Latest articles
Enhancing Functional Testing Efficiency in Industrial Large-Scale Applications: Pertinent Test Selection
Introduction In modern software development, application reliability relies on effective testing strategies. Altough unit and integration tests secure internal consistency, functional testing remains essential for validating user-facing behaviors. For large-scale applications like Alpha Tool, running thousands of functional tests is challenging: it consumes vast resources, slows down delivery, and complicates analysis. This article explores the challenge of large-scale functional testing in Alpha Tool and shows how selecting only needed test
TreeTech: From paper based tree observation protocol to digital mobile app
As for buildings, roads, and bridges, urban nature requires regular inspections, including an active monitoring of the health status of trees composing it. Several methods of analysis of the state of development of urban trees exist: Crown-Condition Classification in the United States [Schomaker et al. 2007], DEPEFEU in France [Nageleisen 1996], CROCO in Japan [Mizoue
Bio-Inspired Planning Algorithms Ant Colony to generate HomeCare planning
Today, the aging of the population and the increase in life expectancy are leading to an increase in the number of people looins their autonomy and frailty. Noting the lack of places available in specialized institutions, an alternative is home care (HAD). Home-based care structures help reduce hospital overcharge and provide a better environment for
Forum for advances in visualization and visual analytics – VIS 2025 (Vienna – Austria)
IFIP/SOCOLNET – Hybrid Human-AI Collaborative Networks (Porto – Portugal)
La Mêlée Numérique – Artificial Revolutions (Toulouse – France)
Berger-Levrault strengthens its ties with AI startups!
We are proud to announce that we have joined Hub France IA, the largest association dedicated to artificial intelligence in France. This network now brings together more than 250 members—companies, startups, research laboratories, and institutions—who share the same goal: to accelerate the development and adoption of AI in France and Europe. Getting closer to the
Celebrating New PhDs from the BL.Research Team!
At Berger-Levrault, research is more than a mission—it’s a shared adventure. As the new academic year begins, we are proud to celebrate the success of four of our colleagues from the BL.Research team, who have reached a major milestone in their scientific journeys: the defense of their doctoral theses. These achievements are the result of
Hamza Safri Ph.D. thesis defense: “Federated learning for the IoT : Application for Industry 4.0”
Thuesday 24th June at 3pm Paris time, Hamza Safri, Ph.D. Candidate has defended his thesis named “Federated learning for the IoT: Application for Industry 4.0”. His thesis defense took place at the Inria Minatec Grenoble, Grenoble, France. Take a look at the summary below. Keywords: Model generalization, predictive maintenance, industrial IoT, federated learning, edge network,
ESUG 2025: Six contributions and 2 prizes for the Software Engineering Lab team!
Congratulations to our PhDs Nicolas Hlad, Aless Hosry, Benoit Verhaeghe and Pascal Zaragoza from Berger-Levrault’s BL.Research team for their participation in the 2025 edition of the ESUG (European Smalltalk User Group) conference! This year’s conference took place from July 1-4 in Gdansk, Poland. The theme was innovation in Smalltalk technologies and their use in software
Julien Breton Ph.D. thesis defense: “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”
Friday, 27th June at 1.30 pm Paris time, Julien Breton, Ph.D. Candidate has defended his thesis named “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”. His thesis defense took place at the IRIT research laboratory, Toulouse, France. Take a look at the summary below. Keywords: Legal compliance,Industrial maintenance, Norm extraction,LLM (Large
New White Paper – AI for maintenance! Challenges, Opportunities and Case Studies
How is artificial intelligence transforming maintenance practices today? What are the concrete opportunities for equipment, infrastructure and fleet managers? The new white paper published by CARL Berger-Levrault offers a rich and accessible insight into these strategic questions. Entitled “AI at the service of maintenance: challenges, opportunities and case studies”, this document summarizes experience in the
New White Paper – Agentic AI, a Software and Societal Revolution!
Research at Berger-Levrault is tackling a new frontier in artificial intelligence: that of (partially) autonomous agents capable of reasoning, planning, collaborating, orchestrating and learning in complex business environments. Our new white paper, “Beyond automation – How agentic AI is transforming the software industry”, shares with you an in-depth analysis of this ongoing technological revolution, its
Clément talks at BIM World 2025 on the future of augmented maintenance using BIM models
At BIM World 2025, held in Paris on April 2-3, Clément Colin, our research engineer in BL Research team, spoke at a workshop dedicated to Digital Twins, alongside Laurent Truscello, Product Marketing Manager at Carl Berger-Levrault. The theme of their talk: “GEM & GMAO – Valuing and increasing the use of your BIM models for
