Latest articles
Circular economy and Collaborative Networks: The Future of Asset Management
The global economy is shifting toward sustainability, driven by environmental urgency, regulatory demands, and evolving consumer expectations. Businesses are increasingly adopting circular economy principles, moving away from the linear “take, make, waste” model to systems that extend product lifecycles, minimize waste, and optimize resource use [Rejeb et al., 2025]. This transition aligns with the rise of Industry 5.0 (I5.0), which prioritizes sustainability, resilience, and human-centric collaboration. The integration of circular
Monoliths in the shadow of the micro
Microservices are emerging nowadays for the simple reason that monolithic applications are complex to maintain, evolve and administer. It was therefore necessary to segment our monolith into a multitude of fragments. These fragments allow for a much simpler technical and/or functional evolution.This evolution is now common in the backend domain. However, the problem of the
How to use VSCode and Moose to analyze Java projects?
VSCode is an amazing editing tool. Thanks to its extensions, one can develop using many programming languages. However, what about analyzing a software system using VSCode? In this article, we will show you how to use VSCode with Moose to analyze Java code. We use Christopher Fuhrman’s post as an example. Although we can perform
Generation of Interoperability Connectors: an efficient way to save time
Code generation has gradually become a prominent aspect of today’s software development. The process of writing software requires developers to frequently rewrite similar code repeatedly. This practice can be both time-consuming and tedious. Developers aim to occasionally write abstraction to keep their applications DRY (do not repeat yourself), however writing an abstraction is not always
Micro-application architecture: A guaranteed time saver
In order to guarantee better maintainability and scalability of our applications, we often have to break down our application into a multitude of micro-services with their own logic. These micro-services must be as autonomous as possible and fulfill a specific function in order to be able to reuse them in different contexts.This architecture is enormously
🧾DeepFacture🧾: When deep learning visually controls invoices
Before total digitalization, the invoices were visually checked by the agents. Today the invoices are entirely dematerialized, therefore nobody checks their layout, readability, and consistency with their metadata. In France, controlling an invoice dataflow (ORMC: Order of Multi Creditor Receipt) can take up to 1 full day. ORMC data flow is sent by more than
🇫🇷 L’illectronisme, un handicap majeur dans une société de plus en plus digitalisée
Le terme « illectronisme » est un néologisme transposant le problème d’illettrisme dans le domaine de l’information électronique. On peut le définir comme un manque de connaissances clés nécessaires à l’utilisation des ressources électroniques. On parle aussi d’illettrisme numérique, ce qui met bien en avant les difficultés de lecture des ressources numériques. Il est important
What is the place for the Low Code / No Code evolution?
The Low Code/No Code did not appear in the early 2020s, it is a trend that has already been taking shape for several decades and in 2021 the market is still in the creation phase. There are a very large number of well-known players such as Salesforce, OutSystems, K2, Mendix, ServiceNow, Appian, AgilePoint, or Microsoft
What is Federated Learning?
Nowadays, a massive amount of data is generated by devices such as smartphones and connected objects (IoT). This data is used to train high-performance machine learning (ML) models, making artificial intelligence (AI) present in our daily lives. Data is generally sent to the cloud, where it is stored, processed, and used to train models in
DEESSE: A Generic Search Engine based on Artificial Intelligence
In Berger-Levrault, several of our software products incorporate a search engine in themselves to facilitate access to information. This information can be encoded in files having various and varied formats. For example, Word, PDF, CSV, JSON or even XML files. Current search engines such as Lucene focus most of the time on keyword searches. This
Artificial Intelligence for Home Care Structures
The aging of the population leads to an increase in the number of people losing their autonomy and in situations of fragility. Due to the lack of space in medico-social institutions, home care structures (SAAD, SSIAD, SPASAD, and HAD) are an alternative offering a better environment for beneficiaries. We are working on a project whose objective
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
