Logo BL RESEARCH.
Search

Latest articles

software development

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

Read More »

Building an Ontological Knowledge Base from Berger Levrault Editorial database

Context Ontologies are widely used in information retrieval (IR), Questions/Answers, and decision support systems, and have gained recognition as they are now being considered the new answer to semantic interoperability in modern computer systems and the next big solution for knowledge representation. The structuring and management of knowledge are at the heart of the concerns

Read More »

Scientific paper accepted at the QUATIC 2020 conference

A few weeks ago, 3 DRI engineers had their paper accepted in the QUATIC 2020 conference. QUATIC 2020 is the 13th conference on the Quality of Information and Communications Technology, which will take place on September 8-11, 2020. The selected paper is about: “Challenges for Layout Validation: Lessons Learned”. As part of Berger Levrault’s program

Read More »

Adaptative Maintenance: CARL’S IoT Platform

In 2016, industrial customers have asked us about our vision of the industry of the future, and in particular the maintenance function.We set up a working group including 3 major industrial accounts to study the impact of the Plant 4.0 concept on maintenance: digital tools, organization, skills, new business models, and confidence in digital technology.After

Read More »

DevOps & Middleware: a new project to facilitate the management of our deployments and enhance their reliability

A new collaboration project has been initiated with the team Spirals of INRIA Lille laboratory. In this project, we want to address the steering, orchestration, and maintenance mechanisms for our applications’ packaging, delivery, and deployment activities. The lack of formalization and traceability on the actions that are carried out for the deployment of our applications,

Read More »

The Helios Project

A few weeks ago, the DRIT began working on a particularly innovative project that should be useful to us all: The Helios project.The ambition is to build an automatic observatory that collects, sorts, and classifies information from the net. The system is intended to be flexible and should enable us to keep a watch on

Read More »
dublin, trinity college, library

Knowledge at your fingertips: Building an Ontological Knowledge Base from our Editorial database

Our times are increasingly influenced by the prevalence of large volumes of data. These data most often hide great human intelligence. This intrinsic knowledge; whatever the field; would allow our information systems to be much more efficient in the processing and interpretation of structured and unstructured data. For example, the process of finding relevant documents

Read More »

Automating the Detection of Duplicates in our Databases

Today’s complex applications for knowledge extraction and data mining use heterogeneous and distributed data. In this context, the quality of any decision depends on the quality of the data used. In fact, with the lack of accurate and reliable data, bad decisions can be made. In order to provide a better understanding of the source

Read More »

Testing the migration of Graphical User Interfaces

Technologies and frameworks are not immortal, it’s a fact. For a software editor like us, it is regularly a necessity to migrate a framework to another. When you consider, large software like e-sedit for example, migrating the entire software in one shot is almost impossible. Many companies are migrating their software systems. And so, we

Read More »

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

Read More »

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

Read More »

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,

Read More »

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

Read More »

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

Read More »

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

Read More »

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

Read More »
Scroll to Top