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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

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Multiscale Visualisation: From Territory to BIM View

The technical management of the territory is today a challenge that requires being able to manage objects such as the city or the building and space which contains them at different scales. The following video demonstrates our research prototype integrated into CARL Source for multi-scale management of equipment. You will see that it is possible

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The MOTUS Project: Automatic Grouping by Theme of Support Tickets

Dear Project Managers, imagine if you could regroup automatically the thousands of maintenance tickets by topic in just one click. It would be nice no? This would have tremendous implications in priorising the bug fixing, improvement requests, new features, etc. Thus, saving significant amount of time and making better decisions. Well, this is what we

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Optimizing Maintenance Planning for CARL Software

The management of the maintenance interventions planning is complicated. A large set of constraints must be considered when managing the plan such as the adequacy between skills and intervention acts, the respect of contracts and the availability of technicians, etc. As a result, the production of a plan becomes a big challenge, as we often

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AI and Edge Computing at the service of IoT : Realization of an Augmented Sensor

Within the framework of a research & innovation working partnership on AI (Artificial Intelligence) and Edge Computing, the Adeunis and CARL/Berger-Levrault R&D teams have been working together for several months. CARL/Berger-Levrault is a European leader in equipment management (CMMS/EAM) and technical asset management, while Adeunis is a specialist in radio IoT solutions. These two entities

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🇫🇷 Semantic Search for Actes Office

Démonstration: L’Intelligence Artificielle et la Recherche d’Information au service de BL.ActesOffice Le module présenté dans cette démonstration permet de rechercher des documents sur une partie de la base d’ActesOffice en se basant sur des techniques appartenant au domaine de l’intelligence artificielle (IA), du traitement automatique des langues (TAL) et de la recherche d’Information (RI). Ces

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Automatic software migration: Business/services

Mono2Micro: From Monolithic Software to Versatile Microservices Over the past decade, there has been a significant paradigm shift towards cloud computing and web services. As organizations try to keep up with the latest trends, there has been a demand for shifting legacy systems to the Cloud. The microservice-oriented architecture (MSA) is a recent architectural style that has

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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

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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

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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,

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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

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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

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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

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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

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