Latest articles
Usage discrepancies: when business software meets real life
Do users really follow the paths carefully mapped out by designers? And when reality goes beyond the scope of the design—which happens more often than we think—how can we know this other than through intuition and assumptions? On a daily basis, business-oriented software supports very concrete activities: managing leave, processing absences, tracking careers, producing regulatory reports, etc. In terms of design, these activities are translated into well-defined paths, supported by
Clément Colin Ph.D. thesis defense : “Multi-scale geospatial data management and visualisation applied for CMMS”
Tuesday 18th of June at 10h a.m. Paris time, Clément Colin, Ph.D. Candidate has defended his thesis named “Multi-scale geospatial data management and visualisation applied for CMMS”. His thesis defense took place at the conference room of the Faculty “IUT Lumière Lyon 2” in Villeurbanne, France. Take a look at the summary below : Summary
Extracting services from legacy software system
Let’s explore together the recent poster created by Soufyane Labsari and published about extracting services from legacy software systems. This work is done in collaboration with Inria.
Improved comment generation by LLMs
In the world of programming, creating efficient and functional software is a top priority, but it’s not just about writing lines of code. An essential part of the software development process is documentation, which includes the creation of explanatory comments that help to understand the operation and logic of the source code. However, writing these
Federated Learning, the security asset for local maintenance of your data
Predictive maintenance, coupled with the Internet of Things (IoT) and Artificial Intelligence (AI), represents a revolutionary approach to equipment maintenance. Traditionally, maintenance has been performed on a fixed schedule or in response to failures, leading to inefficiencies and downtime. Predictive maintenance aims to address these shortcomings by leveraging IoT sensors and AI algorithms to predict
Information extraction from Berger-Levrault books and articles
Historically, Berger-Levrault has been a publisher of legal and practical books and articles. The articles are on line and come from Légibases. Exploiting the knowledge contained in these texts is difficult. This is why it is necessary to structure the knowledge so that it can be accessed quickly. Berger-Levrault develops software solutions specialized in Automatic
A Modest first step in Test Generation
In the field of software development, code testing is a paramount task that should never be overlooked. At Berger-Levrault, we take this responsibility seriously and enforce a strict policy that includes the establishment of continuous integration (CI) and quality gates in our SonarQube server. Testing not only supports various developer activities, but also serves as
Boubou Thiam Niang Ph.D. thesis defense : “A Model-Driven Engineering and Software Product Line Approach to Support Interoperability in Evolving Systems of Information Systems”
Tuesday 28th of March at 10h a.m. Paris time, Boubou Thiam Niang, Ph.D. Candidate will defend his thesis named “A Model-Driven Engineering and Software Product Line Approach to Support Interoperability in Evolving Systems of Information Systems”. His thesis defense will take place at the conference room of the Faculty “IUT Lumière Lyon 2” in Bron,
Classification of business documents to aid extraction: the use of typed and weighted lexical-semantic relations
I’ve been a member of the Berger-Levrault research team since 2020. I’m working on a CIFRE thesis on methods and models for the automated construction of multi-domain ontology databases, in collaboration with the Montpellier Laboratory of Computer Science, Robotics and Microelectronics (LIRMM). This work was presented at the PFIA (Plate-forme Intelligence Artificielle) 2023 in Strasbourg
Integrate Software Engineering into the everyday world
I have been a member of the Berger-Levrault research team for 6 years. And, one of our main challenges is integrating our innovation into the day-to-day world of the company. There are several ways to incorporate innovation: as an external code library, providing schema, teaching how to use new tools, and so on. In this
Equipment 3D visualization in a CMMS application-2nd part
Find the first part of this article by following this link Navigation in the context of a CMMS asset using geometric and semantic data Our goal is to provide the user contextual views of an asset, thus to allow him to visualize the asset at different scale or using the many asset representations to answer
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)
Gabriel Darbord Ph.D. thesis defense: “Automatic test generation to help modernize our applications”
Friday 5th December at 9a.m. Paris time, Gabriel Darbord, Ph.D. Candidate has defended his thesis named “Automatic test generation to help modernize our applications”. His thesis defense took place in Lille, France. Take a look at the summary below. This thesis is fully in line with the partnership between Berger-Levrault and Inria, which aims to
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
