets the justifiably high demands. Software errors like those at Boeing are a thing of the past from now on.
But not only the quality is massively improved. At the same time, software development is also becoming faster and more cost-effective than is the case today. Thanks to the significant reduction in testing effort in product development, developers can focus fully on their actual work again: creating and creating new functionalities and great software.
There are many reasons our customers love Symflower, but ultimately, the main reasons they use it are:
Symflower not only automatically detects errors in software programs, but also autonomously finds performance and security problems in your source code. Since we test software without humans using AI and mathematical models, we also find errors that humans would overlook. By using our disruptive technology, you can achieve unprecedented test coverage. As a result, the quality of your software products increases significantly. Last but not least, error-free software leads to a reduction in complaints and thus to an increase in customer satisfaction.
Our customers can achieve cost savings of up to 60% in internal software development. A mistake that is corrected during development also causes significantly less costs than would have to be corrected at the client's facility. This not only leads to an optimization of the process, but also has a positive effect on our customers' EBIT. In addition, the business risk of hacker attacks is drastically reduced through the automatic detection of security problems.
Symflower increases the efficiency of a developer by up to 40%. This enables projects to be implemented more quickly with the same number of employees. This significant reduction in the internal project duration enables our customers to receive an earlier invoice and thus optimize their own cash flow. In addition, the capacities can be used more quickly for new projects.
Our solution is available as on-premise and as a cloud service. The software only needs to be configured once and is ready for use in the company in less than 60 minutes - regardless of the number of developers. Symflower does not require any training and therefore does not block resources on the customer side either in the introductory phase or afterwards.
Don't miss the future of et software testing!
Interested in a demo? Contact us. We are glad to be here for you.
Ing.Norbert Presslaber, MBA
Managing Director / Sales and Marketing
mobile: + 43-676-849 940 200
email: [email protected]
4020 Linz, Austria, EU
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