Test automation and AI are the future of quality assurance with AI and automation
Not least because of the pandemic, businesses have to find ways how you can achieve rapid Release cycles, without compromising the safety of application. A quality management system that relies on automation and AI support, can provide valuable assistance.
Companies
AI-driven test automation helps to improve the quality of Software products.
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While public life was shut down, saw the digitization of a rapid thrust. In order not to lose their customers and to develop new sources of income, also many companies that were previously on this field is still not present on Online-shop and digital services.
In the fall of 2020, the E-Commerce experienced a Boom during the days of action Black Friday and Cyber Monday in the German retail sector recorded a sales increase of 18 percent compared to the previous year. At the same time, the infrastructure of companies that send their employees to the home office to change.
Overall, this means that different sectors to rethink their existing strategies, adapt, or even having to put on. This Situation, more and more communication, transactions, and services in the virtual space have been moved, meant that the companies had to react quickly and under high pressure new Services to the Start-up brought. The sheer speed was mostly a top priority, but this of course increases the susceptibility to errors.
In the case of Online services, this means that both the application security as well as the User Experience, and to the satisfaction of the customer suffering – not to mention the reputation of a company. In the long term, these factors may even lead to loss of Customers and loss of revenue. For quality assurance which has consistently focused on test automation can help, the apparent contradiction between speed and quality to resolve.
Quality assurance as an integral part of the development
In recent years, the quality has changed a fundamental part of Software development. This growth in the importance of the latest World Quality Report from Capgemini and Sogeti with support from Micro Focus is confirmed. For most of the participating companies automation of a clear business interest in the foreground – for example, accelerated growth in the promotion of the test.
In contrast to this growth in the importance of the Budget, the business plan for the assurance of quality, however. For several years, the funds provided to decline. The proportion of income spent on quality assurance, has fallen from 35 percent in 2015 to 22 percent in the year 2020. The logical consequence of declining Budgets in the case of increasing demands, the search for Alternatives.
While Teams around the world have switched from the corporate office to the home office, in order to reduce contagion risks, increased the number of security-related incidents and Cyber-attacks. As a result, 83 percent of CIOs and IT managers have expressed concern about the state of application security.
This, in turn, had a direct impact on the quality assurance strategies and an increase in the adoption of Cloud infrastructures. According to the WQR 34 percent of respondents consider it necessary to allow your team to a secure and efficient remote access to test systems and environments, to ensure the quality and safety of the application of development in spite of distributed Teams.
Test automation increases productivity
Against the Background of the diverse challenges experienced agile DevOps models in the last year, a large Boom. This was also accompanied by the enhanced implementation of the Shift-Left approach in Software development. But this should not obscure the fact that often lack Expertise in the area of quality assurance in General and automation in Particular.
Sprint automation, a Test that is automatically performed within a sprint, using only very few developers. The participants of the WQR are, however, about the Potential of new technologies in the Clear. 88 percent of respondents say that AI and automation are one of the fastest growing areas in your Testing. In addition, 86 percent believe that AI is a key criterion in the selection of new solutions for quality assurance.
Intelligent automation solutions increase the productivity of Software companies, by removing employees annoying, time-consuming tasks. Anomaly detection is a particular strength of the AI, whether it be latency problems, broken Links or Script error. Thought-out Algorithms, the test data so that the Data Set are kept compact and the test times as short as possible – without significant loss of quality. Companies should make sure that you choose a platform solution that integrates all the commonly used technologies.
Conclusion
The latest World Quality Report shows that When it comes to the reliable and secure delivery of Software, you will today, no way to automated Testing. This should be the majority of IT decision-makers is clear. Often, however, the consistent implementation of limited Budgets and technical hurdles to fail. Companies that want to achieve their goals and their customers the best possible quality, you should set your priorities accordingly, to overcome these challenges.
Raffi Margaliot (Image: Micro Focus)
A comprehensive quality management system, which includes AI-driven test automation helps challenges at an early stage and throughout the development cycle effectively address the extension of the competences of the team responsible in the areas of (Test)automation, test data and test environment management, and AI belongs to.
* Raffi Margaliot is a Senior Vice President and General Manager, Application Delivery Management at Micro Focus. He has more than a decade of experience in the development of business strategies, product development and the provision of technology solutions that address customer problems. Raffi was one of the founders of today’s Application Lifecycle Management platform.
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