We are currently in the age of AI, with its applications becoming integral to daily life and business. AI’s relevance extends beyond engineers, offering advantages across various jobs and activities. Many professions use AI to streamline processes, save time, and utilize existing knowledge. AI is already being used in many areas of everyday life and business through various types of chatbots. We can all agree that this approach is highly beneficial and time-saving. The key skill people need in this area is knowing how to prompt questions and requests to get the most accurate and valuable answers. There are even predictions that new jobs, such as prompting engineers, will soon emerge.

Synthetic v.s. anonymized data: what’s the difference? And which is better for your software testing needs?

In the software development lifecycle, testing with reliable and secure data is essential for ensuring quality and compliance. While actual production data may seem like the most natural choice, using it directly when testing comes with significant risks. Production data often contains sensitive information—such as customer details or transaction records—which could lead to privacy breaches and regulatory violations if accidentally exposed. There's also always a risk that actual production data can cause inconsistencies or conflicts when applied across different testing scenarios, potentially impacting test results and reducing repeatability.

A few years ago, our System Verification office in Sarajevo launched an internship program that has since brought many valuable and hardworking employees to our company—many of whom are still with us today. We are very proud of this initiative and look forward to continuing it in the years to come. One of our interns from the 2023 generation, Bilal Đedović, began his first work experience with us through this program. Just a year later, he’s already fully integrated into our team, tackling new challenges with dedication. Check out his journey with us.

Automated test generation has become a critical aspect of modern software development. As software systems grow in complexity, writing exhaustive tests manually becomes time-consuming, prone to errors, and can delay release cycles. Automated unit test generation helps developers create reliable, well-tested code efficiency, saving time and improving code quality.

At System Verification, we understand that working in the IT sector, particularly in Software Quality Assurance (SQA), demands a high level of expertise. Our consultants are expected to navigate complex frameworks, programming languages, and emerging technologies. Yet, technical proficiency alone is not enough to thrive in today’s fast-paced consulting environment.

In Part 1, we explored the challenge of unplanned downtime and the solution offered by AI-powered predictive maintenance. Now, let’s look at the concrete benefits for both manufacturing and software quality assurance (QA).

In both manufacturing and software development, unplanned downtime is a critical issue that can disrupt operations, cause significant financial losses, and reduce productivity. While in manufacturing, downtime often results from equipment failures, in the software world, it can be caused by system crashes, defects, or unexpected technical issues that halt production lines or customer-facing applications.

System Verification proudly supports causes that make a real difference, not just for today, but for tomorrow. Over the years, we have prioritized supporting initiatives that reflect our values, supporting education and sustainability. We have developed a long-standing partnership with “Ruku na Srce” in Bosnia and Herzegovina. This volunteer-based humanitarian organization is dedicated to helping families and children in need, bringing hope and meaningful change to their lives.

On October 15-16, it was time again for the annual conference Testforum, arranged by NFI, in Stockholm. A large number of people from the industry, the public sector, and academia attended the conference to listen to 14 presentations covering different aspects of testing.

In a rapidly changing digital world, it's more important than ever that quality assurance (QA) not only keeps up with development but also leads the way. As new technologies and innovations reshape the landscape for software development and testing, we ensure that we use the best tools and methods to deliver the highest quality to our customers. Gartner’s latest report on the 2025 strategic technology trends highlights several areas that will directly impact the future of QA, and here’s how we address these challenges and opportunities.