THE QUALITY BLOG

by System Verification

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Skills and Expertise (7)

System Verification No code AI Machine Learning

Key considerations before enabling no-code, AI solutions or machine learning in your QA process

Right now, on the market there are a plethora of commercial and open-source no-code and low-code solutions available that can help organizations automate many of the tasks associated with QA (Quality Assurance) and improve the effectiveness and efficiency of testing. These tools offer a wide range of features, including AI-powered test case generation, test execution, and test management. By leveraging these tools, organizations can streamline their QA processes.

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The Opportunity of Web Accessibility

Initiating our first internal project at System Verification Germany

In these digital times, it’s all about new technologies, speeding up processes, gathering information easily, and managing our duties as fast as we can in just one click - anytime and everywhere we want. Since usability is stated as crucial for digital success, we are all experiencing its benefits and advantages.

Sounds great, doesn’t it? Well, not to everyone.

Due to disability, a large number of people are excluded from these advantages and thus, are excluded from our new digital society. Web Accessibility is not only necessary for about 30% of the people, but also part of human rights. Therefore, the EU enacted accessibility regulations: the EN 301459 including the Web Content Accessibility Guideline, which precisely states how to meet compliance with these regulations. The German government integrated this regulation and added 38 issues to the existing 60 WCAG guidelines in the BITV. Since these 98 aspects mentioned, cover a wide range of topics and we as a QA Company are driven by continuously improving software and expanding our knowledge, we decided to take the BITV test ourselves.

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Performance testing

Performance Testing is a software testing process used to evaluate a software application's speed, response time, stability, reliability, scalability, and resource usage under the expected workload. 

Performance tests are typically executed to examine speed, robustness, reliability, and application size. Performance testing goals include evaluating application output, processing speed, data transfer velocity, network bandwidth usage, maximum concurrent users, memory utilization, workload efficiency, and command response times. 

Shortly, the goal of Performance Testing is not to find bugs but to eliminate performance bottlenecks. 

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I am your worst nightmare - Let us talk about something scary!

I have said it before and I hate to say it again, but I have been working for 25 years in the software industry, but I have seen fairly small improvements over the years. It has been said that it is a young discipline and therefore it is prone to failure, and everyone needs to learn from their mistakes. Over the years a number of different methods, tools, processes, etc. have been presented to help us improve but still I hear more stories about projects that have quality problems and run over budget and time, compared to projects that succeed to meet their initial frames.

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Can you trust a tester?

I have worked in the software QA business for more than 20 years, helping clients with software testing and test management primarily. Something that I find interesting is when I can see connections between the IT business and other industries. Today I would like to discuss one of these topics. It’s one that came to mind in the light of a notable medical scandal.

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