Blogs

DocuART is a workflow-supporting chatbot that learns from corporate documents and process descriptions to provide instant and accurate answers to employee questions. The development focused on structured data extraction, secure data storage, and Azure integration. The system can handle private documents and natural language database queries, making DocuART an effective tool for internal communication, productivity, and employee satisfaction.

Dual education provides IT students with the opportunity to gain real work experience alongside their studies. According to Székesi Marcell, a medior developer at FrontEndART, this model not only makes studying easier but also offers a significant advantage in the job market. Flexible working hours and a supportive environment allow theoretical knowledge to be built on practical foundations. The experience gained over three years equips students with marketable skills before graduation, enabling them to enter the software industry with confidence.

Custom software development offers a more flexible, secure, and cost-effective solution in the long run compared to boxed systems. While ready-made software often forces companies to compromise, custom solutions are tailored precisely to the company's processes and needs. They provide full customization, a high level of security, and even AI-based features that increase efficiency and create competitive advantages. As a result, the business not only addresses current challenges but also builds a stable foundation for future growth.

Márk Keresztúri, a software tester at FrontEndART, found his passion for testing during his university studies. Thanks to the FrontEndART mentor program, he gained real-world experience in live projects which laid the foundation for his professional development. Today, he confidently works on both manual and automated testing tasks and also mentors younger colleagues. According to Márk, the most important traits of a successful tester are critical thinking and a commitment to continuous learning — these enable one to create real value in the development process.

By 2025, choosing a frontend framework is more than a technical decision—it’s strategic. It affects development speed, cost, and hiring. While React, Angular, and Vue.js remain top choices, it's important to evaluate frameworks based on development speed, learning curve, built-in tools, and maintenance costs. There’s no universal best—choose based on your product, team, and business goals. The real goal isn’t the technology itself, but building scalable, efficient, and user-valued applications.

FrontEndART Software Ltd. is participating in the Hungarian consortium of the international Mona Lisa project in collaboration with the University of Szeged and ELI-HU Nonprofit Ltd., with professional support from ITEA. The project's goal is to develop hardware-software integration in cyber-physical systems, supported by visual analytics tools to enhance safety, diagnostics, and validation. FrontEndART is tasked with advancing log processing technology, including developing code instrumentation methods, interfaces, and scalable visualizations. The company is committed to technological innovation and advancing industry standards, and this project provides an opportunity to apply their international expertise.

FrontEndART Software Ltd. is joining the Hungarian consortium of the international Mona Lisa project, alongside the University of Szeged and ELI-HU Nonprofit Ltd., with professional support from ITEA. The project focuses on improving hardware-software integration in cyber-physical systems to enhance reliability, diagnostics, and validation through advanced visual analytics. FrontEndART’s role centers on log processing technology, including code instrumentation, interface development, and scalable data visualization. Through this initiative, the company contributes to open-source innovation and strengthens its presence in international research collaborations.

Artificial intelligence is rapidly transforming software testing, offering faster, smarter, and more efficient solutions to long-standing challenges. From prioritizing test cases and uncovering blind spots in coverage to managing massive test libraries and accelerating regression testing, AI helps teams save time while reducing risks. Yet, it doesn’t replace human testers: creativity, intuition, and judgment remain irreplaceable in ensuring true quality. The future of testing lies in a symbiotic collaboration, where AI handles complexity and scale, and humans bring critical thinking and insight.

In just a few years, artificial intelligence has transformed nearly every industry in the world. There are still numerous development opportunities in this pioneering technology, but if businesses do not start using it, they are guaranteed to fall behind their competitors. This is no different in software testing, where the use of AI is likely to become the norm in the coming years, for example in test case generation or test result analysis. This will bring about significant advances in both software testing practices and mindset.

TMMi is an internationally recognized framework that measures the maturity of software testing processes and assists in their development. In this article, you can learn about how the TMMi 5 "Optimized" level works.

We have reached the next step in our TMMi article series, which is the third level of maturity for testing processes. The third level of the TMMi model focuses on standardizing and formalizing software testing processes. At this level, organizations develop and standardize their testing processes, which become coordinated, consistent, and repeatable. In this blog post, we will delve into TMMi Level 3, the "Defined" level.

Formulating a testing strategy is a fundamental element of the software testing process, defining the design and execution of tests. Our article introduces various types of testing strategies, their roles in the development cycle, and how they can enhance the efficiency of the testing process. Our goal is to provide a comprehensive overview of how software testing strategies can be applied to improve software quality and optimize development processes.

For several years now, the world has been in the midst of a digital revolution. Almost every day we are witnessing huge technological innovations and advances. This will be the same in 2024. We will see new innovations in technology and approaches that will require companies to constantly innovate and reinvent themselves to keep pace with the digital transformation. Already, we can mention some popular software testing tools and methodologies favoured by businesses for their efficiency and optimisation.

Are you ready for software testing trends in 2024? Whatever the answer, the news is already here!