Latest articles
GitHub Copilot in an R&D Context: Experimentation Feedback and Usage Analysis
After nearly a year of daily use of GitHub Copilot in a software research and development context, here is a feedback report based on my real-world experience. I work as a full-stack developer on projects involving Python, TypeScript (Angular), as well as more transversal topics such as documentation, configuration, and DevOps. Over the months, GitHub Copilot has established itself as a tool that is both powerful and imperfect. It has
Webinar IA x Maintenance: Explore the benefits of AI applied to CMMS!
Discover our new Webinar: Explore the benefits of AI applied to CMMS! On Thursday, September 19 – 10:30 am to 11:30 Christophe Bortolaso, Applied Research Manager de l’équipe BL Research (DRIT) and his colleague Laurent Truscello, Product & Innovations Manager (CARL Berger-Levrault), invites you to take part in the Webinar “Explore the benefits of artificial
Enhancing Prompt Engineering using Model-Driven Engineering Techniques
In the fascinating field of artificial intelligence, an important discipline is emerging: “Prompt Engineering“. In a time where machines possess the ability to understand and generate text and code, focusing on prompt engineering becomes crucial to enhance the effectiveness and significance of interactions between humans and AI models specifically Large Language Models (LLMs). While many
Best Paper Award to Gabriel: Modest-Pharo, a collaborative work between Berger-Levrault & Inria
Gabriel Darbord started his Ph.D. two years ago in the Evref team at Inria, a joint project team with Berger-Levrault, supervised by Anne Etien (Pr.) and Nicolas Anquetil (MCF). His thesis focuses on the area of test generation, an essential component in the software development lifecycle. His research work is in partnership between: University of
Integrating 3D geospatial data
Being able to create unified views of all kinds of geospatial data (2D, 3D, and semantic data) from the BIM and CIM domains is essential for decision-making in urban development projects and in a CMMS context. Our objective is to provide users with integrated and navigable views of available representation of urban objects through a
Not all Hallucinations are Good to Throw Away When it Comes to Legal Abstractive Summarization
The extensive use of Large Language Models (LLMs) for summarization tasks brings new challenges. One of the most important is related to the LLMs’ tendency to generate hallucinations, i.e., texts that give the impression of being fluid and natural, despite their lack of fidelity and nonsensical nature. Hallucinations can be factual: a source of knowledge,
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
ICPC – 34th International Conference on Program Comprehension (Rio de Janeiro – Brazil)
Forum for advances in visualization and visual analytics – VIS 2025 (Vienna – Austria)
IFIP/SOCOLNET – Hybrid Human-AI Collaborative Networks (Porto – Portugal)
Camille Dupré Ph.D. thesis defense: “Pad-based Interaction in Mixed Reality environments”
Thursday 18th December at 2p.m. Paris time, Camille Dupré, Ph.D. Candidate has defended her thesis named “Pad-based Interaction in Mixed Reality environments”. Her thesis defense took place at the LISN, in Gif-sur-Yvette (660 Av. des Sciences Bâtiment, 91190), France. Take a look at the summary below. Summary Mixed Reality (MR) environments integrate virtual elements into
Nihed Bendahman Ph.D. thesis defense: “Evaluation and mitigation of hallucinations in automatic summarization in the specific context of legal documents”
Monday 15th December at 2p.m. Paris time, Nihed Bendahman, Ph.D. Candidate has defended her thesis named “Evaluation and mitigation of hallucinations in automatic summarization in the specific context of legal documents”. Her thesis defense took place at the IRIT Research Laboratory, in Toulouse, France. Take a look at the summary below. Summary Legal monitoring is a
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
